reply-to-pr-threads

reply-to-pr-threads is a skill for Claude Code, Codex from tobihagemann/turbo. It costs 97 tokens per session (1,534 once invoked), scanned A, original, MIT.

A workflow for drafting and posting replies to GitHub pull-request review threads, which are conversations attached to proposed code changes. It checks whether threads were already resolved, formats replies by category, and posts them after confirmation.

In plain words
What is it for?
Use it when responding to GitHub review comments, whether fixing an issue, answering a question, skipping a suggestion, or asking for clarification.
Why use it?
It avoids replying to discussions that have already been closed and keeps responses consistent with the review issue being addressed.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: names the AskUserQuestion tool.

Good fit Use it when responding to GitHub review comments, whether fixing an issue, answering a question, skipping a suggestion, or asking for clarification.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tobihagemann/turbo/reply-to-pr-threads
Install

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.

Any agent
npx skills add tobihagemann/turbo --skill reply-to-pr-threads
Clone the repo
git clone --depth 1 https://github.com/tobihagemann/turbo

Made for: Claude Code, Codex.

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 reply-to-pr-threads

README.md
[![agentmods](https://agentmods.dev/badge/skills/tobihagemann/turbo/reply-to-pr-threads/github.svg)](https://agentmods.dev/skills/tobihagemann/turbo/reply-to-pr-threads)
Your own site
<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.

agentmods 80×15 button for reply-to-pr-threads

Your own site · 80×15
<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>
Per session 97 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,534 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 warn 7 Sept 2026
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.
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 $0.00097 $0.01534
Opus 5.5 $0.00039 $0.00614
Sonnet 5.5 $0.00019 $0.00307
Haiku 4.5 $0.00010 $0.00153

Measured 7d ago against content hash dbbdcf8cd5a3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 7d 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/reply-to-pr-threads/SKILL.md · 137 lines

How it starts

The opening of the file, as written. The whole thing — 137 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, post the surviving drafts, dismiss the code-scanning alerts their entries name, and resolve threads whose entry carries a resolution reason.

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, clarify, or resolve-only), and per-category payload. An entry may also carry a resolution reason: ADDRESSED, WONT_FIX, or INVALID. A skip entry that carries a resolution reason may also carry a code-scanning alert number and a dismissal reason: false positive, won't fix, or used in tests. Its reply doubles as the alert's dismissal comment, so keep it within 280 characters.

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 the raw answer text. 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.

Read the full file on GitHub · 137 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. 7d ago Changed · +12 lines · +17 tokens per session dbbdcf8cd5a3
  2. 12d ago Changed · +22 lines · +9 tokens per session 148772cfbf93
  3. 29d ago Changed e374b5fc0f7c
  4. 1mo ago First seen · 103 lines · 71 tokens per session scan A 2746af51ddf1

Subscribe to this mod's changes

reply-to-pr-threads is a skill published in the GitHub repository tobihagemann/turbo (417 stars, last pushed 4d ago), licensed MIT. It adds 97 tokens to every session and 1,534 once invoked, about $0.0004 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 2026-08-30.

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