performix-site

Performix public corpus over MCP: guides, books, evidence, outcome models, plus a computing tool.

Sollte ich dies verwenden

Qualität der Beschreibung

95%

Vollständigkeit des Schemas

79%

Qualität der Benennung

98%

Risiko der Vergiftung

40%

Übereinstimmung der Berechtigungen

100%

Einhaltung des Protokolls

100%

Befunde (7)

HIGHTool poisoning patterns detected
MEDIUMTool 'list_evidence_sources' description contains placeholder textin list_evidence_sources
MEDIUMTool 'get_evidence_source' description contains placeholder textin get_evidence_source
MEDIUMTool 'get_guide_part' description contains placeholder textin get_guide_part
INFOTool description contains placeholder or incomplete textin list_evidence_sources
INFOTool description contains placeholder or incomplete textin get_evidence_source
INFOTool description contains placeholder or incomplete textin get_guide_part

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~4,855Tokens (Tool-Definitionen)

~3.7 KBTypische Antwortgröße

Erhebliche Auswirkung auf die Aufmerksamkeit (3.79% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "performix-site": {
      "url": "https://performix.app/api/mcp"
    }
  }
}

Remote-Endpunkte

https://performix.app/api/mcpstreamable-http

Was es kann

Tool-Inventar

List the public, grounded capability guides published on performix.app/guide — each a cross-book model of the evidence for one hard executive capability (e.g. leading an R&D team). Free to read in full; no auth required.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "count": {
      "type": "number"
    },
    "guides": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "slug": {
            "type": "string"
          },
          "title": {
            "type": "string"
          },
          "subtitle": {
            "type": "string"
          },
          "actionStatement": {
            "type": "string"
          },
          "clusterId": {
            "type": "string"
          }
        },
        "required": [
          "slug",
          "title",
          "subtitle",
          "actionStatement",
          "clusterId"
        ],
        "additionalProperties": false
      }
    }
  },
  "required": [
    "count",
    "guides"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#",
  "additionalProperties": false
}

Get the full free content of one capability guide by slug (from list_guides) — the five-movement guide structure (Orient, Map, Master, Reflect, Measure): the pitch/overview, every load-bearing section (summary, why it matters, misconception/reality, how-to, watch-out-fors, grounding), the open tensions in the corpus, and the sources grounding it. This is the same content rendered publicly at performix.app/guide/<slug> — never the entitlement-gated 'depth' layer.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "description": "Guide slug, e.g. lead-high-performing-rd-team."
    }
  },
  "required": [
    "slug"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "guide": {
      "type": "object",
      "properties": {
        "slug": {
          "type": "string"
        },
        "cluster_id": {
          "type": "string"
        },
        "title": {
          "type": "string"
        },
        "subtitle": {
          "type": "string"
        },
        "action_statement": {
          "type": "string"
        },
        "pitch": {
          "type": "string"
        },
        "overview": {
          "type": "string"
        },
        "status": {
          "type": "string"
        },
        "sections": {
          "type": "array",
          "items": {
            "type": "object",
            "properties": {
              "construct_id": {
                "type": "string"
              },
              "name": {
                "type": "string"
              },
              "stage": {
                "type": "string"
              },
              "priority": {
                "type": "number"
              },
              "summary": {
                "type": "string"
              },
              "why_it_matters": {
                "type": "string"
              },
              "misconception_reality": {
                "type": "array",
                "items": {
                  "type": "object",
                  "properties": {
                    "misconception": {
                      "type": "string"
                    },
                    "reality": {
                      "type": "string"
                    }
                  },
                  "required": [
                    "misconception",
                    "reality"
                  ],
                  "additionalProperties": false
                }
              },
              "how_to": {
                "type": "array",
                "items": {
                  "type": "string"
                }
              },
              "watch_out_for": {
                "type": "array",
                "items": {
                  "type": "string"
                }
              },
              "grounded_in": {
                "type": "array",
                "items": {
                  "type": "object",
                  "properties": {
                    "title": {
                      "type": "string"
                    },
                    "library_id": {
                      "type": [
                        "string",
                        "null"
                      ]
                    }
                  },
                  "required": [
                    "title",
                    "library_id"
                  ],
                  "additionalProperties": false
                }
              }
            },
            "required": [
              "construct_id",
              "name",
              "stage",
              "priority",
              "summary",
              "why_it_matters",
              "misconception_reality",
              "how_to",
              "watch_out_for",
              "grounded_in"
            ],
            "additionalProperties": false
          }
        },
        "tensions": {
          "type": "array",
          "items": {
            "type": "object",
            "properties": {
              "name": {
                "type": "string"
              },
              "guidance": {
                "type": "string"
              },
              "status": {
                "type": "string"
              },
              "poles": {
                "type": "array",
                "items": {
                  "type": "string"
                }
              }
            },
            "required": [
              "name",
              "guidance",
              "status",
              "poles"
            ],
            "additionalProperties": false
          }
        },
        "sources": {
          "type": "array",
          "items": {
            "type": "object",
            "properties": {
              "title": {
                "type": "string"
              },
              "author": {
                "type": "string"
              },
              "library_id": {
                "type": [
                  "string",
                  "null"
                ]
              },
              "abstract": {
                "type": "string"
              }
            },
            "required": [
              "title",
              "author",
              "library_id",
              "abstract"
            ],
            "additionalProperties": false
          }
        },
        "grounding_summary": {
          "type": "string"
        },
        "canonicalUrl": {
          "type": "string"
        }
      },
      "required": [
        "slug",
        "cluster_id",
        "title",
        "subtitle",
        "action_statement",
        "pitch",
        "overview",
        "status",
        "sections",
        "tensions",
        "sources",
        "grounding_summary",
        "canonicalUrl"
      ],
      "additionalProperties": false
    }
  },
  "required": [
    "guide"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#",
  "additionalProperties": false
}

List the performance-science reading corpus behind Performix — book/cluster profiles, each with a stance toward the CAMS diagnostic thesis (ally, orthodoxy, mixed, leave-out) and a one-line argument summary. Optional `query` filters by a case-insensitive substring match against title, authors, tradition and blurb.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "description": "Case-insensitive substring filter against title/authors/tradition/blurb.",
      "type": "string"
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "count": {
      "type": "number"
    },
    "books": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "slug": {
            "type": "string"
          },
          "title": {
            "type": "string"
          },
          "authors": {
            "type": "string"
          },
          "year": {
            "type": "string"
          },
          "tradition": {
            "type": "string"
          },
          "stanceLabel": {
            "type": "string"
          },
          "stance": {
            "type": "string"
          },
          "blurb": {
            "type": "string"
          }
        },
        "required": [
          "slug",
          "title",
          "authors",
          "year",
          "tradition",
          "stanceLabel",
          "stance",
          "blurb"
        ],
        "additionalProperties": false
      }
    }
  },
  "required": [
    "count",
    "books"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#",
  "additionalProperties": false
}

Get the full grounded profile for one book/cluster record by slug (from list_books): the record's own argument (contrast-not-summary) plus metadata and cross-links. Same content rendered publicly at performix.app/learn/books/<slug>.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "description": "Book slug, e.g. aguinis-performance-management."
    }
  },
  "required": [
    "slug"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "book": {
      "type": "object",
      "properties": {
        "slug": {
          "type": "string"
        },
        "title": {
          "type": "string"
        },
        "authors": {
          "type": "string"
        },
        "year": {
          "type": "string"
        },
        "tradition": {
          "type": "string"
        },
        "stanceLabel": {
          "type": "string"
        },
        "stance": {
          "type": "string"
        },
        "blurb": {
          "type": "string"
        },
        "guidePartSlugs": {
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        "useCaseSlugs": {
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        "canonicalLibraryId": {
          "type": [
            "string",
            "null"
          ]
        },
        "body": {
          "type": "string"
        },
        "canonicalUrl": {
          "type": "string"
        }
      },
      "required": [
        "slug",
        "title",
        "authors",
        "year",
        "tradition",
        "stanceLabel",
        "stance",
        "blurb",
        "guidePartSlugs",
        "useCaseSlugs",
        "canonicalLibraryId",
        "body",
        "canonicalUrl"
      ],
      "additionalProperties": false
    }
  },
  "required": [
    "book"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#",
  "additionalProperties": false
}

List the 196 source records behind Performix's Performance Science Library — each a book, paper or corpus item with at least one derived finding, plus which CAMS dimensions (capability/alignment/motivation/support) its findings touch. Same source list rendered at performix.app/learn/evidence. NOTE: 132 of 196 sources carry an upstream placeholder citation title pending backfill (HO-2431) — check `citationPlaceholder` before treating `title`/`venue` as a real bibliographic record. Optional `query` filters by a case-insensitive substring over authors/title/venue; optional `camsDimension` filters to sources with at least one finding filed on that dimension.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "description": "Case-insensitive substring filter against authors/title/venue.",
      "type": "string"
    },
    "camsDimension": {
      "description": "Restrict to sources with at least one finding filed on this CAMS dimension.",
      "type": "string",
      "enum": [
        "capability",
        "alignment",
        "motivation",
        "support"
      ]
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "count": {
      "type": "number"
    },
    "sources": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string"
          },
          "sourceType": {
            "type": "string"
          },
          "authors": {
            "type": "string"
          },
          "year": {
            "type": "number"
          },
          "title": {
            "type": "string"
          },
          "venue": {
            "type": "string"
          },
          "citationPlaceholder": {
            "type": "boolean"
          },
          "camsDimensions": {
            "type": "array",
            "items": {
              "type": "string"
            }
          },
          "findingsCount": {
            "type": "number"
          }
        },
        "required": [
          "id",
          "sourceType",
          "authors",
          "year",
          "title",
          "venue",
          "citationPlaceholder",
          "camsDimensions",
          "findingsCount"
        ],
        "additionalProperties": false
      }
    }
  },
  "required": [
    "count",
    "sources"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#",
  "additionalProperties": false
}

Get the full source → finding → construct → survey-item evidence chain for one source by id (from list_evidence_sources): its citation, every finding extracted from it, the constructs derived from each finding, and the survey items derived from each construct. Same content rendered at performix.app/learn/evidence/<id>. HONESTY: the citation is exposed as-is, including the 132 sources still carrying a placeholder title (HO-2431) — `citationPlaceholder` says which.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string",
      "description": "Source id, e.g. source.corpus.aguinis_2019 (from list_evidence_sources)."
    }
  },
  "required": [
    "id"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "source": {
      "type": "object",
      "properties": {
        "id": {
          "type": "string"
        },
        "sourceType": {
          "type": "string"
        },
        "citation": {
          "type": "object",
          "properties": {
            "authors": {
              "type": "string"
            },
            "year": {
              "type": "number"
            },
            "title": {
              "type": "string"
            },
            "venue": {
              "type": "string"
            },
            "doi": {
              "type": [
                "string",
                "null"
              ]
            },
            "url": {
              "type": [
                "string",
                "null"
              ]
            }
          },
          "required": [
            "authors",
            "year",
            "title",
            "venue",
            "doi",
            "url"
          ],
          "additionalProperties": false
        },
        "citationPlaceholder": {
          "type": "boolean"
        },
        "ingestedAt": {
          "type": "string"
        },
        "findings": {
          "type": "array",
          "items": {
            "type": "object",
            "properties": {
              "id": {
                "type": "string"
              },
              "label": {
                "type": "string"
              },
              "pageRange": {
                "type": [
                  "string",
                  "null"
                ]
              },
              "camsDimension": {
                "type": "string"
              },
              "camsSubconstruct": {
                "type": [
                  "string",
                  "null"
                ]
              },
              "evidenceGrade": {
                "type": "string"
              },
              "studyType": {
                "type": [
                  "string",
                  "null"
                ]
              },
              "constructs": {
                "type": "array",
                "items": {
                  "type": "object",
                  "properties": {
                    "id": {
                      "type": "string"
                    },
                    "label": {
                      "type": "string"
                    },
                    "camsDimension": {
                      "type": "string"
                    },
                    "surveyItems": {
                      "type": "array",
                      "items": {
                        "type": "object",
                        "properties": {
                          "id": {
                            "type": "string"
                          },
                          "text": {
                            "type": "string"
                          },
                          "camsDimension": {
                            "type": "string"
                          },
                          "evidenceWeight": {
                            "type": [
                              "number",
                              "null"
                            ]
                          },
                          "irtDifficulty": {
                            "type": [
                              "number",
                              "null"
                            ]
                          },
                          "inActiveRotation": {
                            "type": "boolean"
                          }
                        },
                        "required": [
                          "id",
                          "text",
                          "camsDimension",
                          "evidenceWeight",
                          "irtDifficulty",
                          "inActiveRotation"
                        ],
                        "additionalProperties": false
                      }
                    }
                  },
                  "required": [
                    "id",
                    "label",
                    "camsDimension",
                    "surveyItems"
                  ],
                  "additionalProperties": false
                }
              }
            },
            "required": [
              "id",
              "label",
              "pageRange",
              "camsDimension",
              "camsSubconstruct",
              "evidenceGrade",
              "studyType",
              "constructs"
            ],
            "additionalProperties": false
          }
        },
        "sourceStats": {
          "type": "object",
          "properties": {
            "findings": {
              "type": "number"
            },
            "constructs": {
              "type": "number"
            },
            "surveyItems": {
              "type": "number"
            }
          },
          "required": [
            "findings",
            "constructs",
            "surveyItems"
          ],
          "additionalProperties": false
        },
        "canonicalUrl": {
          "type": "string"
        }
      },
      "required": [
        "id",
        "sourceType",
        "citation",
        "citationPlaceholder",
        "ingestedAt",
        "findings",
        "sourceStats",
        "canonicalUrl"
      ],
      "additionalProperties": false
    }
  },
  "required": [
    "source"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#",
  "additionalProperties": false
}

List the constructed outcome-model register behind Performix diagnostics — 28 per-outcome factor models generated from principia's meta-analytic library, each with its driver count, grade-A driver count, CAMS filing counts, and persona reach. Same register rendered at performix.app/learn/models. Also returns `namedUnmodellable` — outcomes named in the catalog with no constructed model yet. MEASUREMENT-INTEGRITY (PFX-589): this list carries no effect sizes at all; call get_outcome_model for a driver table, which withholds `r` below evidence tier T3 exactly as the public page does.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "count": {
      "type": "number"
    },
    "models": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "outcomeId": {
            "type": "string"
          },
          "name": {
            "type": "string"
          },
          "depth": {
            "type": "string"
          },
          "driverCount": {
            "type": "number"
          },
          "gradeACount": {
            "type": "number"
          },
          "principiaId": {
            "type": "string"
          },
          "personaCount": {
            "type": "number"
          },
          "status": {
            "type": "string"
          },
          "camsCounts": {
            "type": "object",
            "properties": {
              "capability": {
                "type": "number"
              },
              "alignment": {
                "type": "number"
              },
              "motivation": {
                "type": "number"
              },
              "support": {
                "type": "number"
              },
              "unmapped": {
                "type": "number"
              }
            },
            "required": [
              "capability",
              "alignment",
              "motivation",
              "support",
              "unmapped"
            ],
            "additionalProperties": false
          }
        },
        "required": [
          "outcomeId",
          "name",
          "depth",
          "driverCount",
          "gradeACount",
          "principiaId",
          "personaCount",
          "status",
          "camsCounts"
        ],
        "additionalProperties": false
      }
    },
    "namedUnmodellable": {
      "type": "array",
      "items": {
        "type": "string"
      }
    }
  },
  "required": [
    "count",
    "models",
    "namedUnmodellable"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#",
  "additionalProperties": false
}

Get one outcome's full driver table by id (from list_outcome_models): every driver's name, definition, CAMS dimension, lens role, evidence grade, study count (k), and evidence-reliability tier — plus drivers cited in the corpus with no meta-analytic effect size, and the personas that own this outcome. Same content rendered at performix.app/learn/models/<id>. MEASUREMENT-INTEGRITY (PFX-589, a portfolio standing rule): a driver's `r` is null unless its tier is T3 — this tool withholds exactly what the public page withholds and nothing less; VOI figures and overlap-corrected variance contributions are never exposed by this tool at any tier.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string",
      "description": "Outcome id, e.g. quota_attainment (from list_outcome_models)."
    }
  },
  "required": [
    "id"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "model": {
      "type": "object",
      "properties": {
        "outcomeId": {
          "type": "string"
        },
        "name": {
          "type": "string"
        },
        "unit": {
          "type": "string"
        },
        "depth": {
          "type": "string"
        },
        "principiaId": {
          "type": "string"
        },
        "registerVersion": {
          "type": "string"
        },
        "drivers": {
          "type": "array",
          "items": {
            "type": "object",
            "properties": {
              "constructId": {
                "type": "string"
              },
              "name": {
                "type": "string"
              },
              "definition": {
                "type": "string"
              },
              "camsDimension": {
                "type": [
                  "string",
                  "null"
                ]
              },
              "lensRole": {
                "type": "string"
              },
              "evidenceGrade": {
                "type": "string"
              },
              "kStudies": {
                "type": "number"
              },
              "tier": {
                "type": "string"
              },
              "r": {
                "type": [
                  "number",
                  "null"
                ]
              },
              "tierLabel": {
                "type": [
                  "string",
                  "null"
                ]
              },
              "calibration": {
                "type": "object",
                "properties": {
                  "display": {
                    "type": "string"
                  },
                  "title": {
                    "type": "string"
                  }
                },
                "required": [
                  "display",
                  "title"
                ],
                "additionalProperties": false
              }
            },
            "required": [
              "constructId",
              "name",
              "definition",
              "camsDimension",
              "lensRole",
              "evidenceGrade",
              "kStudies",
              "tier",
              "r",
              "tierLabel",
              "calibration"
            ],
            "additionalProperties": false
          }
        },
        "driversNotHeld": {
          "type": "array",
          "items": {
            "type": "object",
            "properties": {
              "name": {
                "type": "string"
              }
            },
            "required": [
              "name"
            ],
            "additionalProperties": false
          }
        },
        "personas": {
          "type": "array",
          "items": {
            "type": "object",
            "properties": {
              "slug": {
                "type": "string"
              },
              "label": {
                "type": "string"
              }
            },
            "required": [
              "slug",
              "label"
            ],
            "additionalProperties": false
          }
        },
        "disclosure": {
          "type": "string"
        },
        "generatedBy": {
          "type": "string"
        },
        "canonicalUrl": {
          "type": "string"
        }
      },
      "required": [
        "outcomeId",
        "name",
        "unit",
        "depth",
        "principiaId",
        "registerVersion",
        "drivers",
        "driversNotHeld",
        "personas",
        "disclosure",
        "generatedBy",
        "canonicalUrl"
      ],
      "additionalProperties": false
    }
  },
  "required": [
    "model"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#",
  "additionalProperties": false
}

List all 12 parts (8 numbered parts + 4 appendices) of the Team Performance Science Guide, Performix's cited public reference on why team performance varies and the CAMS diagnostic frame — same table of contents rendered at performix.app/learn. Each row carries `status` (live | draft | stub) so a caller can see which parts are actually publishable before calling get_guide_part.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "count": {
      "type": "number"
    },
    "parts": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "slug": {
            "type": "string"
          },
          "numberLabel": {
            "type": "string"
          },
          "position": {
            "type": "number"
          },
          "title": {
            "type": "string"
          },
          "description": {
            "type": "string"
          },
          "status": {
            "type": "string"
          },
          "camsDimension": {
            "type": [
              "string",
              "null"
            ]
          }
        },
        "required": [
          "slug",
          "numberLabel",
          "position",
          "title",
          "description",
          "status",
          "camsDimension"
        ],
        "additionalProperties": false
      }
    }
  },
  "required": [
    "count",
    "parts"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#",
  "additionalProperties": false
}

Get the full body of one Team Performance Science Guide part by slug (from list_guide_parts). Same content rendered at performix.app/learn/<slug>. A part whose `status` is `stub` has no publishable body yet and returns an error rather than a placeholder — check `list_guide_parts`' `status` field first if you want to skip those.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "description": "Guide part slug, e.g. part-2-capability (from list_guide_parts)."
    }
  },
  "required": [
    "slug"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "part": {
      "type": "object",
      "properties": {
        "slug": {
          "type": "string"
        },
        "numberLabel": {
          "type": "string"
        },
        "position": {
          "type": "number"
        },
        "title": {
          "type": "string"
        },
        "description": {
          "type": "string"
        },
        "status": {
          "type": "string"
        },
        "camsDimension": {
          "type": [
            "string",
            "null"
          ]
        },
        "body": {
          "type": "string"
        },
        "canonicalUrl": {
          "type": "string"
        }
      },
      "required": [
        "slug",
        "numberLabel",
        "position",
        "title",
        "description",
        "status",
        "camsDimension",
        "body",
        "canonicalUrl"
      ],
      "additionalProperties": false
    }
  },
  "required": [
    "part"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#",
  "additionalProperties": false
}

The runnable library's weakest-lever read, computed here from the committed book model: rate how present each of the book's levers is on your team (1–5) and get the one to work on first, ranked by weakness then causal leverage — the SAME function performix.app/learn/library uses. Levers come from list_books' exec-shelf slugs (e.g. the-culture-code). N=1, self-report, not psychometrically calibrated: tier INFERRED. Refuses degenerate ratings (fewer than two levers rated, all ratings equal, or values outside 1–5) instead of inventing an answer.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "description": "Exec-shelf book slug, e.g. the-culture-code."
    },
    "ratings": {
      "type": "object",
      "propertyNames": {
        "type": "string"
      },
      "additionalProperties": {
        "type": "number"
      },
      "description": "Lever id → rating 1..5 (lever ids come from the book's model constructs; rate at least two)."
    }
  },
  "required": [
    "slug",
    "ratings"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string"
    },
    "title": {
      "type": "string"
    },
    "itemsTotal": {
      "type": "number"
    },
    "weakest": {
      "type": "object",
      "properties": {
        "id": {
          "type": "string"
        },
        "label": {
          "type": "string"
        },
        "rating": {
          "type": "number"
        },
        "outDegree": {
          "type": "number"
        },
        "score": {
          "type": "number"
        },
        "drivesOutcomes": {
          "type": "array",
          "items": {
            "type": "string"
          }
        }
      },
      "required": [
        "id",
        "label",
        "rating",
        "outDegree",
        "score",
        "drivesOutcomes"
      ],
      "additionalProperties": false
    },
    "ranked": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string"
          },
          "label": {
            "type": "string"
          },
          "rating": {
            "type": "number"
          },
          "outDegree": {
            "type": "number"
          },
          "score": {
            "type": "number"
          },
          "drivesOutcomes": {
            "type": "array",
            "items": {
              "type": "string"
            }
          }
        },
        "required": [
          "id",
          "label",
          "rating",
          "outDegree",
          "score",
          "drivesOutcomes"
        ],
        "additionalProperties": false
      }
    },
    "honesty": {
      "type": "object",
      "properties": {
        "basis": {
          "type": "string"
        },
        "tier": {
          "type": "string",
          "const": "INFERRED"
        },
        "note": {
          "type": "string"
        }
      },
      "required": [
        "basis",
        "tier",
        "note"
      ],
      "additionalProperties": false
    }
  },
  "required": [
    "slug",
    "title",
    "itemsTotal",
    "weakest",
    "ranked",
    "honesty"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#",
  "additionalProperties": false
}

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