Agent skill

Responding To Review

by damianvtran in damianvtran/local-operator

Answering review findings: verify each claim before implementing, no performative agreement, per-item fix/reject/defer with evidence, one batched remediation round.

MITAuto-check passedDevelopment

Install Responding To Review

skills CLI
$ npx skills add damianvtran/local-operator --skill responding-to-review -a claude-code

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

GitHub CLI
$ gh skill install damianvtran/local-operator responding-to-review --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/damianvtran/local-operator.git skills-src && mkdir -p .claude/skills && cp -r skills-src/local_operator/skills/builtin/responding-to-review .claude/skills/responding-to-review && 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
responding-to-review
GitHub stars
217
Token cost
~616 tokens
SKILL.md length
355 words
Files
1
Repo updated
First seen
Licence
MIT

At a glance

Answering review findings: verify each claim before implementing, no performative agreement, per-item fix/reject/defer with evidence, one batched remediation round.

  • Works in 3 steps: Verify the claim. Reproduce it, or read… → Decide: fix, reject, or defer. → Answer with the decision and its…
  • Responding to review
  • SKILL.md covers Per finding, in order, Clarify all first, One batched round and The reply format, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Responding To Review is an agent skill from damianvtran/local-operator. Answering review findings: verify each claim before implementing, no performative agreement, per-item fix/reject/defer with evidence, one batched remediation round. Use when responding to review or remediation rounds.

Its SKILL.md is about 620 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Code review. The repository describes itself as: An open-source AI agent hub for your own machine: build organizations of collaborating agents that message each other, run in the background around the clock, and share your… The licence is MIT.

When your agent uses it

  • Responding to review
  • Remediation rounds

Example prompts

  • “/responding-to-review”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Verify the claim. Reproduce it, or read the code path it names. A finding can be wrong, and implementing a wrong fix adds a bug. If the…
  2. Decide: fix, reject, or defer.
  3. Answer with the decision and its support. No performative agreement ("Great catch!"). Say what happens to the finding; agreement without…

What it can do on your machine

Read from SKILL.md and the folder at commit 05e4c97. 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

Responding To Review loads about 616 tokens when it runs. Until then it costs about 60 tokens; SKILL.md has 355 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~60
When it runs · the whole SKILL.md, loaded when a task matches
~616

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

The full file from damianvtran/local-operator at commit 05e4c97, republished under its MIT licence (© damianvtran). 355 words, ~616 tokens.

Download SKILL.mdSave it as .claude/skills/responding-to-review/SKILL.md (or your agent's skills folder).
name
responding-to-review
description
Answering review findings: verify each claim before implementing, no performative agreement, per-item fix/reject/defer with evidence, one batched remediation round. Use when responding to review or remediation rounds.

Responding to review

Review feedback is input, not instruction. Verify before implementing; answer per item; ship one batched round.

Per finding, in order

  1. Verify the claim. Reproduce it, or read the code path it names. A finding can be wrong, and implementing a wrong fix adds a bug. If the finding is about evidence (a run, a frame, a number), the fix is to regenerate the evidence, not to edit the sentence.
  2. Decide: fix, reject, or defer.
  3. Answer with the decision and its support. No performative agreement ("Great catch!"). Say what happens to the finding; agreement without verification commits you to work you have not assessed.

Clarify all first

  • Read the whole round before editing. If an item is genuinely unclear (you cannot state the change it asks for), ask once, for all unclear items together, before the remediation edits. One batch of questions beats three round trips.

One batched round

  • Collect all accepted fixes into ONE remediation pass. Do not commit-and-reply per finding.
  • Group by stream where the project does (code, tests, docs); keep it one round.
  • Where several reviewers ran, answer each report's items in one combined response pass.
Show full SKILL.md (161 more words)Show less

The reply format

For each item, in the thread where the round was posted:

  • fixed: <what changed> (<commit SHA>)
  • rejected: <why, with the check that shows it>
  • deferred: <where it is recorded and why it cannot be now>

Never mark fixed without the commit; never leave an item unanswered. "Not addressed" with no reason is a rejection nobody can audit.

When you disagree

  • Say so with the evidence: the test output, the code path, the spec line. Silence is the worst option; fix nothing, say nothing, and the item stays open forever.
  • Once the round resolves, let it go. Re-litigating a settled item in the next round burns a round for everyone.

Red flags

  • Implementing every finding unverified because "the reviewer is usually right".
  • Arguing from preference with no check either way.
  • Marking items fixed in a summary while the code is unchanged.
  • One comment per finding instead of one batched response.
  • A "fixed" whose commit does not contain the fix.

© damianvtran, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in local_operator/skills/builtin/responding-to-review of damianvtran/local-operator.

Open the folder on GitHubat commit 05e4c97

Compare with similar skills

Responding To Review 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.

Responding To Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Responding To Review this skilldamianvtran/local-operator217—~616Automated safety check: PassMIT
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Code Review ChecklistshareAI-lab/learn-claude-code78k4 repos~1.1kAutomated safety check: PassMIT
Backend Code Reviewlangflow-ai/langflow155k—~3.5kAutomated safety check: NotesMIT
Mole Bug Patternstw93/Mole70k—~2kAutomated safety check: PassGPL-3.0
Backend Code Reviewlanggenius/dify158k—~676Automated safety check: PassCustom licence

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Categories

Questions about Responding To Review

What does Responding To Review do?

Answering review findings: verify each claim before implementing, no performative agreement, per-item fix/reject/defer with evidence, one batched remediation round. Responding To Review is an agent skill from damianvtran/local-operator. Answering review findings: verify each claim before implementing, no performative agreement, per-item fix/reject/defer with evidence, one batched remediation round.

When should I use Responding To Review?

Responding To Review fits situations like: responding to review; remediation rounds.

How do I install Responding To Review in Claude Code?

Run `npx skills add damianvtran/local-operator --skill responding-to-review -a claude-code`. Or copy the skill folder (local_operator/skills/builtin/responding-to-review in damianvtran/local-operator) into .claude/skills/responding-to-review in your project. Claude Code loads it when a task matches its description.

How do I install Responding To Review in Codex?

Run `npx skills add damianvtran/local-operator --skill responding-to-review -a codex`. Or copy the skill folder (local_operator/skills/builtin/responding-to-review in damianvtran/local-operator) into .agents/skills/responding-to-review in your project. Codex loads it when a task matches its description.

Can I use Responding To Review 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 damianvtran/local-operator --skill responding-to-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/responding-to-review, .gemini/skills/responding-to-review, .github/skills/responding-to-review and .opencode/skills/responding-to-review in your project.

What does Responding To Review need to run?

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

Does Responding To Review 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 Responding To Review 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 Responding To Review use?

Responding To Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Responding To Review use?

About 616 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Responding To Review?

Skills that share tags, products or a category with Responding To Review: PR Babysitter (openinterpreter/openinterpreter, 69k stars), Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), Backend Code Review (langflow-ai/langflow, 155k stars) and Mole Bug Patterns (tw93/Mole, 70k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Responding To Review?

damianvtran (a GitHub user) maintains it in damianvtran/local-operator, which has 217 GitHub stars. The repository was last updated on October 11, 2026.

Source: damianvtran/local-operator on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.