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.
npx skills add ulises-jeremias/agent-toolkit --skill gh-address-commentsgit clone --depth 1 https://github.com/ulises-jeremias/agent-toolkitWrote 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.
[](https://agentmods.dev/skills/ulises-jeremias/agent-toolkit/gh-address-comments)<a href="https://agentmods.dev/skills/ulises-jeremias/agent-toolkit/gh-address-comments"><img src="https://agentmods.dev/badge/skills/ulises-jeremias/agent-toolkit/gh-address-comments/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ulises-jeremias/agent-toolkit/gh-address-comments"><img src="https://agentmods.dev/badge/skills/ulises-jeremias/agent-toolkit/gh-address-comments.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00051 | $0.00769 |
| Opus 5 | $0.00026 | $0.00385 |
| Sonnet 5 | $0.00010 | $0.00154 |
| Haiku 4.5 | $0.00005 | $0.00077 |
Grade A, and why
gh-address-comments 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 5d ago.
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.
How it starts
The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Address GitHub PR Comments
Find the open PR for the current branch and walk through its review/conversation
comments using gh. Pair with github-cli-workflow
when you also need to push changes or update the PR description.
When to use
- The current branch has an open PR and reviewers left comments.
- The user asks to "address comments", "resolve review threads", or "respond to PR feedback".
- You need a summarized view of inline comments + reviews + conversation threads in one call.
Prerequisites
gh(GitHub CLI) installed and onPATH(covered bybootstrap).gh auth statusexits 0. If not, ask the user to rungh auth loginonce (workflow + repo scopes recommended).python3(used by the bundled inspection script).
doctor already reports gh auth status under "Integrations" — confirm it
is green before invoking this skill.
Workflow
-
Verify auth. Run
gh auth status. If it fails, stop and ask the user to re-authenticate. -
Resolve the PR. Use
gh pr view --json number,url,titleto confirm a PR is associated with the current branch. If none, surface that and stop. -
Fetch all threads in one pass. Run the bundled script:
python3 ~/.local/share/agent-toolkit/skills/gh-address-comments/scripts/fetch_comments.py \ > /tmp/pr-comments.jsonThe script paginates conversation comments, review submissions, and inline review threads (including resolved/outdated state) via
gh api graphql. -
Summarize for the user. Number every thread/comment and provide a one-line intent for each (e.g.
[3] tests/foo.test.ts:12 — reviewer asks for a null check). -
Ask which to address. Wait for the user to pick numbers before changing code.
-
Apply fixes. For each accepted comment, edit the relevant file and stage the change. Do not push or merge from this skill — delegate to
github-cli-workflow. -
Optional: reply or resolve. Once the user confirms, you can post replies with
gh pr comment <pr> --body "..."or resolve threads via the GraphQLresolveReviewThreadmutation when explicitly requested.
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.
- 5d ago First seen · 73 lines · 51 tokens per session scan A 83ac0e2e372d
gh-address-comments is a skill published in the GitHub repository ulises-jeremias/agent-toolkit (16 stars, last pushed today), licensed MIT. It adds 51 tokens to every session and 769 once invoked, about $0.0003 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 2026-09-04.
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branch-pr
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work-unit-commits
Plan commits as reviewable work units. Trigger: implementation, commit splitting, chained PRs, or keeping tests and docs with code.
resolve-pr-comments
This skill should be used when user asks to "address PR comments", "resolve PR feedback", "handle review comments", "fix PR issues", "respond to PR review", or explicitly invokes "resolve-pr-comments".
agentbro-pr-merge
Use when reviewing, fixing CI for, approving workflows for, or merging AgentBro pull requests into dev/main, especially external contributor PRs where contributor attribution matters.