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 tobihagemann/turbo --skill resolve-pr-commentsgit clone --depth 1 https://github.com/tobihagemann/turboWrote 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/tobihagemann/turbo/resolve-pr-comments)<a href="https://agentmods.dev/skills/tobihagemann/turbo/resolve-pr-comments"><img src="https://agentmods.dev/badge/skills/tobihagemann/turbo/resolve-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/tobihagemann/turbo/resolve-pr-comments"><img src="https://agentmods.dev/badge/skills/tobihagemann/turbo/resolve-pr-comments.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 12 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00095 | $0.03159 |
| Opus 5 | $0.00048 | $0.01580 |
| Sonnet 5 | $0.00019 | $0.00632 |
| Haiku 4.5 | $0.00010 | $0.00316 |
Grade A, and why
resolve-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 3d 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 — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Resolve PR Review Comments
Fetch unresolved review comments from a GitHub PR (inline threads, review-body observations, and issue-comment observations from the PR conversation), evaluate each one, fix or skip based on confidence, answer reviewer questions using recalled implementation reasoning, and reply. Inline threads are answered with thread replies; issue-comment findings are answered with new PR conversation comments. Review-body findings flow through the same evaluate-and-fix pipeline; their outcomes land in the summary because a review body has no destination to post to.
Task Tracking
At the start, use TaskCreate to create a task for each step:
- Fetch comments
- Triage already-addressed feedback
- Run
/interpret-feedbackskill - Split questions and change requests
- Run
/evaluate-findingsskill - Resolve ambiguities
- Run
/resolve-findingsskill - Verify fixes
- Run
/answer-reviewer-questionsskill - Run
/reply-to-pr-threadsskill - Run
/reply-to-pr-conversationskill - Summary
Step 1: Fetch Comments
Auto-detect owner, repo, and PR number from current branch if not provided. Then run scripts/fetch-pr-data.sh, which handles full pagination (reviews, review threads, inner comment pages for long threads, issue comments, commits) and emits a single merged JSON document:
bash <skill-dir>/scripts/fetch-pr-data.sh <owner> <repo> <pr_number>
Output shape:
{
"meta": { "title", "url", "headRefName", "baseRefName", "body" },
"reviewThreads": [ { "id", "isResolved", "isOutdated", "comments": { "nodes": [ { "author", "body", "path", "line", "originalLine", "diffHunk" } ] } } ],
"reviews": [ { "author", "body", "state", "submittedAt" } ],
"issueComments": [ { "author", "body", "createdAt", "url" } ],
"commits": [ { "commit": { "oid", "abbreviatedOid", "message", "committedDate" } } ]
}
Filter review threads to unresolved only. Filter reviews to those with a non-empty body, excluding PENDING state (unsubmitted drafts). Filter issue comments to those with a non-empty body.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 3d ago Changed · +2 lines cec037f71f28
- 7d ago Changed · +3 lines 5d9b48fbb752
- 10d ago First seen · 194 lines · 95 tokens per session scan A 3d591cea17c2
resolve-pr-comments is a skill published in the GitHub repository tobihagemann/turbo (402 stars, last pushed yesterday), licensed MIT. It adds 95 tokens to every session and 3,159 once invoked, about $0.0005 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 2026-08-30.
Other skills, from other repositories
audit-pr
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agentic-review
Deep multi-agent code review for local changes. Inspired by AmpCode's agentic review. Use when you want comprehensive analysis of staged changes, unstaged changes, specific commits, or branch differences. Spawns parallel specialized agents (security, performance, patterns, architecture) and synthesizes actionable…
qa
Full QA on all session changes using Codex as a second pair of eyes. Use when user says "QA", "full QA", "QA my changes", "QA all your changes", or "use codex to review". Runs git diff, sends changes to Codex for thorough review, and synthesizes findings.
iterate
Diverge-converge workflow: spin up N agents on isolated worktrees, each exploring a different approach to the same problem. Compare results side-by-side (with optional preview ports), pick a winner, merge it back. Use when the user says /iterate, 'try multiple approaches', 'explore different directions', or wants to…
neo-pr
Use this skill when the user asks to create, draft, review, format, or generate a Pull Request (PR) title and description, specify target or source branches for a repository, or convert git branch diffs into concise, high-impact, non-AI-slop PR content.
request-pr-review
A workflow for finding your open GitHub pull requests and asking the right people to review them. A pull request is a proposed code change waiting for teammates to check before it is merged.