academic-citation
Search, verify, and map citations for CS/AI/ML papers. Produces VERIFIED/UNVERIFIED reference lists with Citation-to-Claim maps…
Self-review, audit, or verify CS/AI/ML paper drafts as a critical peer reviewer. Three-round review (evidence→argument→style) with Verification Status and debt tracking. Use when: reviewing a paper draft before submission, checking evidence compliance of claims, simulating peer
$ npx -y skills add joshua-zyy/academic-paper-writer --skill academic-reviser --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/academic-reviserContext preview
The summary Claude sees to decide when to auto-load this skill.
Self-review, audit, or verify CS/AI/ML paper drafts as a critical peer reviewer. Three-round review (evidence→argument→style) with Verification Status and debt tracking. Use when: reviewing a paper draft before submission, checking evidence compliance of claims, simulating peer
name: academic-reviser description: "Self-review, audit, or verify CS/AI/ML paper drafts as a critical peer reviewer. Three-round review (evidence→argument→style) with Verification Status and debt tracking. Use when: reviewing a paper draft before submission, checking evidence compliance of claims, simulating peer reviewer feedback, verifying citation closure and evidence debts, performing cross-section consistency checks. Triggers on: self review, 自查, verification, 审稿, evidence compliance, peer review, 论文审查, draft audit, 验证论文, 检查引用, cross-section review, 审修, draft verification."
将此 skill 视为"挑剔审稿人代理"——像 peer reviewer 一样审查草稿,按证据→论证→风格三轮顺序执行。
1. Read `manifest.yaml`. It declares `always_load` files, `axes`, and `references.on_demand`. 2. Read every file listed under `always_load`. These are the skill's binding rules — not reference material. 3. Apply the loaded material as constraints:
4. Detect the mode using the manifest's `mode` axis. When input materials are incomplete, declare a Bounded Assessment before proceeding. 5. Echo the selected mode to the user before executing. 6. Reach for `references/` only when the manifest's `references.on_demand` condition is satisfied.
Debt types tracked: `prose_debt`, `section_contract_debt`, `citation_debt`, `evidence_debt`, `figure_debt`, `protocol_debt`, `result_debt`, `rationale_debt`. Schema: `skills/shared/schemas/verification-report.md`.
| Mode | Use when | |---|---| | `full-section-review` | Complete 3-round review + Verification for a single section | | `cross-section-review` | Cross-section consistency check | | `verification-only` | Verdict only, no re-review | | `targeted-review` | Specific issue (e.g. citation closure only) | | `targeted-evidence-mode` | Evidence compliance only (orchestrator Step 9.5) | | `mock-reviewer-package` | Optional pre-submission 3-reviewer package |
`agents/reviser_agent.md` dispatched by orchestrator at Step 9.5 or Step 9.8. Subagent returns structured review content; must not modify project files or invent reviewer identities, experiments, citations, or unprovided evidence.
| Input | Mode | Priority | Behavior | |---|---|---|---| | Section draft | full-section-review | 2 (path trigger) | Full 3-round review | | Multiple sections | cross-section-review | 2 (path trigger) | Consistency only | | "只用 verdict" | verification-only | 1 (explicit) | Verdict only | | Specific issue | targeted-review | 1 (explicit) | Targeted check | | Evidence focus | targeted-evidence-mode | 1 (explicit) | Evidence compliance | | "审稿包" / pre-submission | mock-reviewer-package | 1 (explicit) | Optional reviewer package |
| Scenario | Recommended | |---|---| | Just reviewing a draft | This skill (standalone) | | During paper drafting | academic-paper-writer orchestrator | | After polishing pass | academic-polishing → this skill |
Search, verify, and map citations for CS/AI/ML papers. Produces VERIFIED/UNVERIFIED reference lists with Citation-to-Claim maps…
Audit, run, or verify experimental evidence for CS/AI/ML papers. Produces Evidence Inventory with evidence_type annotations…
Create, revise, or audit academic data/result figures for CS/AI/ML papers. Data/result plots default to Python-generated editable…
Use when working on academic paper LaTeX layout, figure/table float placement, draft-to-template LaTeX generation, existing .tex…
Use when writing or revising CS/AI/ML papers from research notes, code repositories, local literature libraries, target venue…
Polish academic prose, de-AI-ify text, control claim strength, or rewrite method sections for CS/AI/ML papers. Executes Prose…