velocity.report: Skill for Claude Code

.claude/skills/address-pr-comments/SKILL.md

address-pr-comments is a skill for Claude Code from banshee-data/velocity.report. It costs 42 tokens per session (2,099 once invoked), scanned A, original, Apache-2.0.

A pull request review helper that reads every review comment, applies agreed fixes, and prepares replies. A pull request is a proposed code change awaiting review; it groups discussion and changes in one place.

In plain words
What is it for?
Use it to process inline comments, review summaries, and general discussion on a pull request, then make fixes and create separate commits.
Why use it?
It prevents comments from being missed and keeps fixes organised by area. It also links replies to the commits that address them, while asking before pushing changes.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

This is banshee-data/velocity.report's own configuration. It tells Claude Code how to work on velocity.report itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything velocity.report configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/banshee-data/velocity.report/main/.claude/skills/address-pr-comments/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/banshee-data/velocity.report

Made for: Claude Code.

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 address-pr-comments

README.md
[![agentmods](https://agentmods.dev/badge/skills/banshee-data/velocity.report/address-pr-comments/github.svg)](https://agentmods.dev/skills/banshee-data/velocity.report/address-pr-comments)
Your own site
<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.

agentmods 80×15 button for address-pr-comments

Your own site · 80×15
<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>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,099 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 $0.00042 $0.02099
Opus 5.5 $0.00017 $0.00840
Sonnet 5.5 $0.00008 $0.00420
Haiku 4.5 $0.00004 $0.00210

Measured 1mo ago against content hash 7347e018ac9c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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.

.claude/skills/address-pr-comments/SKILL.md · 228 lines

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_id chains)
  • 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

Read the full file on GitHub · 228 lines

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. 1mo ago First seen · 228 lines · 42 tokens per session scan A 7347e018ac9c

Subscribe to this mod's changes

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.

Related

address-pr-comments compared with skills from other repositories

address-pr-comments next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
address-pr-commentsbanshee-data/velocity.reportSkill11todayApache-2.0A42Claude Code
review-implement-phaseprisma/ormSkill48kyesterdayApache-2.0A38Claude Code
github-pr-workflowpaperclipai/paperclipSkill111kyesterdayMITA39Claude Code, Codex
review-deltatirth8205/code-review-graphSkill33k8d agoMITA24Claude Code
hero-diff-highlightUnclecheng-li/AI_AnimationSkill1.7k11d agoMITA0Claude Code, Codex
lean-reviewSnowflake-Labs/cocoplusSkill7272d agoMITA44Claude Code
git-pr-workflows-git-workflowrmyndharis/antigravity-skillsSkill1.9k23d agoMITA37Claude Code