Borrowing it
Nothing to install: this file belongs to banshee-data/velocity.report. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/banshee-data/velocity.report/main/.claude/skills/address-pr-comments/SKILL.mdgit clone --depth 1 https://github.com/banshee-data/velocity.reportWrote 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/banshee-data/velocity.report/address-pr-comments)<a href="https://agentmods.dev/skills/banshee-data/velocity.report/address-pr-comments"><img src="https://agentmods.dev/badge/skills/banshee-data/velocity.report/address-pr-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/banshee-data/velocity.report/address-pr-comments"><img src="https://agentmods.dev/badge/skills/banshee-data/velocity.report/address-pr-comments.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00042 | $0.02099 |
| Opus 5.5 | $0.00017 | $0.00840 |
| Sonnet 5.5 | $0.00008 | $0.00420 |
| Haiku 4.5 | $0.00004 | $0.00210 |
Grade A, and why
address-pr-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 1mo 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 — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: address-pr-comments
Walk through every open review comment on a PR, decide which ones are actionable, apply fixes, commit the work split by area, and reply to each thread referencing the commit SHA that resolves it.
Usage
/address-pr-comments
/address-pr-comments 473
/address-pr-comments feature/lidar-l7-scene
If no argument is given, use the current branch and find its open PR.
Procedure
1. Identify the PR
If a PR number is given, use it directly. Otherwise:
git branch --show-current
gh pr view --json number,title,state,headRefName,baseRefName
If no open PR exists, stop and tell the operator.
2. Collect all comments
There are three comment surfaces on a PR and they live in different endpoints. Fetch all of them:
# Inline review comments (attached to code lines)
gh api repos/{owner}/{repo}/pulls/{number}/comments --paginate
# Review summary comments (the top-level body of each review)
gh api repos/{owner}/{repo}/pulls/{number}/reviews --paginate
# Issue-style comments (general PR conversation, not attached to code)
gh api repos/{owner}/{repo}/issues/{number}/comments --paginate
For each comment record keep: id, user.login, path, line, body, in_reply_to_id, pull_request_review_id.
Filter out:
- Your own prior replies (same bot/user that would be posting)
- Threads that already have a reply from the PR author accepting or rejecting the point (look for
in_reply_to_idchains) - Outdated comments (the API marks these with
position: null)
Group remaining comments into threads by in_reply_to_id so each thread is addressed once.
3. Triage each comment
For every live thread, classify it:
| Class | Meaning | Action |
|---|---|---|
| actionable | Clear code change requested, you understand what to do | Fix it |
| disagree | Reviewer is wrong (misreads the diff, contradicts project convention) | Reply only, no code change |
| ambiguous | Valid point but several ways to fix, or you aren't sure what is meant | Ask the operator before proceeding |
| out-of-scope | Valid but belongs in a follow-up PR | Reply acknowledging + link to backlog entry, no code change in this PR |
| nit | Style preference the reviewer flagged as non-blocking | Fix if trivial, else reply and skip |
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.
- 1mo ago First seen · 228 lines · 42 tokens per session scan A 7347e018ac9c
address-pr-comments is a skill published in the GitHub repository banshee-data/velocity.report (11 stars, last pushed today), licensed Apache-2.0. It adds 42 tokens to every session and 2,099 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-25.
address-pr-comments compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| address-pr-commentsbanshee-data/velocity.report | Skill | 11 | today | Apache-2.0 | A | 42 | Claude Code |
| review-implement-phaseprisma/orm | Skill | 48k | yesterday | Apache-2.0 | A | 38 | Claude Code |
| github-pr-workflowpaperclipai/paperclip | Skill | 111k | yesterday | MIT | A | 39 | Claude Code, Codex |
| review-deltatirth8205/code-review-graph | Skill | 33k | 8d ago | MIT | A | 24 | Claude Code |
| hero-diff-highlightUnclecheng-li/AI_Animation | Skill | 1.7k | 11d ago | MIT | A | 0 | Claude Code, Codex |
| lean-reviewSnowflake-Labs/cocoplus | Skill | 727 | 2d ago | MIT | A | 44 | Claude Code |
| git-pr-workflows-git-workflowrmyndharis/antigravity-skills | Skill | 1.9k | 23d ago | MIT | A | 37 | Claude Code |