mikubaka88/ccfa-skills

ccf-integrity-auditor

Audit CCF paper integrity: claim-support alignment, result-to-claim consistency, numeric consistency, terminology consistency, figure/table-to-text consistency, existing citation existence, BibTeX metadata, and citation-context support.

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Original skill document

Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.

CCF Integrity Auditor

Core Rule

Trace each important claim to supplied evidence, each number to supplied results, and each citation to a real cited work and a supported citation context. Mark unsupported items instead of repairing them by invention.

Modes

  • claim-audit: claim-support and result-to-claim consistency.
  • numeric-audit: numbers, units, table/figure/text agreement, deltas, and metric direction.
  • citation-audit: already cited papers, BibTeX metadata, duplicate keys, DOI/arXiv/venue sanity, and citation-context support.
  • full: all integrity checks.

Workflow

  1. Identify supplied manuscript, figures/tables/results, bibliography, ccfa.yaml, and requested audit mode.
  2. Build a claim-evidence matrix and mark each claim as supported, partially supported, unsupported, overstated, or unclear.
  3. Cross-check all reported values across text, tables, figures, captions, abstracts, and conclusions.
  4. For citation audit, verify only existing citations unless the user asks for new literature; broad search belongs to ccf-literature-searcher.
  5. For any questionable citation, separate metadata problems from context-support problems.
  6. Hand off to ccf-paper-reviewer for full scientific judgment and to ccf-paper-writer for safe wording edits.
  7. If the numbers and claims are consistent but the figure/table layout, caption placement, palette, float order, or rendered readability is weak, hand off to ccf-visual-composer.

Output Contract

text
Mode:
Artifacts checked:
Claim-evidence matrix:
Numeric consistency findings:
Citation metadata findings:
Citation-context findings:
Severity:
Safe edit suggestions:
Next CCFA owner:
No-invention status:
from this repository

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mikubaka88
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ccf-common

Shared governance for the CCFA family: routing, trigger registry, task modes, handoff modes, source registry, privacy/evidence policy, ccfa.yaml, and artifact contracts. Use only when maintaining or auditing CCFA skills; not for ordinary research tasks.

installs
5
GitHub stars
2 mil
Updated
13 de ago.
mikubaka88
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ccf-experiment-designer

Own experiment evidence semantics: decide datasets, baselines, metrics, ablations, robustness tests, chart evidence, and exactly what rows or columns a result table should contain. Use for experiment design, benchmark planning, supplied-result evidence structure, result-table schema, chart-spec semantics, 设计实验, 对比实验, 消融, 结果表证据结构. Do not search literature as the main deliverable, visually beautify or render an already specified table/figure, improve layout/colors/readability, or invent results.

installs
5
GitHub stars
2 mil
Updated
13 de ago.
mikubaka88
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ccf-humanization

Humanize and de-defend publication-facing CCF/AI prose and artifacts as a sidecar preflight, never as the primary task owner. Use before manuscript drafting/revision and before final manuscript experiment text, tables, captions, or method descriptions when Codex must remove defensive writing, boilerplate disclaimers, repetitive improbable edge cases, unnecessary safeguards, generic SHA-256/checksum requirements, duplicated smoke tests, simplified/toy methods, or AI-like risk narration. Do not auto-load as the sole owner for raw experiment planning, retrieval, review, auditing, routing, visual rendering, or assessment-only tasks without publication prose. Keep necessary concerns in a separate user-review warning instead of silently injecting them into files. Do not conceal material evidence, fabricate results, or override venue-mandated disclosures.

installs
5
GitHub stars
2 mil
Updated
13 de ago.
mikubaka88
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ccf-idea-optimizer

Turn rough CCF research directions into concrete problem, gap, insight, method, novelty, and evidence plans. Use for idea optimization, fuzzy idea concretization, develop a fuzzy idea with no score, research direction shaping, early direction exploration, salvage routes, 优化idea, 具象化idea, 研究思路优化, 找方向, 方向探索. Do not rank or score multiple ideas as the main output.

installs
5
GitHub stars
2 mil
Updated
13 de ago.