
Semgrep Security Scan
FreeAutomate security scanning for codebases with Semgrep.
Free · Opens the source repo
What Semgrep Security Scan does
Semgrep Security Scan is a tool designed for developers and security professionals to automate the process of scanning codebases for vulnerabilities. By leveraging the Semgrep engine, this skill automatically detects programming languages, selects appropriate rulesets, and presents a detailed scan plan for user approval before executing the scans. This ensures that the scanning process is both thorough and transparent, allowing users to understand exactly what will be scanned and how.
The skill operates through a series of structured steps, starting with language detection and ruleset selection. Users are required to approve the scan plan, which includes the selected rulesets and the scanning mode, before any scans are executed. This hard approval gate is crucial for maintaining control over the scanning process and ensuring that only the desired checks are performed. The skill supports two distinct scan modes: "run all" for comprehensive coverage and "important only" for focused security findings, allowing users to tailor the scan to their specific needs.
Once the scan plan is approved, the skill utilizes a bash script to manage the execution of multiple Semgrep processes in parallel, optimizing performance and efficiency. The output is organized into a structured directory, including detailed reports on what was scanned, any failures, and the final merged results in SARIF format. This structured output makes it easy for users to review the findings and integrate them into their development workflow.
Semgrep Security Scan is particularly beneficial for teams looking to conduct security audits, identify vulnerabilities prior to code reviews, or perform static analysis on their codebases. By automating these processes, it helps developers maintain high security standards without the overhead of manual scanning.
When to use it
Use this skill when you need to perform a security audit of a codebase, find vulnerabilities before code review, or conduct static analysis for known bug patterns.
When not to use it
This skill is not suitable for binary analysis or if you already have Semgrep CI configured. If you need to create custom Semgrep rules or port existing rules to other languages, consider using dedicated tools for those tasks.
What you can build with it
Conducting a Security Audit
Use this skill to perform a thorough security audit of your codebase, identifying potential vulnerabilities before they can be exploited.
Pre-Code Review Vulnerability Check
Run this skill to find and address vulnerabilities in your code before submitting it for review, ensuring a higher quality submission.
Static Analysis for Bug Patterns
Leverage this skill for static analysis to detect known bug patterns in your code, improving overall code quality.
How to install Semgrep Security Scan
View source1. Install with the skills CLI
npx skills add trailofbits/skills/semgrep --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by trailofbitsSemgrep Security Scan
Run a Semgrep scan with automatic language detection, parallel execution, and merged SARIF output.
Essential Principles
- Always use
--metrics=off— Semgrep sends telemetry by default;--config autoalso phones home. Everysemgrepcommand must include--metrics=offto prevent data leakage during security audits. - User must approve the scan plan (Step 3 is a hard gate) — The original "scan this codebase" request is NOT approval. Present exact rulesets, target, engine, and mode; wait for explicit "yes"/"proceed" before spawning scanners.
- Third-party rulesets are required, not optional — Trail of Bits, 0xdea, and Decurity rules catch vulnerabilities absent from the official registry. Include them whenever the detected language matches.
scripts/run-scans.shgenerates the commands; do not write them yourself — it builds everysemgrepline from the approved list. That is what makes--metrics=off, the--includescoping rule, and the parallel dispatch properties of the code rather than instructions. Give it the approved rulesets and let it run.- Always check for Semgrep Pro before scanning — Pro enables cross-file taint tracking and catches ~250% more true positives. Skipping the check means silently missing critical inter-file vulnerabilities.
- Report what did not run —
scans.jsoncarriesfailedandskippedalongsidescans. A ruleset whose repo would not clone, or whose scan exited non-zero, must appear in the report. A partial scan presented as a complete one is worse than no scan.
When to Use
- Security audit of a codebase
- Finding vulnerabilities before code review
- Scanning for known bug patterns
- First-pass static analysis
When NOT to Use
- Binary analysis → Use binary analysis tools
- Already have Semgrep CI configured → Use existing pipeline
- Need cross-file analysis but no Pro license → Consider CodeQL as alternative
- Creating custom Semgrep rules → Use
semgrep-rule-creatorskill - Porting existing rules to other languages → Use
semgrep-rule-variant-creatorskill
Output Directory
All scan results, SARIF files, and temporary data are stored in a single output directory.
- If the user specifies an output directory in their prompt, use it as
OUTPUT_DIR. - If not specified, default to
./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.
$OUTPUT_DIR/
├── rulesets.json # The approved plan (Step 3), read by run-scans.sh (Step 4)
├── scans.json # What ran, failed, skipped, and covered nothing (Step 4)
├── raw/ # Per-scan raw output (unfiltered)
│ ├── python-python.json # <language>-<ruleset> for language-scoped rules
│ ├── python-python.sarif
│ ├── python-django.json
│ ├── python-django.sarif
│ ├── all-security-audit.json # all-<ruleset> for cross-language rules, run once
│ ├── all-security-audit.sarif
│ └── ...
└── results/ # Final merged output
└── results.sarif
Prerequisites
Required: Semgrep CLI (semgrep --version). If not installed, see Semgrep installation docs.
Optional: Semgrep Pro — enables cross-file taint tracking, inter-procedural analysis, and additional languages (Apex, C#, Elixir). Check with:
# --metrics=off because Principle 1 has no exceptions, and this is the first semgrep command
# of a run. stderr is kept because "OSS only" has several causes (logged out, no subscription,
# registry blocked) and the run downgrades silently for all of them.
if PRO_ERR=$(semgrep --pro --validate --metrics=off --config p/default 2>&1); then
echo "Pro available"
else
echo "OSS only"
echo " reason: $(printf '%s' "$PRO_ERR" | tail -n 3)"
fi
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).
Scan Modes
Select mode in Step 2. Mode affects both the scan 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:
- Pre-filter:
--severity WARNING --severity ERROR(CLI flag) - Post-filter: JSON metadata — keeps only
category=security,confidence∈{MEDIUM,HIGH},impact∈{MEDIUM,HIGH}
See scan-modes.md for metadata criteria and jq filter commands.
Orchestration Architecture
┌──────────────────────────────────────────────────────────────────┐
│ MAIN SESSION (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: Run scripts/run-scans.sh with the approved rulesets │
│ Step 5: Post-filter, merge, report, delete repos/ │
└──────────────────────────────────────────────────────────────────┘
│ Step 4: Bash
▼
┌──────────────────────────────────────────────────────────────────┐
│ scripts/run-scans.sh │
│ clone each third-party repo once, into repos/ │
│ generate one semgrep command per ruleset │
│ ├── python p/python, p/django --include=*.py│
│ ├── javascript p/javascript --include=*.js│
│ ├── docker p/dockerfile │
│ └── cross-language p/security-audit, p/secrets, │
│ the cloned repos (no filter) │
│ run in batches of --jobs, exit code read per process │
│ write scans.json — scans, failed, skipped │
└──────────────────────────────────────────────────────────────────┘
The approval gate stays in the session; the script is execution only and asks nothing. The approved list reaches it as a JSON file, so the scan cannot reach a ruleset the user declined.
Cross-language rulesets go in one shared unit rather than being repeated per language.
p/security-audit, p/secrets, and the third-party repos scan the whole target unscoped,
so running them once per language ran the identical command N times and left the SARIF
merge to dedup the copies.
Running it as a Workflow
This plugin ships /static-analysis:semgrep-scan, which runs the whole scan end to end:
detect languages and Pro, select rulesets from rulesets.md, run
scripts/run-scans.sh, merge and report. Pass it a JSON object, not prose:
/static-analysis:semgrep-scan {"target": "/abs/path", "mode": "run-all"}
It does not stop for ruleset approval. Invoking it with a target is the opt-in, the same
way /variant-analysis:variants works. That is safe to do because the scan is read-only over
the target — no --autofix, every write inside the output directory — so the approval gate
below is a scope confirmation rather than a safety one. What ran is recorded in
rulesets.json and scans.json either way.
Use the workflow when you want the scan run; work the five steps below when the ruleset selection itself matters and you want to see and edit the list first.
Workflow
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 | Run the scans | — | scripts/run-scans.sh |
| 5 | Post-filter, merge, report, clean up | — | 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):
# run-all
uv run {baseDir}/scripts/merge_sarif.py "$OUTPUT_DIR/raw" "$OUTPUT_DIR/results/results.sarif" \
--scans "$OUTPUT_DIR/scans.json"
# important-only, once the JSON post-filter has run over every file in raw/
uv run {baseDir}/scripts/merge_sarif.py "$OUTPUT_DIR/raw" "$OUTPUT_DIR/results/results.sarif" \
--important --scans "$OUTPUT_DIR/scans.json"
--scans drops the output of scans listed under .failed. A scan that died part-way may still
have written a .sarif, and under --important that file has no post-filter beside it, which is
an error rather than an empty filter. Without the flag one dead scan denies every healthy scan a
merged result. The excluded files are named on stdout, so they can go in the report.
The post-filter reads metadata SARIF does not carry, so it cannot be re-run against the merged
file; --important instead keeps the findings the JSON filter kept, matched on
(rule, file, line). Without it results.sarif is unfiltered while the JSON side is not.
Workflow and agents
| Component | Purpose |
|---|---|
scripts/run-scans.sh | Builds every scan command from the approved rulesets, runs them in batches, and writes scans.json |
Step 4 is a Bash call. No subagent runs any part of the scan: exit codes and finding counts are read from the processes and the JSON they wrote.
Rationalizations to Reject
| 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 |
| "I'll just run the semgrep commands myself" | run-scans.sh is what enforces --metrics=off, the --include rule and the output-directory --exclude. Hand-written commands drop them silently |
| "The script failed, I'll run semgrep directly to get something" | A non-zero exit means no scan succeeded. Report that and stop; a hand-run subset reads as a full scan |
| "Some scans failed, the run still finished" | failed and skipped are part of scans.json. Report them or the user reads a partial scan as a clean one |
| "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 |
Reference Index
| File | Content |
|---|---|
| rulesets.md | Complete ruleset catalog and selection algorithm |
| scan-modes.md | Pre/post-filter criteria and jq commands |
| Workflow | Purpose |
|---|---|
| scan-workflow.md | Complete 5-step scan execution process |
scripts/run-scans.sh | The scan runner Step 4 calls |
Success Criteria
- Output directory resolved (user-specified or auto-incremented default)
- All generated files stored inside
$OUTPUT_DIR - Languages detected with file counts; Pro status checked
- Scan mode selected by user (run all / important only)
- Rulesets include third-party rules for all detected languages
- User explicitly approved the scan plan (Step 3 gate passed)
-
run-scans.shexited 0 and wrote$OUTPUT_DIR/scans.json -
failedandskippedfromscans.jsonare empty, or listed in the report - Every
semgrepcommand used--metrics=off - Approved plan written to
$OUTPUT_DIR/rulesets.jsonat the Step 3 gate, and passed to the scanner unchanged -
coveredNothingfromscans.jsonis empty, or listed in the report - Raw per-scan outputs stored in
$OUTPUT_DIR/raw/ -
results.sarifexists in$OUTPUT_DIR/results/and is valid JSON - Important-only mode: post-filter applied before merge, merge run with
--important, unfiltered results preserved inraw/ - Results summary reported with severity and category breakdown
- Cloned repos (if any) cleaned up from
$OUTPUT_DIR/repos/
Frequently asked questions about Semgrep Security Scan
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