copilot-address-reviews

copilot-address-reviews is a skill for Claude Code from lestrrat-ai/claude-code-plugins. It costs 83 tokens per session (2,020 once invoked), scanned A, original, MIT.

A workflow for checking and resolving GitHub Copilot review comments on a pull request.

In plain words
What is it for?
Use it to fetch review items, verify them against the source and tests, fix confirmed issues, and summarize the results.
Why use it?
It helps distinguish valid review findings from incorrect or subjective suggestions before changing code.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the gauntlet plugin — 6 skills shipped together

Good fit Use it to fetch review items, verify them against the source and…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lestrrat-ai/claude-code-plugins/copilot-address-reviews
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add lestrrat-ai/claude-code-plugins --skill copilot-address-reviews
Clone the repo
git clone --depth 1 https://github.com/lestrrat-ai/claude-code-plugins

Made for: Claude Code.

Or install gauntlet, the plugin that ships this one along with the rest of its 6 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for copilot-address-reviews

README.md
[![agentmods](https://agentmods.dev/badge/skills/lestrrat-ai/claude-code-plugins/copilot-address-reviews.svg)](https://agentmods.dev/skills/lestrrat-ai/claude-code-plugins/copilot-address-reviews)
Your own site
<a href="https://agentmods.dev/skills/lestrrat-ai/claude-code-plugins/copilot-address-reviews"><img src="https://agentmods.dev/badge/skills/lestrrat-ai/claude-code-plugins/copilot-address-reviews.svg" alt="Measured on agentmods" height="20"></a>
Per session 83 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,020 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00083 $0.02020
Opus 5 $0.00042 $0.01010
Sonnet 5 $0.00017 $0.00404
Haiku 4.5 $0.00008 $0.00202

Measured 6d ago against content hash d14e9e44b8ce, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

copilot-address-reviews scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/dedup_review_items.py, scripts/fetch-review-items.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/gauntlet/skills/copilot-address-reviews/SKILL.md · 185 lines

How it starts

The opening of the file, as written. The whole thing — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Copilot Address Reviews

Given a GitHub PR link, process Copilot review items one at a time. NEVER assume review is correct. NEVER change code only to satisfy review text.

Inputs

  • PR URL
  • Local checkout for PR branch, or clear path to fetch/switch to it
  • User confirmation for subjective, design, or constraint-driven items

Workflow

  1. Resolve bundled scripts relative to the directory containing this SKILL.md, not the current working directory. Resolve the shared typed runtime owner at ../campaign/references/runtime-adapter.md from that same skill directory. NEVER cd to the skill directory — the fetcher's relative scratch default would land output there.

  2. At workflow entry, call the runtime owner's resolve_repository_context(checkout) exactly once with the supplied local checkout. Then call run_argv with these distinct fields (the script creates the scratch directory if missing):

    run_argv(
      argv: ["bash", fetch_review_items_script, "--tmp-dir", repository.scratch_root, pr_url],
      cwd: repository.project_root, stdin_file: null, stdout_file: null
    )
    

    fetch_review_items_script is the absolute path resolved in step 1. Invoke bundled scripts through their interpreter — bash for .sh, python3 for .py — NEVER bare: a bare invocation depends on the executable bit and the shebang surviving every checkout, archive, and install path.

  3. Read path_join(repository.scratch_root, "copilot-review-items.json") through read_bytes as the primary worklist of unresolved items only.

  4. Inspect the sibling paths under repository.scratch_root named copilot-review-items.raw.json, gh-pr-view.json, and gh-pr-review-threads.json through read_bytes when dedup or extraction needs verification. Never resolve these from cwd.

  5. Select next unhandled unresolved item from worklist. NEVER work resolved items.

  6. For current item, choose exactly one outcome before moving on:

    • valid → fix
    • invalid → no code change
    • subjective/constraint-driven/ambiguous → ask user
    • deferred/won't fix → ask user, then no code change
    • already fixed on branch → no code change
  7. After each valid item:

    • make smallest code change that addresses verified issue
    • run focused tests first
    • add/update tests when they materially prove claim or prevent regression
    • run broader relevant tests when change touches shared behavior
    • commit only files for that item
    • after commit, resolve corresponding GitHub review thread/comment if it is still unresolved
  8. After each invalid, deferred, won't-fix, or already-fixed item:

    • record why no code change is needed
    • if current source/tests do not already make decision obvious, add concise code comment near relevant logic so future reviewers can see reasoning or constraint
    • if outcome is deferred or won't fix and user confirmed that outcome, resolve corresponding GitHub review thread/comment if it is still unresolved
    • do not make speculative edits
  9. Mark current item handled, then look up whether more unhandled items remain.

  10. If more items remain, return to step 5. Continue until worklist is empty.

  11. After all items, report every item, decision, evidence, and commit hash when applicable.

Read the full file on GitHub · 185 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 185 lines · 83 tokens per session scan A d14e9e44b8ce

Subscribe to this mod's changes

copilot-address-reviews is a skill published in the GitHub repository lestrrat-ai/claude-code-plugins (18 stars, last pushed today), licensed MIT. It adds 83 tokens to every session and 2,020 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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