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Review Pr Thread Verify

Community
doodledood
review-pr-thread-verify

Called by review-pr for each unresolved review thread it authored: judges from the thread, the author's replies, and the current code whether the original concern is addressed, stale, or still standing, and returns exactly one disposition with a drafted reply where one is needed. Not for direct use.

Overview

Publisherdoodledood
Repositorymanifest-dev
Skill namereview-pr-thread-verify
Stars
77
Forks
10
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by doodledood on GitHub. Read the source before you install it.

Installation

Install the Review Pr Thread Verify AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/doodledood/manifest-dev/tree/main/claude-plugins/manifest-dev-tools/skills/review-pr-thread-verify
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/doodledood/manifest-dev.git /tmp/manifest-dev
mkdir -p .claude/skills
cp -r /tmp/manifest-dev/claude-plugins/manifest-dev-tools/skills/review-pr-thread-verify .claude/skills/review-pr-thread-verify
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Review Pr Thread Verify in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Review Pr Thread Verify on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Review Pr Thread Verify is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

review-pr-thread-verify

Decide what has happened to one review finding since we posted it. The caller hands over everything; this skill judges and returns, and never posts, resolves, or edits anything itself.

Receives. The original finding (its anchor, body, the commit or head SHA it was reviewed at, and the concrete concern it raised); every author reply on the thread since our last message, plus every prior reply we posted there; the current code at the anchor with nearby context, and any commits since the original review that touched the relevant range; the full PR history (all comments, review threads, commit messages, the current PR description, our prior review and comment bodies); bundle context for each linked PR (diff, description, top-level conversation); and the caller's voice profile — its rules for how a posted comment reads — to apply to any reply drafted here.

Judges. Read the concrete concern first and hold it fixed: the question is whether that failure mode is gone, conceded, disproven, or still live — not whether the thread has been discussed. A code change counts only when it touches the relevant range and removes the failure mode; a reply counts only when a fair-minded human reviewer would concede it. Push back only on new signal — a new author reply or a code change — and stay on the specific point under contention; never repeat an argument already made on the thread.

Returns exactly one disposition:

  • addressed-by-fix — A commit after our review modified the relevant code and removes the concrete failure mode. Straightforward code fixes need no reply unless there was active discussion to answer; draft one only then.
  • addressed-by-valid-reply — The author replied on this or another thread with an argument a fair-minded human reviewer would concede: correct factual context, a deliberate owner trade-off, a valid out-of-scope boundary, or code elsewhere already covering the concern. Draft a short concession or acknowledgment.
  • false-positive-or-stale — Our comment was wrong, stale, or is disproven by current PR history. Draft a brief correction that owns the miss.
  • needs-our-pushback — The author replied or changed code, but the concrete concern remains. Draft a short reply for the existing thread on that specific point.
  • still-pending — No relevant new author reply and no relevant code change since our last look. Draft nothing.

Return shape. The disposition name, one short reason (the evidence: the commit, the reply, or the absence of either), and the drafted reply text when the disposition calls for one, written in the supplied voice profile.

Frequently asked questions

What does the Review Pr Thread Verify AI skill do?

Called by review-pr for each unresolved review thread it authored: judges from the thread, the author's replies, and the current code whether the original concern is addressed, stale, or still standing, and returns exactly one disposition with a drafted reply where one is needed. Not for direct use.

Why use Review Pr Thread Verify on TypingMind?

Because you install it once and use it with any model. Review Pr Thread Verify is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Review Pr Thread Verify in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/doodledood/manifest-dev/tree/main/claude-plugins/manifest-dev-tools/skills/review-pr-thread-verify. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Review Pr Thread Verify?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Review Pr Thread Verify?

As many as you like. As long as a model supports skills, you can use Review Pr Thread Verify with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Review Pr Thread Verify AI skill free?

Yes. It is published on GitHub by doodledood under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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