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Classifying Review Findings

Organization
bitwarden
classifying-review-findings

Use this skill when categorizing code review findings into severity levels. Apply when determining which emoji and label to use for PR comments, deciding if an issue should be flagged at all, or classifying findings as CRITICAL, IMPORTANT, DEBT, SUGGESTED, or QUESTION.

Overview

Publisherbitwarden
Repositoryai-plugins
Skill nameclassifying-review-findings
Stars
149
Forks
19
Bundled files
Instructions only
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 bitwarden on GitHub. Read the source before you install it.

Installation

Install the Classifying Review Findings 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.
  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/bitwarden/ai-plugins.git /tmp/ai-plugins
mkdir -p .claude/skills
cp -r /tmp/ai-plugins/plugins/bitwarden-code-review/skills/classifying-review-findings .claude/skills/classifying-review-findings
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Classifying Review Findings 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 Classifying Review Findings 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 Classifying Review Findings 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.

Classifying Review Findings

Severity Categories

EmojiCategoryCriteria
CRITICALWill break, crash, expose data, or violate requirements
⚠️IMPORTANTMissing error handling, unhandled edge cases, could cause bugs
♻️DEBTDuplicates patterns, violates conventions, needs rework within 6 months
🎨SUGGESTEDMeasurably improves security, reduces complexity by 3+, eliminates bug classes
QUESTIONRequires human knowledge - unclear requirements, intent, or system conflicts

ALWAYS use hybrid emoji + text format for each finding (if multiple severities apply, use the most severe: ❌ > ⚠️ > ♻️ > 🎨 > ❓):

Before Classifying

Verify ALL three:

  1. Can you trace the execution path showing incorrect behavior?
  2. Is this handled elsewhere (error boundaries, middleware, validators)?
  3. Are you certain about framework behavior and language semantics?

If any answer is "no" or "unsure" → DO NOT classify as a finding.

Not Valid Findings (Reject)

  • Praise ("great implementation")
  • Vague suggestions ("could be simpler")
  • Style preferences without enforced standard
  • Naming nitpicks unless actively misleading
  • PR metadata issues (title, description, test plan) - handled by summary skill, not classified here
  • Renovate/Dependabot minor/patch updates to existing dependencies with passing CI — these are routine Stage 5 monitoring, not reviewable findings

Suggested Improvements (🎨) Criteria

Only suggest improvements that provide measurable value:

  1. Security gain - Eliminates entire vulnerability class (SQL injection, XSS, etc.)
  2. Complexity reduction - Reduces cyclomatic complexity by 3+, eliminates nesting level
  3. Bug prevention - Makes entire category of bugs impossible (type safety, null safety)
  4. Performance gain - Reduces O(n²) to O(n), eliminates N+1 queries (provide evidence)

Provide concrete metrics:

  • ❌ "This could be simpler"
  • ✅ "This has cyclomatic complexity of 12; extracting validation logic would reduce to 6"

If you can't measure the improvement, don't suggest it.

Frequently asked questions

What does the Classifying Review Findings AI skill do?

Use this skill when categorizing code review findings into severity levels. Apply when determining which emoji and label to use for PR comments, deciding if an issue should be flagged at all, or classifying findings as CRITICAL, IMPORTANT, DEBT, SUGGESTED, or QUESTION.

Why use Classifying Review Findings on TypingMind?

Because you install it once and use it with any model. Classifying Review Findings 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 Classifying Review Findings in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bitwarden/ai-plugins/tree/main/plugins/bitwarden-code-review/skills/classifying-review-findings. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Classifying Review Findings?

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 Classifying Review Findings?

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

Is the Classifying Review Findings AI skill free?

It is published on GitHub by bitwarden. Check the repository for licensing terms. 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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