paparats-mcp: Skill for Claude Code

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

review-pr-comments is a skill for Claude Code from IBazylchuk/paparats-mcp. It costs 57 tokens per session (2,382 once invoked), scanned A, original, MIT.

A user-invoked workflow for reviewing comments on a GitHub pull request, which is a proposed code change awaiting review. It uses the gh command-line tool to inspect feedback, classify it, and handle valid issues.

In plain words
What is it for?
It is for finding a pull request, deciding which comments need changes, fixing valid issues, replying to and resolving threads, and addressing resulting CI failures.
Why use it?
It gathers review feedback from multiple GitHub comment locations so important requests are less likely to be missed.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: mentions CLAUDE.md.

This is IBazylchuk/paparats-mcp's own configuration. It tells Claude Code how to work on paparats-mcp 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 paparats-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to IBazylchuk/paparats-mcp. 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/IBazylchuk/paparats-mcp/main/.claude/skills/review-pr-comments/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/IBazylchuk/paparats-mcp

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 review-pr-comments

README.md
[![agentmods](https://agentmods.dev/badge/skills/ibazylchuk/paparats-mcp/review-pr-comments/github.svg)](https://agentmods.dev/skills/ibazylchuk/paparats-mcp/review-pr-comments)
Your own site
<a href="https://agentmods.dev/skills/ibazylchuk/paparats-mcp/review-pr-comments"><img src="https://agentmods.dev/badge/skills/ibazylchuk/paparats-mcp/review-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 review-pr-comments

Your own site · 80×15
<a href="https://agentmods.dev/skills/ibazylchuk/paparats-mcp/review-pr-comments"><img src="https://agentmods.dev/badge/skills/ibazylchuk/paparats-mcp/review-pr-comments.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,382 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00057 $0.02382
Opus 5 $0.00028 $0.01191
Sonnet 5 $0.00011 $0.00476
Haiku 4.5 $0.00006 $0.00238

Measured 11d ago against content hash 1bf2ef5f4073, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

review-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 11d 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/review-pr-comments/SKILL.md · 256 lines

How it starts

The opening of the file, as written. The whole thing — 256 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/review-pr-comments — evaluate PR feedback and fix valid issues

User-invoked only. $ARGUMENTS is an optional PR number; if empty, auto-detect from the current branch.

All GitHub interaction goes through gh CLI — never the GitHub MCP server. The MCP server is incomplete (missing endpoints for review-thread resolution, partial coverage of comment surfaces).

1. Identify the PR

If $ARGUMENTS has a number, use it.

Otherwise:

BRANCH=$(git branch --show-current)
gh pr list --head "$BRANCH" --json number,title,url --jq '.[0]'

If no open PR for the branch, stop and tell the user.

Capture OWNER, REPO, PR for the rest of the run:

gh repo view --json owner,name --jq '"\(.owner.login) \(.name)"'

2. Fetch comments — THREE separate surfaces

GitHub exposes PR feedback in three places. Missing any one means you'll miss real comments. Always check all three.

2a. Inline review comments (line-anchored)

These are the most common — Gemini/Claude/Copilot bots, human reviewers' line-level comments.

gh api "repos/$OWNER/$REPO/pulls/$PR/comments" --paginate \
  --jq '.[] | {id, path, line, body, user: .user.login, in_reply_to_id, html_url}'

Fields you need: id (REST numeric, used for reply), path, line, body, user.login, in_reply_to_id (non-null = follow-up reply, ignore the duplicates).

2b. Inline review threads (for resolution)

To resolve a thread you need its GraphQL node ID. Fetch in one query and correlate by databaseId ↔ REST id:

gh api graphql -f query='
  query($owner: String!, $repo: String!, $pr: Int!) {
    repository(owner: $owner, name: $repo) {
      pullRequest(number: $pr) {
        reviewThreads(first: 100) {
          nodes {
            id
            isResolved
            isOutdated
            path
            line
            comments(first: 1) { nodes { databaseId author { login } body } }
          }
        }
      }
    }
  }' -F owner="$OWNER" -F repo="$REPO" -F pr="$PR"

Read the full file on GitHub · 256 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. 11d ago First seen · 256 lines · 57 tokens per session scan A 1bf2ef5f4073

Subscribe to this mod's changes

review-pr-comments is a skill published in the GitHub repository IBazylchuk/paparats-mcp (10 stars, last pushed 8d ago), licensed MIT. It adds 57 tokens to every session and 2,382 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 2026-08-31.

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