answer-reviewer-questions

answer-reviewer-questions is a skill for Claude Code, Codex from tobihagemann/turbo. It costs 48 tokens per session (450 once invoked), scanned A, original, MIT.

A tool for drafting plain-text answers to questions left by reviewers on a pull request, a request to merge code into a project. It uses the implementation's reasoning for each question.

In plain words
What is it for?
It helps answer review threads, explain implementation choices, and prepare responses for a later reply-formatting step.
Why use it?
It removes the need to reconstruct why a code decision was made before replying to review feedback.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps answer review threads, explain implementation choices, and prepare responses for a later reply-formatting step.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tobihagemann/turbo/answer-reviewer-questions
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 answer-reviewer-questions
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 answer-reviewer-questions

README.md
[![agentmods](https://agentmods.dev/badge/skills/tobihagemann/turbo/answer-reviewer-questions/github.svg)](https://agentmods.dev/skills/tobihagemann/turbo/answer-reviewer-questions)
Your own site
<a href="https://agentmods.dev/skills/tobihagemann/turbo/answer-reviewer-questions"><img src="https://agentmods.dev/badge/skills/tobihagemann/turbo/answer-reviewer-questions/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 answer-reviewer-questions

Your own site · 80×15
<a href="https://agentmods.dev/skills/tobihagemann/turbo/answer-reviewer-questions"><img src="https://agentmods.dev/badge/skills/tobihagemann/turbo/answer-reviewer-questions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 450 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 $0.00048 $0.00450
Opus 5 $0.00024 $0.00225
Sonnet 5 $0.00010 $0.00090
Haiku 4.5 $0.00005 $0.00045

Measured 12d ago against content hash 0db99ef56460, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

answer-reviewer-questions 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 12d 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/answer-reviewer-questions/SKILL.md · 42 lines

What it actually says

Answer Reviewer Questions

For each reviewer question thread, recall the implementer's reasoning and compose a raw answer. The answers are plain text and feed into a downstream reply-drafting skill that applies voice rules and reply formatting.

Step 1: Collect Question Threads

Use the question threads from conversation context. Each thread has: thread id, file path, line (use originalLine when line is null), the reviewer's original comment, and the reconciled intent from /interpret-feedback.

If no question threads were provided, report that there are no questions to answer and stop.

Step 2: Answer Each Thread

For each thread:

  1. Run the /recall-reasoning skill with <path>:<line>. It returns either recalled reasoning from a past transcript, or a fallback derived from reading the commit diff and surrounding code.
  2. Compose a one-or-two-sentence answer from the returned reasoning. Quote or paraphrase the implementer's own words when the recalled reasoning explains the decision well.
  3. Do not mention Claude, transcripts, or that the reasoning was recalled. The answer reads as the implementer's own explanation.

Step 3: Output Answers

Output one block per thread:

**Thread <id>** (<path>:<line>)
<answer text>
_Grounding: derived from current code_

Include the _Grounding:_ line only when /recall-reasoning returned no transcript. Omit it when the answer is grounded in recalled reasoning.

Then use the TaskList tool and proceed to any remaining task.

Rules

  • Do not load /github-voice or apply reply formatting. Downstream drafting applies voice rules when composing the actual reply.
  • When /recall-reasoning returned no transcript, still compose an answer from the current code and include the _Grounding:_ line so the downstream drafter knows the answer has weaker grounding.
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. 12d ago First seen · 42 lines · 48 tokens per session scan A 0db99ef56460

Subscribe to this mod's changes

answer-reviewer-questions is a skill published in the GitHub repository tobihagemann/turbo (402 stars, last pushed 2d ago), licensed MIT. It adds 48 tokens to every session and 450 once invoked, about $0.0002 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.

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