Workflow Audit logo

Workflow Audit

Organization
bitwarden
workflow-audit

Run the Bitwarden workflow linter (bwwl) against one or more repos and report findings. Strictly read-only — does not modify any files. Categorizes findings as mechanical or judgment using the bitwarden-workflow-linter-rules skill. Supports single repo, multiple repos, or single file/directory scope. <example> User: Run the workflow linter on the server repo Action: Trigger workflow-audit for that repo </example> <example> User: Lint the workflows across server, clients, and android Action: Trigger workflow-audit in multi-repo mode </example>

Overview

Publisherbitwarden
Repositoryai-plugins
Skill nameworkflow-audit
Stars
149
Forks
19
Bundled files
Instructions only
Links
Skill sourceRepository
  • 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 Workflow Audit 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-devops-engineer/skills/workflow-audit .claude/skills/workflow-audit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Workflow Audit 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 Workflow Audit 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 Workflow Audit 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.

Rules

  • This skill is strictly read-only. Do not modify, create, or delete any files.
  • Flag uncertainty. If a finding is ambiguous, note it in the report rather than guessing.

Step 1: Verify Prerequisites

Check if bwwl is available:

bash
bwwl --version

If the command is not found, stop and inform the user that bwwl must be installed before continuing. Do not attempt to install it.

Step 2: Determine Scope

Parse the user's request to determine what to lint:

  • Single file or directory (e.g., .github/workflows/build.yml or .github/workflows/): Operate on the current repo only.
  • Multiple repos (e.g., "server, clients, android"): Operate on each repo sequentially. Ask the user for the base directory where their repos are cloned. For each repo, look for its local clone at <base-dir>/<repo>. If a clone is not found, inform the user and skip that repo.
  • No specific target: Lint all files in .github/workflows/ of the current directory.

Step 3: Run the Linter

For each repo in scope, run:

bash
bwwl lint -f .github/workflows/

Capture both stdout and stderr. If operating on multiple repos, announce which repo is being linted.

Step 4: Parse and Categorize Findings

From the linter output, produce a structured list of findings. Group by file and rule. Consult the bitwarden-workflow-linter-rules skill to categorize each finding:

Mechanical (can be auto-fixed):

  • name_capitalized, permissions_exist, pinned_job_runner, step_pinned, underscore_outputs, job_environment_prefix, check_pr_target
  • Simple run_actionlint findings (single-line shell fixes)

Judgment (requires user input):

  • name_exists, step_approved, complex run_actionlint findings

Step 5: Report

Output a summary table per repo:

FileFindingRuleCategory
............

Include totals: mechanical findings, judgment findings, and repos with no issues.

Inform the user that they can use the workflow-fix skill to apply fixes based on these findings.

Frequently asked questions

What does the Workflow Audit AI skill do?

Run the Bitwarden workflow linter (bwwl) against one or more repos and report findings. Strictly read-only — does not modify any files. Categorizes findings as mechanical or judgment using the bitwarden-workflow-linter-rules skill. Supports single repo, multiple repos, or single file/directory scope. <example> User: Run the workflow linter on the server repo Action: Trigger workflow-audit for that repo </example> <example> User: Lint the workflows across server, clients, and android Action: Trigger workflow-audit in multi-repo mode </example>

Why use Workflow Audit on TypingMind?

Because you install it once and use it with any model. Workflow Audit 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 Workflow Audit in TypingMind?

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

Which AI models can use Workflow Audit?

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 Workflow Audit?

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

Is the Workflow Audit 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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