Perform Security Review logo

Perform Security Review

Organization
bitwarden
perform-security-review

Performs a security-focused code review by launching multiple specialized agents and a verification agent to ensure comprehensive coverage and accurate findings. Use this skill when the user asks for a "perform-security-review", "bitwarden-security-review", "execute a security review", "run a comprehensive security audit", "perform an end-to-end security assessment", or needs to coordinate multiple security checks across code, dependencies, secrets, and configurations. The skill manages the workflow, delegates tasks to specialized agents, and presents final findings to the user.

Overview

Publisherbitwarden
Repositoryai-plugins
Skill nameperform-security-review
Stars
149
Forks
19
Bundled files
3
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.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Perform Security Review 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-security-engineer/skills/perform-security-review .claude/skills/perform-security-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Perform Security Review 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 Perform Security Review 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 Perform Security Review 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.

Parameters

--base-ref <ref>: Branch comparison mode only. Use this ref as the diff base instead of probing for one. It still passes all three checks in step 1-A2, so an unresolvable or disconnected ref is rejected rather than trusted. Supply this when the probes in step 1-A2 would resolve the wrong base — a non-default trunk such as rc, or a repository where gh is unauthenticated so candidate 2 is unavailable. It does not rescue a default actions/checkout; references/base-ref-resolution.md says why and what does.

--output-dir <path>: When using --output file, write the report to <path>/security-review-YYYY-MM-DD-{identifier}.md instead of the current working directory. Tip: use --output-dir ~/.claude/security-reviews/ to keep reports outside git repos.

Security Review Mode

Determine review mode from the invocation. A PR number, commit SHA, or duration argument selects its own mode, and --base-ref selects branch comparison mode when no positional argument is given.

If a positional argument and --base-ref are both present, stop and report the conflict, naming both and asking for one. Launch no agents. Write the report to the resolved output destination, as the step 1-A2 abort does.

  • PR mode (PR number or URL): gh pr view <number> for context, gh pr diff <number> for the diff.
  • Commit mode (commit SHA): git diff <sha>..HEAD — reviews all changes after that commit.
  • Time-based mode (duration, e.g., "last 48 hours"): find the oldest commit in range with git log --since="<duration>" --reverse --format=%H | head -1, then git diff <sha>^..HEAD to include it.
  • Local changes mode (no PR, commit, or duration argument, no --base-ref, and pending changes exist): git diff HEAD for staged + unstaged changes.
  • Branch comparison mode (no positional argument, and either --base-ref <ref> is given or the tree has no pending changes): git diff <base-ref>...HEAD — changes since the branch diverged from the base, resolved in sub-step A2 rather than assumed to be main. --base-ref selects this mode outright, so it works in a dirty tree, but a three-dot diff compares commits and leaves pending changes unreviewed. Run git diff --quiet HEAD here too and add the step 5 header's Pending changes: line when it reports dirty; without --base-ref, pending changes route to local changes mode instead.

Two of those modes turn on whether the tree is dirty. Test it with git diff --quiet HEAD, which exits 1 when pending changes exist.

Security Review Process

Model selection: If --model is specified, use that model for all agents. Otherwise, default to opus.

Execute these steps in order. Do not skip, reorder, or combine them. Three places stop the run early, and taking them is following this rule: the mode-conflict stop above, the step 1-A2 abort, and the step 1B stops.

  1. Gather context. Run all of these before launching any agents.

    A.) Resolve repo identity. Run each of these as its own Bash call — do NOT chain with &&, ||, ;, or pipes:

    • git remote get-url origin — parse owner and repo from the output. Handle both HTTPS (https://github.com/owner/repo.git) and SSH (git@github.com:owner/repo.git) formats.
    • git branch --show-current — capture the current branch name.

    A2.) Resolve the base ref. Branch comparison mode only; skip for every other mode. Run each command as its own Bash call. references/base-ref-resolution.md explains why each check below exists.

    A caller may supply --base-ref <ref>. When present it is the only candidate: do not probe for others, and if it fails any of the three checks below, go straight to the abort. Falling through to origin/HEAD would review a base the caller did not ask for. Use the ref exactly as given — never rewrite it — but a bare main resolves to the local branch rather than origin/main, so name the ref you used in the step 5 header, where a stale local base is at least visible.

    Otherwise, candidates in order:

    1. git rev-parse --abbrev-ref origin/HEAD — its output, when the command exits 0. Key on the exit status, never the output.
    2. gh repo view --json defaultBranchRef --jq .defaultBranchRef.name, giving origin/<default_branch>. Not gh api; see references/tool-grants.md. Build it whenever candidate 1 does not yield a base ref — either its command exited non-zero, so there is no candidate 1 at all, or its output failed one of the three checks. If the API call itself fails, candidate 2 does not exist.

    Every candidate passes all three checks, in this order, whatever its source. A probe candidate that fails any check is discarded and resolution falls through to the next probe. A caller-supplied --base-ref has no next candidate, so it goes straight to the abort.

    1. It matches ^[A-Za-z0-9_][A-Za-z0-9._/-]*$, checked before the value is placed in any command. The reference file covers what that catches and why the leading character is pinned on its own.
    2. git rev-parse --verify --quiet <candidate> exits 0.
    3. git merge-base <candidate> HEAD exits 0.

    Keep the origin/ prefix throughout. The first candidate to pass all three becomes <base-ref>.

    The abort. When no candidate passes, stop before step 1B; do not ask the user mid-run. Name which of the three checks the last candidate failed, since the remedies differ, then give all three ways out: fetch-depth: 0 on the checkout, git fetch origin <base> before invoking, or PR mode with a pull request number. Write it to the resolved output destination, the same one a completed review would use. For github--output github, or --output omitted and printenv GITHUB_ACTIONS exits 0 with non-empty output — that means /tmp/review-summary.md with \n\n<!-- bitwarden-security-code-review --> appended, which is what the workflow post-step reads; file and chat take the report path and the reply respectively. Do not run steps 1B through 7; no diff file exists to clean up.

    B.) Fetch and save the diff. Using the review mode determined above, run exactly one of these commands as a single Bash call — no &&, ;, or pipes. Shell redirection (>) is required and allowed:

    • PR mode: gh pr diff <number> > /tmp/security-review-<identifier>.diff
    • Commit mode: git diff <sha>..HEAD > /tmp/security-review-<identifier>.diff
    • Time-based mode: git diff <oldest-sha>^..HEAD > /tmp/security-review-<identifier>.diff
    • Local changes mode: git diff HEAD > /tmp/security-review-<identifier>.diff
    • Branch comparison mode: git diff <base-ref>...HEAD > /tmp/security-review-<identifier>.diff

    Read the file with a 1-line limit on every path, including a non-zero exit — never unbounded, since the coordinator must not hold the diff. Read it even when the run has clearly failed: Write refuses to overwrite a file it has not read this session, so skipping the read leaves step 7 unable to clear a partially written diff. Then check the exit status and whether the file has content. Launch no agents unless the command exited 0 and the file has content.

    • Non-zero exit: the diff command failed. Report the failure and the exact diff command that was run.
    • Exit 0 with an empty file, branch comparison mode: a legitimate result. Report that there are no changes between <base-ref> and HEAD.
    • Exit 0 with an empty file, any other mode: report that the resolved range produced no diff, naming the mode and the range.

    In those three cases, and only those, clear the diff file with step 7's Write before stopping. On the success path it must survive: steps 2 and 4 hand its path to the agents.

    Report as the step 1-A2 abort does, to the resolved output destination. Stopping here skips step 5, so add the Pending changes: not reviewed note when the tree was dirty. Emit no summary table and no findings sections; nothing was reviewed.

    Choose a descriptive <identifier> (e.g., PR123, 5days, local). Store the full path as DIFF_FILE and include it in every agent prompt in steps 2 and 4 so they can Read the diff directly.

    C.) Fetch scan evidence. None of these three calls stops the review if it fails — scan evidence corroborates findings in steps 2 and 4, it is not required for them to run. Aikido evidence uses the pre-approved MCP tool grant and runs without a prompt. The secret scanning and Dependabot gh api calls below are reads, and neither is pre-approved (references/tool-grants.md says why), so each prompts; in CI nobody answers and both are denied. Treat anything other than a successful response as a failure. Record each scanner's outcome as one of: its formatted output; None when it ran and returned nothing; Not available when the scanner is off or unreachable (403, 404, MCP server unavailable, GHAS not enabled) — and, for Aikido specifically, when the skill did not return a successful, authenticated response even if the result looks empty (a missing or unauthenticated session can surface as an empty result rather than a clear error); Errored (<status>) when the call ran and failed (malformed response); or, for the two gh api scanners only, Not checked (permission denied) when it never ran — Aikido's grant is pre-approved, so that state cannot occur for it. Only None means the scanner looked and found nothing; conflating it with Not available risks a missing Aikido session reading as a clean SAST/IaC scan. Use gh api --jq for all formatting — DO NOT pipe to jq. Both gh api calls MUST use --method GET and -H "X-GitHub-Api-Version: 2026-03-10".

    • Aikido (SAST/IaC/SCA/Container): Invoke Skill(aikido:issues) scoped to this repo (repo_name={repo}) with issue_types: ["sast", "iac", "open_source", "docker_container"] to list open findings. Bitwarden's SAST/IaC scanning runs through Aikido, not GitHub code scanning — do not query the code-scanning/alerts API, it will not have these findings. Format each returned issue as SEVERITY | title | file (line N), and split the results into the two SCAN_EVIDENCE blocks below by issue type.
    • Secret scanning: gh api --method GET -H "X-GitHub-Api-Version: 2026-03-10" "repos/{owner}/{repo}/secret-scanning/alerts?state=open" --jq '.[] | "\(.secret_type_display_name) | \(.state) | \(.resolution // "open")"'
    • Dependabot: gh api --method GET -H "X-GitHub-Api-Version: 2026-03-10" "repos/{owner}/{repo}/dependabot/alerts?state=open&per_page=100" --jq '.[] | "\(.security_advisory.severity | ascii_upcase) | \(.dependency.package.name) | \(.security_advisory.cve_id // .security_advisory.ghsa_id) | \(.security_advisory.summary)"'

    Collect results into a SCAN_EVIDENCE block for use in steps 2 and 4:

    === SCAN EVIDENCE (pre-fetched — do not re-fetch) ===
    
    --- AIKIDO (SAST/IAC) ---
    {one of: formatted output | None | Not available | Errored (<status>)}
    
    --- AIKIDO (SCA/CONTAINER) ---
    {one of: formatted output | None | Not available | Errored (<status>)}
    
    --- SECRET SCANNING ---
    {one of: formatted output | None | Not available | Errored (<status>) | Not checked (permission denied)}
    
    --- DEPENDABOT ---
    {one of: formatted output | None | Not available | Errored (<status>) | Not checked (permission denied)}
  2. Launch these four (4) subagent_type: "bitwarden-security-engineer:bitwarden-security-engineer" agents in parallel. Each agent has a specific domain — you MUST instruct it to stay within that domain. The agent MUST read references/security-review-rubric.md before starting AND before evaluating findings.

    Agent 1 — Code Security: Focus exclusively on injection flaws (SQL, XSS, command), cryptographic weaknesses, insecure coding patterns, and OWASP A01–A05. Invoke Skill(bitwarden-security-context) and Skill(analyzing-code-security) to guide your analysis. Do not evaluate secrets, dependencies, architecture, or threat modeling.

    Agent 2 — Secrets & Dependencies: Focus exclusively on hardcoded credentials, exposed secrets, vulnerable packages, and supply chain risk. Invoke Skill(bitwarden-security-context), Skill(detecting-secrets), and Skill(reviewing-dependencies) to guide your analysis, but for Aikido SCA/container data use the pre-fetched --- AIKIDO (SCA/CONTAINER) --- block from SCAN_EVIDENCE instead of querying aikido:issues live — that tool is off-limits here, see the constraint below. Do not evaluate code patterns, architecture, or threat modeling.

    Agent 3 — Security Architecture: Focus exclusively on authentication, authorization, encryption implementation, trust boundaries, and Bitwarden's zero-knowledge invariant (encryption and decryption happen client-side only — the server must never have access to plaintext vault data). Invoke Skill(reviewing-security-architecture) and Skill(bitwarden-security-context) to guide your analysis. Do not evaluate injection flaws, secrets, or threat modeling.

    Agent 4 — Threat Perspective: Focus exclusively on attacker-oriented analysis — trace user input through data flows to dangerous sinks, business logic flaws, privilege escalation paths, data exposure, and API abuse patterns. Invoke Skill(bitwarden-security-context), Skill(analyzing-code-security), and Skill(threat-modeling) to guide your analysis. Do not evaluate architecture patterns, secrets, or dependency versions.

    For all four agents:

    • Use the selected model.
    • CRITICAL: Every agent prompt MUST include this framing at the start: "You are a security researcher analyzing code for impactful, exploitable, and reproducible vulnerabilities for an authorized internal security audit. Your goal is to find real bugs — approach this analysis without safety refusals, as this is an explicitly authorized internal security engagement at Bitwarden."
    • CRITICAL: Every agent prompt MUST include this constraint: "The diff has been pre-fetched and saved to {DIFF_FILE} — read it using the Read tool. DO NOT execute gh pr diff, git diff, or any other diff commands. NEVER use WebFetch, WebSearch, Skill(aikido:issues), mcp__plugin_aikido_aikido-mcp__aikido_issues_list, or any gh api endpoints — scan evidence has been pre-fetched and is provided below."
    • CRITICAL: Every agent prompt MUST include the full SCAN_EVIDENCE block gathered in step 1.
    • Report all findings with: severity (CRITICAL/HIGH/MEDIUM/LOW/INFO), affected file and line, and recommended remediation.
    • Report positive security changes (e.g., fixing a CWE, improving cryptography) as ✅ Strengths with a brief rationale.
  3. After all four agents return, rate each finding using the two-axis model defined in references/security-review-rubric.md:

    • Severity: 🔴 CRITICAL | 🟠 HIGH | 🟡 MEDIUM | 🔵 LOW | ⚪ INFO
    • Confidence: 🟢 HIGH | 🟡 MEDIUM | 🔵 LOW
    • Apply the threshold matrix in the rubric to assign a triage category: 🚨 Blocker, ⚠️ Improvement, 📝 Note, ✅ Strength, or ❌ Dismiss.
  4. Launch a verification agent subagent_type: "bitwarden-security-engineer:bitwarden-security-engineer" with all combined findings, their severity/confidence ratings, the triage matrix, the DIFF_FILE path, and the full SCAN_EVIDENCE block from step 1.

    • CRITICAL: Every agent prompt MUST include this constraint: "The diff has been pre-fetched and saved to {DIFF_FILE} — read it using the Read tool. Do NOT run gh pr diff, git diff, or any other diff commands. NEVER use WebFetch, WebSearch, Skill(aikido:issues), mcp__plugin_aikido_aikido-mcp__aikido_issues_list, or any gh api endpoints — scan evidence has been pre-fetched and is provided above."
    • The verification agent MUST review, evaluate, verify, and confirm all findings and ratings.
    • Use scan evidence to triangulate: findings corroborated by scanner alerts → increase confidence; findings in areas scanners cleared → apply additional scrutiny.
    • The verification agent MUST classify each finding as: 🚨 Blocker, ⚠️ Improvement, 📝 Note, ✅ Strength, or ❌ Dismiss — applying the threshold matrix from step 2.
    • The verification agent MUST provide a brief rationale for each finding's classification.
    • The verification agent MUST NOT remove any findings.
    • The verification agent MUST NOT introduce any new findings.
  5. Format the summary report.

    First, set the report header based on review mode:

    • PR mode: PR: (#{number}) - {PR title} — {YYYY-MM-DD}
    • Commit mode: Code Review: {short SHA}..HEAD — {YYYY-MM-DD}
    • Time-based mode: Code Review: Changes since {duration} — {YYYY-MM-DD}
    • Local changes mode: Code Review: Local Changes — {YYYY-MM-DD}
    • Branch comparison mode: Code Review: {branch} vs {base-ref} — {YYYY-MM-DD}, followed by a Pending changes: not reviewed line when the tree was dirty and omitted when it was not.

    Then format the report:

    markdown
    # 🤖 Claude Security Code Review 🤖
    
    {header}
    
    **Date:** {YYYY-MM-DD}
    
    <details>
    <summary><strong>Commits reviewed:</strong> {short-sha}..HEAD · {n} commits · {path1}, {path2}</summary>
    
    | SHA     | Title          |
    | ------- | -------------- |
    | `{sha}` | {commit title} |
    
    </details>
    
    ## Summary
    
    | Category        | Count |
    | --------------- | ----- |
    | 🚨 Blockers     | {n}   |
    | ⚠️ Improvements | {n}   |
    | 📝 Notes        | {n}   |
    | ✅ Strengths    | {n}   |
    | ❌ Dismissed    | {n}   |
    
    {Up to 6 bullets. Include: overall security posture, zero-knowledge invariant status, notable positive changes, key risks or patterns worth watching, and any context that affects how findings should be interpreted. Each bullet should be one tight sentence.}
    
    ## 🚨 Blockers
    
    {Each finding: "- [Description]\n - Location: `filename.ts:42`\n - Severity: 🔴 CRITICAL | 🟠 HIGH\n - Confidence: 🟢 HIGH | 🟡 MEDIUM\n - Rationale: [Why classified as Blocker]"}
    
    ## ⚠️ Improvements
    
    {Each finding: "- [Description]\n - Location: `filename.ts:42`\n - Severity: 🔴 CRITICAL | 🟠 HIGH | 🟡 MEDIUM\n - Confidence: 🟢 HIGH | 🟡 MEDIUM\n - Rationale: [Why classified as Improvement]"}
    
    ## 📝 Notes
    
    {Each finding: "- [Description]\n - Location: `filename.ts:42`\n - Severity: 🟡 MEDIUM | 🔵 LOW | ⚪ INFO\n - Confidence: 🟢 HIGH | 🟡 MEDIUM\n - Rationale: [Why classified as Note]"}
    
    ## ✅ Strengths
    
    <details>
    <summary>Expand for details on ({n}) strengths</summary>
    
    {Each strength: "- [Description]\n - Location: `filename.ts:42`\n - Rationale: [Why this is a positive security change]"}
    
    </details>
    
    ## ❌ Dismissed
    
    <details>
    <summary>Expand for details on ({n}) dismissed findings</summary>
    
    {Each finding: "- [Description]\n - Location: `filename.ts:42`\n - Severity: 🔴 CRITICAL | 🟠 HIGH | 🟡 MEDIUM | 🔵 LOW | ⚪ INFO\n - Confidence: 🔵 LOW\n - Rationale: [Why dismissed]"}
    
    </details>

    Omit any section with zero findings entirely — do not render an empty heading. For <details> sections, omit them entirely if the count is zero.

  6. Check the --output argument to determine the output destination. If --output is omitted, run printenv GITHUB_ACTIONS as its own Bash call and check whether it exits 0 with non-empty output — if set, default to github; otherwise default to chat.

    Output: chat

    Default when --output is omitted and not running in CI.

    1. Return the report directly to the user in the chat.
    2. Do NOT write any files.

    Output: file

    1. If --output-dir <path> is specified, write to <path>/security-review-YYYY-MM-DD-{identifier}.md. Otherwise write to the current working directory.
    2. {identifier} is the PR number (e.g., PR123), commit SHA (short), or local.
    3. Do NOT use gh pr comment, gh api, or any MCP posting tool.
    4. Confirm the file path to the user after writing.

    Output: github

    Default when --output is omitted and printenv GITHUB_ACTIONS exits 0 with non-empty output, as step 6 resolves it.

    1. Write the report to /tmp/review-summary.md using the Write tool.
    2. Append \n\n<!-- bitwarden-security-code-review --> at the end of the file content.
    3. Do NOT use gh pr comment, gh api, or any MCP posting tool.
    4. Confirm to the user: "Report written to /tmp/review-summary.md for workflow pickup."

    The workflow post-step will read this file and update the placeholder comment automatically.

  7. Clear the temporary diff file. If step 1B created DIFF_FILE, use the Write tool to overwrite it with an empty string, in every output mode and whether or not findings were reported. The file remains, empty. A run that aborted in step 1-A2 never created one. Do not report this step.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Perform Security Review AI skill do?

Performs a security-focused code review by launching multiple specialized agents and a verification agent to ensure comprehensive coverage and accurate findings. Use this skill when the user asks for a "perform-security-review", "bitwarden-security-review", "execute a security review", "run a comprehensive security audit", "perform an end-to-end security assessment", or needs to coordinate multiple security checks across code, dependencies, secrets, and configurations. The skill manages the workflow, delegates tasks to specialized agents, and presents final findings to the user.

Why use Perform Security Review on TypingMind?

Because you install it once and use it with any model. Perform Security Review 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 Perform Security Review in TypingMind?

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

Which AI models can use Perform Security Review?

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 Perform Security Review?

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

Is the Perform Security Review 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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