>- Run Semgrep static analysis scan on a codebase using parallel subagents. Supports two scan modes — "run all" (full ruleset coverage) and "important only" (high-confidence security vulnerabilities). Automatically detects and uses Semgrep Pro for cross-file taint analysis when available. Use when asked to scan code for vulnerabilities, run a security audit with Semgrep, find bugs, or perform static analysis. Spawns parallel workers for multi-language codebases.
npx skills add https://github.com/trailofbits/skills --skill semgrep
Run a Semgrep scan with automatic language detection, parallel execution via Task subagents, and merged SARIF output.
--metrics=off — Semgrep sends telemetry by default; --config auto also phones home. Every semgrep command must include --metrics=off to prevent data leakage during security audits.semgrep-rule-creator skillsemgrep-rule-variant-creator skillAll scan results, SARIF files, and temporary data are stored in a single output directory.
OUTPUT_DIR../static_analysis_semgrep_1. If that already exists, increment to _2, _3, etc.In both cases, always create the directory with mkdir -p before writing any files.
# Resolve output directory
if [ -n "$USER_SPECIFIED_DIR" ]; then
OUTPUT_DIR="$USER_SPECIFIED_DIR"
else
BASE="static_analysis_semgrep"
N=1
while [ -e "${BASE}_${N}" ]; do
N=$((N + 1))
done
OUTPUT_DIR="${BASE}_${N}"
fi
mkdir -p "$OUTPUT_DIR/raw" "$OUTPUT_DIR/results"
The output directory is resolved once at the start of Step 1 and used throughout all subsequent steps.
$OUTPUT_DIR/
├── rulesets.txt # Approved rulesets (logged after Step 3)
├── raw/ # Per-scan raw output (unfiltered)
│ ├── python-python.json
│ ├── python-python.sarif
│ ├── python-django.json
│ ├── python-django.sarif
│ └── ...
└── results/ # Final merged output
└── results.sarif
Required: Semgrep CLI (semgrep --version). If not installed, see Semgrep installation docs.
Optional: Semgrep Pro — enables cross-file taint tracking, inter-procedural analysis, and additional languages (Apex, C#, Elixir). Check with:
semgrep --pro --validate --config p/default 2>/dev/null && echo "Pro available" || echo "OSS only"
Limitations: OSS mode cannot track data flow across files. Pro mode uses -j 1 for cross-file analysis (slower per ruleset, but parallel rulesets compensate).
Select mode in Step 2 of the workflow. Mode affects both scanner flags and post-processing.
| Mode | Coverage | Findings Reported |
|------|----------|-------------------|
| Run all | All rulesets, all severity levels | Everything |
| Important only | All rulesets, pre- and post-filtered | Security vulns only, medium-high confidence/impact |
Important only applies two filter layers:
--severity MEDIUM --severity HIGH --severity CRITICAL (CLI flag)category=security, confidence∈{MEDIUM,HIGH}, impact∈{MEDIUM,HIGH}See scan-modes.md for metadata criteria and jq filter commands.
┌──────────────────────────────────────────────────────────────────┐
│ MAIN AGENT (this skill) │
│ Step 1: Detect languages + check Pro availability │
│ Step 2: Select scan mode + rulesets (ref: rulesets.md) │
│ Step 3: Present plan + rulesets, get approval [⛔ HARD GATE] │
│ Step 4: Spawn parallel scan Tasks (approved rulesets + mode) │
│ Step 5: Merge results and report │
└──────────────────────────────────────────────────────────────────┘
│ Step 4
▼
┌─────────────────┐
│ Scan Tasks │
│ (parallel) │
├─────────────────┤
│ Python scanner │
│ JS/TS scanner │
│ Go scanner │
│ Docker scanner │
└─────────────────┘
Follow the detailed workflow in scan-workflow.md. Summary:
| Step | Action | Gate | Key Reference |
|------|--------|------|---------------|
| 1 | Resolve output dir, detect languages + Pro availability | — | Use Glob, not Bash |
| 2 | Select scan mode + rulesets | — | rulesets.md |
| 3 | Present plan, get explicit approval | ⛔ HARD | AskUserQuestion |
| 4 | Spawn parallel scan Tasks | — | scanner-task-prompt.md |
| 5 | Merge results and report | — | Merge script (below) |
Task enforcement: On invocation, create 5 tasks with blockedBy dependencies (each step blocks the previous). Step 3 is a HARD GATE — mark complete ONLY after user explicitly approves.
Merge command (Step 5):
uv run {baseDir}/scripts/merge_sarif.py $OUTPUT_DIR/raw $OUTPUT_DIR/results/results.sarif
| Agent | Tools | Purpose |
|-------|-------|---------|
| static-analysis:semgrep-scanner | Bash | Executes parallel semgrep scans for a language category |
Use subagent_type: static-analysis:semgrep-scanner in Step 4 when spawning Task subagents.
| Shortcut | Why It's Wrong |
|----------|----------------|
| "User asked for scan, that's approval" | Original request ≠ plan approval. Present plan, use AskUserQuestion, await explicit "yes" |
| "Step 3 task is blocking, just mark complete" | Lying about task status defeats enforcement. Only mark complete after real approval |
| "I already know what they want" | Assumptions cause scanning wrong directories/rulesets. Present plan for verification |
| "Just use default rulesets" | User must see and approve exact rulesets before scan |
| "Add extra rulesets without asking" | Modifying approved list without consent breaks trust |
| "Third-party rulesets are optional" | Trail of Bits, 0xdea, Decurity catch vulnerabilities not in official registry — REQUIRED |
| "Use --config auto" | Sends metrics; less control over rulesets |
| "One Task at a time" | Defeats parallelism; spawn all Tasks together |
| "Pro is too slow, skip --pro" | Cross-file analysis catches 250% more true positives; worth the time |
| "Semgrep handles GitHub URLs natively" | URL handling fails on repos with non-standard YAML; always clone first |
| "Cleanup is optional" | Cloned repos pollute the user's workspace and accumulate across runs |
| "Use . or relative path as target" | Subagents need absolute paths to avoid ambiguity |
| "Let the user pick an output dir later" | Output directory must be resolved at Step 1, before any files are created |
| File | Content |
|------|---------|
| rulesets.md | Complete ruleset catalog and selection algorithm |
| scan-modes.md | Pre/post-filter criteria and jq commands |
| scanner-task-prompt.md | Template for spawning scanner subagents |
| Workflow | Purpose |
|----------|---------|
| scan-workflow.md | Complete 5-step scan execution process |
$OUTPUT_DIRsemgrep command used --metrics=off$OUTPUT_DIR/rulesets.txt$OUTPUT_DIR/raw/results.sarif exists in $OUTPUT_DIR/results/ and is valid JSONraw/$OUTPUT_DIR/repos/Expert in secure backend coding practices specializing in input validation, authentication, and API security. Use PROACTIVELY for backend security implementations or security code reviews.
Expert in secure mobile coding practices specializing in input validation, WebView security, and mobile-specific security patterns. Use PROACTIVELY for mobile security implementations or mobile security code reviews.
Expert in secure frontend coding practices specializing in XSS prevention, output sanitization, and client-side security patterns. Use PROACTIVELY for frontend security implementations or client-side security code reviews.
Security hardening reviewer for GitHub Actions workflow files (.github/workflows/*.yml). Reasons about the Actions threat model that pattern matchers and general code linters miss — untrusted-input script injection, privileged triggers running fork code, mutable action references, and over-scoped tokens. Use this skill when asked to review, audit, harden, or secure a GitHub Actions workflow, when writing a new workflow, or for any request like "is this workflow safe?", "review my CI for security issues", "why is pull_request_target dangerous here?", "pin my actions", or "lock down GITHUB_TOKEN permissions". Covers script injection via ${{ }} interpolation, pull_request_target / workflow_run privilege escalation, SHA-pinning of third-party actions, least-privilege permissions, GITHUB_ENV/GITHUB_OUTPUT injection, secret exposure, OIDC over long-lived credentials, and self-hosted runner exposure on public repositories.
Review a PR, or a PR linked to an issue, for security risks. Check nine categories and report PASS, WARNING, or FAIL. Use when reviewing code for vulnerabilities, secrets, injection, authorization bypasses, or unsafe configuration. Trigger keywords - security review, code review, appsec, vulnerability assessment, security audit, review PR security.
Apply modern web development best practices for security, compatibility, and code quality. Use when asked to "apply best practices", "security audit", "modernize code", "code quality review", or "check for vulnerabilities". Do NOT use for accessibility (use web-accessibility), SEO (use seo), performance (use core-web-vitals), or comprehensive multi-area audits (use web-quality-audit).
Use when the user asks for a deep, exhaustive, multi-pass, or variance-reducing repository-wide or scoped-path Codex Security scan. Run repeated independent discovery passes over one resolved scope with worker-specific threat models, semantically merge candidates, synthesize one canonical validation threat model, then run validation, attack-path analysis, canonical JSON completion, and generated reporting once. Do not use for PRs, commits, branch diffs, or working-tree diffs.
Security best practices for gh-aw workflows and Go code: template injection prevention, shell script security, supply chain hardening, and static analysis integration.
Take trailofbits/semgrep from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.