reviewer-response
Skill0 starsChanged 5 days agoApache-2.0View on GitHub
Turn reviewer comments into a numbered, evidence-backed response letter with no unanswered or overclaimed point.
6 other projects use a version of this.
Adopted by
Most recently taken up by
- pradyumnasagar/open-research-skillstheir own version, first seen Nov 8, 2026
- Xuzhen-Li/literature-review-skillstheir own version, first seen Oct 15, 2026
- fortmort/jeltztheir own version, first seen Oct 13, 2026
- crfldrxyz/AuthorOps-Skillstheir own version, first seen Sep 1, 2026
- MorrisLu-Taipei/GenAI-Consulting-Methodology-Toolkittheir own version, first seen Jun 21, 2026
- JunMA98/Computer-science-claude-skillstheir own version, first seen Mar 11, 2026
Other versions6 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 6
- MorrisLu-Taipei/GenAI-Consulting-Methodology-Toolkit★ 16same name
- pradyumnasagar/open-research-skills★ 8same name
- fortmort/jeltz★ 4same name
- JunMA98/Computer-science-claude-skills★ 3same name
- Xuzhen-Li/literature-review-skills★ 2same name
- crfldrxyz/AuthorOps-Skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository6 other files it gives its agents.
- citation-auditSkill
- claim-evidence-auditSkill
- data-management-planSkill
- literature-reviewSkill
- manuscript-preflightSkill
- reproducibility-auditSkill
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 4 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 5 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 11
Every reviewer comment gets a number and an answer.
- Distinctive: line 13
Do not promise a revision that was not made.
- Distinctive: line 31
Do not answer two comments with one vague paragraph.
- Distinctive: line 32
Do not cite a paper you did not verify.
“Common” is measured: kept by at least 6 in 10 of the 5 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Reviewer response
Rules
- Every reviewer comment gets a number and an answer; "we disagree" is an answer, silence is not.
- A response that cites a change must say where the change is (section/page/line).
- Do not promise a revision that was not made.
Steps
- Parse the comments with
response_letter(Reviewer/Referee/审稿人 headers, numbered or paragraph mode). - For each point, decide: accept (change), clarify (text), or rebut (evidence).
- For factual rebuttals, run
cite_verify/claim_checkand cite evidence ids. - Re-run
manuscript_checkandstatcheckafter edits. - Export the letter with
response_letter; attach the sealed evidence record.
Output
- Coverage table: comment number, decision, change location, evidence id.
- Missing/too-short/extra responses listed explicitly.
- A cover note that does not overstate the revision.
Never
- Do not answer two comments with one vague paragraph.
- Do not cite a paper you did not verify.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.