본문으로 건너뛰기
cccskills
무료GitHub에 공개

paper-policy

Resolve, validate, and audit manuscript integrity and applicable requirements for academic manuscripts and paper artifacts. Use when Codex needs to determine active paper rules from manuscript state, paper type, venue, submission stage, or workflow mode; lint a LaTeX paper project; assess submission readiness; create or update a paper policy profile; explain why a rule is active; or validate the paper-policy registries. Do not use as the primary skill for prose drafting, peer review, rebuttal writing, citation discovery, or figure/table creation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

실행 점수 미검증

설치 방법 보기

포함된 파일(72)

  • SKILL.md5.2 KB
  • agents/openai.yaml265 B
  • references/authority-model.md6.3 KB
  • references/compliance-schema.md12.8 KB
  • references/constraint-schema.md3.4 KB
  • references/context-schema.md7.3 KB
  • references/hard-rules.yaml29.2 KB
  • references/paper-context.example.yaml976 B
  • references/profiles.yaml2.4 KB
  • references/rule-maintenance.md4.7 KB
  • scripts/assess_compliance.py16.2 KB
  • scripts/audit_skill_integration.py4.1 KB
  • scripts/check_artifacts.py13.2 KB
  • scripts/discover_artifacts.py10.1 KB
  • scripts/evidence_sources.py3.2 KB
  • scripts/fixtures/artifact-fail/figure-evidence.yaml380 B
  • scripts/fixtures/artifact-fail/figures/main/figure.svg127 B
  • scripts/fixtures/artifact-fail/figures/main/plot.py92 B
  • scripts/fixtures/artifact-pass/figure-evidence.yaml406 B
  • scripts/fixtures/artifact-pass/figures/main/figure.svg198 B
  • scripts/fixtures/artifact-pass/figures/main/plot.py212 B
  • scripts/fixtures/artifact-pass/figures/main/source.csv37 B
  • scripts/fixtures/artifact-pass/table-evidence.yaml379 B
  • scripts/fixtures/artifact-pass/tables/related.tex472 B
  • scripts/fixtures/artifact-table-granularity/evidence.yaml578 B
  • scripts/fixtures/artifact-table-granularity/main.tex417 B
  • scripts/fixtures/context/abstract.yaml217 B
  • scripts/fixtures/context/anti-ai-cleanup.yaml210 B
  • scripts/fixtures/context/conceptual-figure.yaml276 B
  • scripts/fixtures/context/conclusion.yaml267 B
  • scripts/fixtures/context/data-table.yaml214 B
  • scripts/fixtures/context/evidence-architecture.yaml350 B
  • scripts/fixtures/context/final-figure.yaml267 B
  • scripts/fixtures/context/final-table.yaml264 B
  • scripts/fixtures/context/introduction.yaml221 B
  • scripts/fixtures/context/related-work.yaml270 B
  • scripts/fixtures/context/results.yaml288 B
  • scripts/fixtures/context/submission.yaml867 B
  • scripts/fixtures/project-concluding-remarks/main.tex200 B
  • scripts/fixtures/project-fail/main.tex281 B
  • scripts/fixtures/project-fail/references.bib244 B
  • scripts/fixtures/project-main-with-supplement/main.tex177 B
  • scripts/fixtures/project-main-with-supplement/supplementary.tex153 B
  • scripts/fixtures/project-no-conclusion/main.tex121 B
  • scripts/fixtures/project-pass/main.tex351 B
  • scripts/fixtures/project-pass/references.bib122 B
  • scripts/fixtures/project-submission-clean/main.tex722 B
  • scripts/fixtures/project-submission-clean/references.bib122 B
  • scripts/fixtures/project-tex-edge-pass/main.tex748 B
  • scripts/fixtures/registry/invalid-check-field.yaml576 B
  • scripts/fixtures/registry/invalid-hard-force.yaml508 B
  • scripts/fixtures/registry/invalid-profile-reference.yaml196 B
  • scripts/fixtures/registry/valid-hard.yaml515 B
  • scripts/fixtures/registry/valid-profiles.yaml188 B
  • scripts/lint_project.py15.9 KB
  • scripts/policy_vocab.py3.2 KB
  • scripts/project_files.py4.9 KB
  • scripts/resolve_policy.py17.8 KB
  • scripts/run_project_validation.py10.3 KB
  • scripts/test_agent_evidence.py13.1 KB
  • scripts/test_assess_compliance.py11.5 KB
  • scripts/test_audit_skill_integration.py2.7 KB
  • scripts/test_check_artifacts.py17.6 KB
  • scripts/test_discover_artifacts.py2.8 KB
  • scripts/test_lint_project.py10.4 KB
  • scripts/test_project_files.py2.3 KB
  • scripts/test_requirement_scope.py5.7 KB
  • scripts/test_resolve_policy.py13.7 KB
  • scripts/test_run_project_validation.py6.7 KB
  • scripts/test_structure_preferences.py5.0 KB
  • scripts/test_validate_registry.py3.9 KB
  • scripts/validate_registry.py15.7 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Paper Policy

Assess manuscript integrity, evidence and applicable project or venue requirements. Editorial judgment lives in the writing, review and artifact guides. Choose wording, structure and presentation for the task without preference-status records.

Read references/authority-model.md when resolving conflicts. Reliable venue or project requirements can determine format; they cannot authorize fabricated facts or unsupported claims. Keep artifact creation in its owning skill and evidence management in the user-selected workflow.

Choose the Operation

  • Ordinary writing or critique: apply relevant integrity and explicit project constraints through the owning skill. No policy CLI, context file or full readiness assessment is required for a section edit.
  • Applicability or rule conflict: read references/context-schema.md and explain which requirements apply and why.
  • Compliance or submission readiness: read the context and compliance schemas, run relevant deterministic checks and inspect actual evidence.
  • Skill maintenance: use references/rule-maintenance.md and validate changed registries, consumers and references together.

An existing context file or final-stage label does not expand the requested scope. Briefs and working notes support continuity when useful; source snapshots needed for an evidence-backed compliance PASS remain mandatory.

Resolve and Assess

references/hard-rules.yaml contains manuscript requirements. references/profiles.yaml activates conditional requirements from task context. The scripts locate these files relative to the installed skill, with manuscript paths supplied explicitly. Read references/constraint-schema.md for maintenance.

python3 /path/to/skills/paper-policy/scripts/resolve_policy.py /path/to/paper_context.yaml
python3 /path/to/skills/paper-policy/scripts/run_project_validation.py \
  /path/to/paper_context.yaml /path/to/paper --output-dir /path/to/validation-output
python3 /path/to/skills/paper-policy/scripts/assess_compliance.py \
  /path/to/paper_context.yaml --project /path/to/paper \
  --evidence /path/to/compliance-evidence.yaml
  • Inspect scope, warnings and context provenance before interpreting results. Inference cannot activate provenance-sensitive requirements.
  • Use primary_tex and optional additional_tex for multiple document roots; audit their include trees and referenced bibliographies.
  • Generated artifact skeletons and evidence worklists are inspection aids, not evidence. Confirm discovered artifacts against their sources. Unused bibliography keys are maintenance candidates, not permission to delete entries.
  • Check type is deterministic, semantic or manual. Missing admissible evidence leaves a requirement UNVERIFIED. Agent semantic PASS needs artifact, locator, reasoning and current source snapshots. Manual PASS requires human, user or venue evidence. Deterministic FAIL takes precedence over supplied PASS; agents cannot waive requirements. Follow references/compliance-schema.md.
  • For a PDF or excerpt, inspect only what the available material supports and report unavailable checks. An empty TeX project cannot establish readiness.

Output and Mutation

Resolution returns context, active requirements, activation reasons and unverified inputs. It does not assign PASS. Assessment adds evidence-backed statuses and unresolved checks. Report editorial recommendations only when useful to the task; ordinary edits need no policy dump or per-choice explanation.

Assessment is read-only. When manuscript or bibliography fixes are already requested, continue through the owning skill and make scoped, supported changes. Registry validity does not establish scientific correctness or readiness.

Resources

  • references/authority-model.md: authority, waivers and execution boundaries.
  • references/constraint-schema.md: requirement and activation-profile schema.
  • references/context-schema.md: applicability, manuscript selection and provenance.
  • references/compliance-schema.md: evidence, freshness and readiness semantics.
  • references/paper-context.example.yaml: example formal-audit context.
  • scripts/validate_registry.py: structural validation.
  • scripts/audit_skill_integration.py: explicit references and registered rule IDs.
  • scripts/check_artifacts.py: artifact sources, paths, formats and coverage.
  • scripts/discover_artifacts.py: guarded LaTeX artifact inventory.
  • scripts/project_files.py: selected TeX trees and bibliographies.
  • scripts/lint_project.py: definite findings and contextual review hints.
  • scripts/run_project_validation.py: resolution, lint, assessment, discovery, evidence worklist and located unused-key report.

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Create, revise, and validate publication-ready academic paper figures and tables. Use for LaTeX tables, related-work comparison tables, result tables, notation/dataset/taxonomy tables, precise source-data-driven experiment plots from CSV/JSON/logs, generated conceptual figures such as system overviews/pipelines/architectures/threat models, captions, artifact specs, source-data traceability, and paper-ready PDF/SVG/PNG/LaTeX exports. Do not use for prose-only paper writing, self-review, reviewer response, rebuttal drafting, or external literature-management workflows.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

DELONG-L/Academic-Paper-Skills102026년 10월 17일 업데이트

Review an author's manuscript, its argument and paragraph structure, analyze reviewer comments, draft rebuttals, and verify revisions. Use for self-review, structural edit plans, simulated reviewer objections, author responses, revision closure, and submission-readiness assessment. Formal assigned peer review is outside this skill; manuscript edits and final figures/tables use their owning skills.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

DELONG-L/Academic-Paper-Skills102026년 10월 17일 업데이트

Draft and revise evidence-grounded academic manuscripts with adaptable author preferences. Use for section writing, implementing structural edits, claim calibration, citation-integrated prose, prose cleanup, standalone review excerpts, and LaTeX template migration. Use paper-review for critique or author responses, and paper-figures-tables for final visual artifacts.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

DELONG-L/Academic-Paper-Skills102026년 10월 17일 업데이트

DELONG-L의 스킬 모두 보기

이 스킬의 문제 신고