Agent skill

Review Revision

by M1n-n9 in M1n-n9/paper-lifecycle

Review and revise academic papers with a senior-reviewer workflow.

No licenceAuto-check passedDocuments & Office

Install Review Revision

skills CLI
$ npx skills add M1n-n9/paper-lifecycle --skill review-revision -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install M1n-n9/paper-lifecycle review-revision --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/M1n-n9/paper-lifecycle.git skills-src && mkdir -p .claude/skills && cp -r skills-src/review-revision .claude/skills/review-revision && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
review-revision
GitHub stars
693
Token cost
~2.3k tokens
SKILL.md length
1,120 words
Files
3 (incl. references)
Skills in repo
2
Repo updated
First seen
Licence
None found

At a glance

Review and revise academic papers with a senior-reviewer workflow.

  • Works in 7 steps: Intake the Artifact → Build the Paper Map → Diagnose the Lifecycle → …
  • An AI research/coding agent needs to work on an existing paper draft
  • SKILL.md covers Overview, Operating Modes, Core Workflow and Output Style
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Review Revision is an agent skill from M1n-n9/paper-lifecycle. Review and revise academic papers with a senior-reviewer workflow. Use when an AI research/coding agent needs to work on an existing paper draft, PDF, LaTeX project, Word document, markdown manuscript, rejected paper, or paper idea that already has a concrete direction, and produce: paper maps, weakness audits, insight/novelty checks, reviewer objections, claim-experiment matrices, theory/proof checks, experiment plans, statistics/reproducibility audits, figure/table audits, ethics/compliance checks, revision…

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `agents/openai.yaml` and `references/review_revision_skill.md`).

It sits in Documents & Office, covering Reproducible research, Word documents and LaTeX. It works with LaTeX and Microsoft Word. The repository describes itself as: Codex skill for full academic paper lifecycle analysis and revision.

When your agent uses it

  • An AI research/coding agent needs to work on an existing paper draft
  • Markdown manuscript
  • Paper idea that already has a concrete direction
  • Produce: paper maps

Example prompts

  • “/review-revision”

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Intake the Artifact
  2. Build the Paper Map
  3. Diagnose the Lifecycle
  4. Think Like a Reviewer
  5. Plan Revisions by Priority
  6. Make Detailed Edits
  7. Final Checklist

What it can do on your machine

Read from SKILL.md and the folder at commit da8a231. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Review Revision loads about 2.3k tokens when it runs, and up to ~8.9k if it reads all its reference files. Until then it costs about 148 tokens; SKILL.md has 1,120 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~148
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~8.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 1,120 words (~2,290 tokens).

“Use this skill as a review-and-revision workflow for an existing manuscript, rejected paper, review package, or idea with a concrete direction. Treat the paper as a research system: problem, insight, novelty, idea, method, experiments, writing, and final readiness. The goal…”

— opening of SKILL.md by M1n-n9
name
review-revision

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files (references) in review-revision of M1n-n9/paper-lifecycle.

  • SKILL.md
  • agents/openai.yaml
  • references/review_revision_skill.md

Open the folder on GitHubat commit da8a231

Compare with similar skills

Review Revision next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Review Revision compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Review Revision this skillM1n-n9/paper-lifecycle693—~2.3kAutomated safety check: PassNone
PDFzai-org/ZCode7.7k—~18kAutomated safety check: NotesProprietary
Latex To Word Workflowhajimi-kun/latex-to-word-workflow128—~2.3kAutomated safety check: PassMIT
Article Format Adjustmentaipoch/medical-research-skills1.9k—~2.4kAutomated safety check: PassMIT
Paper2patent7toCR/paper2patent654—~2.5kAutomated safety check: PassMIT
AI Review SkillNeuroDong/Ai-Review628—~2.5kAutomated safety check: PassMIT

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Questions about Review Revision

What does Review Revision do?

Review and revise academic papers with a senior-reviewer workflow. Review Revision is an agent skill from M1n-n9/paper-lifecycle. Review and revise academic papers with a senior-reviewer workflow.

When should I use Review Revision?

Review Revision fits situations like: an AI research/coding agent needs to work on an existing paper draft; markdown manuscript; paper idea that already has a concrete direction; produce: paper maps.

How do I install Review Revision in Claude Code?

Run `npx skills add M1n-n9/paper-lifecycle --skill review-revision -a claude-code`. Or copy the skill folder (review-revision in M1n-n9/paper-lifecycle) into .claude/skills/review-revision in your project. Claude Code loads it when a task matches its description.

How do I install Review Revision in Codex?

Run `npx skills add M1n-n9/paper-lifecycle --skill review-revision -a codex`. Or copy the skill folder (review-revision in M1n-n9/paper-lifecycle) into .agents/skills/review-revision in your project. Codex loads it when a task matches its description.

Can I use Review Revision in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add M1n-n9/paper-lifecycle --skill review-revision -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/review-revision, .gemini/skills/review-revision, .github/skills/review-revision and .opencode/skills/review-revision in your project.

What does Review Revision need to run?

SKILL.md names no scripts, command-line tools or credentials: Review Revision is instructions for the agent only.

Does Review Revision access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Review Revision safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Review Revision use?

No licence was found for Review Revision or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Review Revision use?

About 2.3k tokens (SKILL.md is roughly 9.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 6.6k tokens, read only when the agent opens those files.

What are the alternatives to Review Revision?

Skills that share tags, products or a category with Review Revision: PDF (zai-org/ZCode, 7.7k stars), Latex To Word Workflow (hajimi-kun/latex-to-word-workflow, 128 stars), Article Format Adjustment (aipoch/medical-research-skills, 1.9k stars) and Paper2patent (7toCR/paper2patent, 654 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Review Revision?

M1n-n9 (a GitHub user) maintains it in M1n-n9/paper-lifecycle, which has 693 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on June 16, 2026.

Source: M1n-n9/paper-lifecycle on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.