菜单
Hub skill for cognitive_case_diagrams Layer-2 src — case categories, diagrams, enriched/topos semantics, scalar and distributional active inference, quantum POVMs, security validators, and figure generation. Use when editing or importing from projects/cognitive_case_diagrams/src.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Linguistic case formally typed as an analytic category — CaseRole, Morphism, AlignmentFunctor, MonoidalFunctor, Natural Transformations. Crucial for §2 core topology, downstream §7c DAIF alignment, and §9b adversarial injection formal verification.
Scalar active inference on case diagrams — beliefs, variational free energy, belief updates, prediction error, EFE, N400/P600 proxies. Use for §7; use src.daif for distributional returns and full ERP pipeline (§7c).
Distributional Active Inference — push-forward returns, quantile/IQN updates, VMP/Bethe FE, distributional case assignment, policy G(π), ERP profiles, convergence metrics. Use for manuscript §7c and quantitative DAIF results.
DisCoCat/DisCoCirc-style string diagrams, complexity metrics, ditransitive constructions, discourse-level prompt scanning. Use for manuscript §3–§4c (and cross-links to §5b magnitude homology metrics, §9b protocol-level checks where `Discourse` is used).
[0,1]-enriched categories, standard proximity matrix, categorical magnitude helpers. Use for §5 distributional proximity and enrichment that feeds cognitive/security modules.
POVM-based quantum case assignment — CasePOVM, case probabilities, crisp/graded/fluid-S POVM factories, semantic state helpers. Use for §8 and §8b quantum semantics.
| name | ccd-src |
| description | Hub skill for cognitive_case_diagrams Layer-2 src — case categories, diagrams, enriched/topos semantics, scalar and distributional active inference, quantum POVMs, security validators, and figure generation. Use when editing or importing from projects/cognitive_case_diagrams/src. |
src/ hubcognitive/; return distributions / §7c → daif/).src or subpackages; keep algorithms in src/, orchestration in scripts/.| Path | Skill name |
|---|---|
case_systems/SKILL.md | ccd-case-systems |
diagrams/SKILL.md | ccd-diagrams |
enriched_cat/SKILL.md | ccd-enriched-cat |
topos_theory/SKILL.md | ccd-topos-theory |
cognitive/SKILL.md | ccd-cognitive |
daif/SKILL.md | ccd-daif |
quantum/SKILL.md | ccd-quantum |
security/SKILL.md | ccd-security |
visualization/SKILL.md | ccd-visualization |
from src import (
CaseRole, CaseCategory, Morphism,
standard_case_category, minimal_case_category, introductory_case_category,
AlignmentFunctor,
Sentence, Discourse, EnrichedCategory, standard_enriched_category,
CaseDiagramBelief, variational_free_energy,
DistributionalReturn, DAIFResult, ERPProfile,
CasePOVM, CaseFrameValidator,
)
Authoritative list: __all__ in __init__.py.
case_systems ← none · diagrams, enriched_cat, topos_theory, quantum ← case_systems · cognitive ← case_systems, enriched_cat · daif ← cognitive, enriched_cat, case_systems · security ← case_systems, enriched_cat · visualization ← any of the above.
generate_manuscript_metrics.py collects test and daif counts and writes output/metrics.json for ${variable} injection in manuscript Markdown.