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.
curl -O https://raw.githubusercontent.com/IBazylchuk/paparats-mcp/main/.claude/skills/review-pr-comments/SKILL.mdgit clone --depth 1 https://github.com/IBazylchuk/paparats-mcpWrote 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/ibazylchuk/paparats-mcp/review-pr-comments)<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.
<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>- 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 | $0.00057 | $0.02382 |
| Opus 5 | $0.00028 | $0.01191 |
| Sonnet 5 | $0.00011 | $0.00476 |
| Haiku 4.5 | $0.00006 | $0.00238 |
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.
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"
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.
- 11d ago First seen · 256 lines · 57 tokens per session scan A 1bf2ef5f4073
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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