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 reply-to-pr-threadsgit 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/reply-to-pr-threads)<a href="https://agentmods.dev/skills/tobihagemann/turbo/reply-to-pr-threads"><img src="https://agentmods.dev/badge/skills/tobihagemann/turbo/reply-to-pr-threads/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/reply-to-pr-threads"><img src="https://agentmods.dev/badge/skills/tobihagemann/turbo/reply-to-pr-threads.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
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 →
- high Anti-Refusal · line 47 Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
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 | $0.00071 | $0.00903 |
| Opus 5 | $0.00036 | $0.00451 |
| Sonnet 5 | $0.00014 | $0.00181 |
| Haiku 4.5 | $0.00007 | $0.00090 |
Grade A, and why
reply-to-pr-threads scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reply to PR Threads
Draft replies for a processed review-thread list, confirm with the user, and post the surviving drafts.
Step 1: Re-fetch Thread State
Auto-detect owner, repo, and PR number from the current branch if not provided, then query the current resolution state:
gh api graphql -f query='
query($owner: String!, $repo: String!, $pr: Int!) {
repository(owner: $owner, name: $repo) {
pullRequest(number: $pr) {
reviewThreads(first: 100) {
nodes { id isResolved }
}
}
}
}' -f owner='{owner}' -f repo='{repo}' -F pr={pr_number}
Drop threads whose isResolved is now true. Reviewers or bots such as CodeRabbit may resolve threads after the original fetch, and drafting replies for them is wasted work.
Step 2: Run /github-voice Skill
Run the /github-voice skill to load voice rules and the insider-vs-outsider detection.
Step 3: Draft Replies
Use the processed-thread list from conversation context. Each entry has: thread id, file path, line, category (fix, skip, answer, or clarify), and per-category payload.
Keep every reply to one or two sentences. No bullet-point reasoning. No bolded labels.
fix: payload is a commit SHA, optionally with a divergence note.
Fixed in <commit-sha>.
Only add a brief sentence after the SHA when the fix meaningfully diverges from what the reviewer suggested. Otherwise the SHA alone is enough.
skip: payload is the skip reasoning. State the reasoning directly. Do not apologize.
answer: payload is raw answer text from /answer-reviewer-questions. Tighten to one or two sentences and apply /github-voice rules. Do not cite transcripts or mention Claude. The reply reads as the implementer's own explanation.
clarify: payload is a user-directed question. Draft it as directed.
Step 4: Present Drafts and Confirm
Output all drafts as text, grouped by file:
### <file-path>
**Thread <id>** (<category>, line <line>)
Reviewer: <original comment, truncated if long>
Reply: <drafted reply>
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.
- 13d ago First seen · 103 lines · 71 tokens per session scan A 2746af51ddf1
reply-to-pr-threads is a skill published in the GitHub repository tobihagemann/turbo (402 stars, last pushed 3d ago), licensed MIT. It adds 71 tokens to every session and 903 once invoked, about $0.0004 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
Audit a whole PR against the delivery contract and return MERGE-READY or evidenced blockers with the full URL. Consumes the current review-change REVIEW-PASS receipt instead of re-running review axes; posts a SHA-bound ready comment; never edits or merges. Triggers: "audit-pr", "is this PR ready", "merge gate".
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…
mx-pr
Draft a pull request from the feature spec and git log, run an autonomous commit-history cleanup (content check), then publish to GitHub or GitLab (Bitbucket experimental) — or hand off. Use when a feature branch is ready for PR, standalone or from mx-flow. Usage: /mx-pr [name].
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.