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Agent skill

Piv Fix Review Findings

by coleam00 in coleam00/skills

Triage code-review findings (manual or AI), fix the ones you choose one at a time with tests, defer/log the rest, then validate — and if the work is on a PR, commit and push so the PR reflects the…

MITAuto-check passedDevelopment

Install Piv Fix Review Findings

skills CLI
$ npx skills add coleam00/skills --skill piv-fix-review-findings -a claude-code

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

GitHub CLI
$ gh skill install coleam00/skills piv-fix-review-findings --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/coleam00/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/piv-fix-review-findings .claude/skills/piv-fix-review-findings && 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
piv-fix-review-findings
GitHub stars
676
Token cost
~572 tokens
SKILL.md length
309 words
Files
1
Skills in repo
34
Repo updated
First seen
Licence
MIT

At a glance

Triage code-review findings (manual or AI), fix the ones you choose one at a time with tests, defer/log the rest, then validate — and if the work is on a PR, commit and push so the PR reflects the…

  • Works in 4 steps: Triage first (the human's call) → Fix the "fix now" set — one at a time → Validate → …
  • Tasks that involve Code review
  • SKILL.md covers 1. Triage first (the human's…, 2. Fix the "fix now" set — one…, 3. Validate and 4. If operating on a PR —…, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Piv Fix Review Findings is an agent skill from coleam00/skills. Triage code-review findings (manual or AI), fix the ones you choose one at a time with tests, defer/log the rest, then validate — and if the work is on a PR, commit and push so the PR reflects the fixes. Use after a review has produced a list of issues or a review file.

Its SKILL.md is about 570 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: The agent skills I actually use to build software with coding agents. The PIV loop, planning, worktrees, and the meta-skills for building your own AI Layer. The licence is MIT.

When your agent uses it

  • Tasks that involve Code review

Example prompts

  • “/piv-fix-review-findings”

Workflow steps

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

  1. Triage first (the human's call)
  2. Fix the "fix now" set — one at a time
  3. Validate
  4. If operating on a PR — commit and push

What it can do on your machine

Read from SKILL.md and the folder at commit 847be08. 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

Piv Fix Review Findings loads about 572 tokens when it runs. Until then it costs about 74 tokens; SKILL.md has 309 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~74
When it runs · the whole SKILL.md, loaded when a task matches
~572

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 coleam00/skills at commit 847be08, republished under its MIT licence (© coleam00). 309 words, ~572 tokens.

Download SKILL.mdSave it as .claude/skills/piv-fix-review-findings/SKILL.md (or your agent's skills folder).
name
piv-fix-review-findings
description
Triage code-review findings (manual or AI), fix the ones you choose one at a time with tests, defer/log the rest, then validate — and if the work is on a PR, commit and push so the PR reflects the fixes. Use after a review has produced a list of issues or a review file.
argument-hint
[code-review-file-or-issues] [scope / what to fix now vs defer]
arguments
review, scope

Fix Review Findings

A review produced findings — but a review is input, not a work order. You decide what happens to each one.

Code-review (file or description of issues): $review

Direction / scope (what to fix now vs defer): $scope

If the Code-review is a file, read the entire file first so you understand every finding before triaging.

1. Triage first (the human's call)

Sort the findings before touching code. Honor any direction in the scope argument; if it's unclear, surface the findings grouped and ask rather than fixing everything by default:

  • Fix now (this PR) — real, in-scope, belongs with this change.
  • Defer / log as an issue — real but later; don't bloat this PR. Create a tracker issue (or note it) instead of fixing it here.
  • Needs a human look / manual test — anything you should inspect or test by hand before trusting it. Flag it, don't silently auto-fix.
  • Noise / won't-fix — say why, then drop it.

Don't let the reviewer dictate scope — "real, but later" is a valid and common call; a clean small PR beats a sprawling one.

2. Fix the "fix now" set — one at a time

For each:

  1. Explain what was wrong.
  2. Make the fix.
  3. Create and run a test that proves it.

3. Validate

Run the piv-validate skill to finalize the fixes.

4. If operating on a PR — commit and push

If these fixes are on a PR branch, commit them (use piv-commit) and push so the PR reflects the fixes and the review can re-run on the updated PR. If nothing was fixed (everything deferred), there's nothing to push — just make sure the deferred items are logged as issues.

Output

A short report: what was fixed (with its test), what was deferred/logged (with issue refs), what needs a manual look/test — and, if on a PR, the pushed commit + confirmation the PR is updated.

© coleam00, 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 .claude/skills/piv-fix-review-findings of coleam00/skills.

Open the folder on GitHubat commit 847be08

Compare with similar skills

Piv Fix Review Findings 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.

Piv Fix Review Findings compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Piv Fix Review Findings this skillcoleam00/skills676—~572Automated 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 Piv Fix Review Findings

What does Piv Fix Review Findings do?

Triage code-review findings (manual or AI), fix the ones you choose one at a time with tests, defer/log the rest, then validate — and if the work is on a PR, commit and push so the PR reflects the…. Piv Fix Review Findings is an agent skill from coleam00/skills. Triage code-review findings (manual or AI), fix the ones you choose one at a time with tests, defer/log the rest, then validate — and if the work is on a PR, commit and push so the PR reflects the fixes.

When should I use Piv Fix Review Findings?

Piv Fix Review Findings fits situations like: tasks that involve Code review.

How do I install Piv Fix Review Findings in Claude Code?

Run `npx skills add coleam00/skills --skill piv-fix-review-findings -a claude-code`. Or copy the skill folder (.claude/skills/piv-fix-review-findings in coleam00/skills) into .claude/skills/piv-fix-review-findings in your project. Claude Code loads it when a task matches its description.

How do I install Piv Fix Review Findings in Codex?

Run `npx skills add coleam00/skills --skill piv-fix-review-findings -a codex`. Or copy the skill folder (.claude/skills/piv-fix-review-findings in coleam00/skills) into .agents/skills/piv-fix-review-findings in your project. Codex loads it when a task matches its description.

Can I use Piv Fix Review Findings 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 coleam00/skills --skill piv-fix-review-findings -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/piv-fix-review-findings, .gemini/skills/piv-fix-review-findings, .github/skills/piv-fix-review-findings and .opencode/skills/piv-fix-review-findings in your project.

What does Piv Fix Review Findings need to run?

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

Does Piv Fix Review Findings 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 Piv Fix Review Findings 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 Piv Fix Review Findings use?

Piv Fix Review Findings 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 Piv Fix Review Findings use?

About 572 tokens (SKILL.md is roughly 2.3k 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 Piv Fix Review Findings?

Skills that share tags, products or a category with Piv Fix Review Findings: 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 Piv Fix Review Findings?

coleam00 (a GitHub user) maintains it in coleam00/skills, which has 676 GitHub stars. The repository holds 34 skills in this directory. The repository was last updated on October 7, 2026.

Source: coleam00/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.