semgrep
Runs a Semgrep security scan over a codebase: detects languages, selects rulesets, presents the plan for explicit approval, then runs every approved ruleset through scripts/run-scans.sh, which batches the semgrep processes and writes scans.json, and merges the output to SARIF.
Install / Use
npx skills add trailofbits/skills --skill semgrepInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
SecuritySupported Platforms
Our assessment of semgrep
semgrep scores 96/100 on our quality scale, 141st of 774 Security skills we index (top 19%).
Its SKILL.md is 14 KB long, well organised into 20 sections with 6 code examples: a thorough specification that gives an agent plenty to work with.
With 7,225 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 4 days ago, so semgrep is actively maintained.
- It is released under the CC-BY-SA-4.0 license; check its terms before commercial use.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-09-28. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
semgrep compared with similar skills
All 4 of these similar skills score higher than semgrep; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| semgrep (this skill)by trailofbits | 96 | 7.2k | 4d ago | SKILL.md |
| algorithmic-artby anthropics | 100 | 177.9k | 5d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 5d ago | SKILL.md |
| designby nextlevelbuilder | 100 | 130.2k | 6d ago | SKILL.md |
| ui-ux-pro-maxby nextlevelbuilder | 100 | 130.2k | 6d ago | SKILL.md |
Frequently asked questions
- How do I install semgrep?
- Run
npx skills add trailofbits/skills --skill semgrep. The install tabs above show the steps for each supported agent. - Which AI agents does semgrep work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is semgrep safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is CC-BY-SA-4.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is semgrep still maintained?
- The repository was last updated 4 days ago, so semgrep is actively maintained.
Skill content
View source on GitHubname: semgrep description: >- Runs a Semgrep security scan over a codebase: detects languages, selects rulesets, presents the plan for explicit approval, then runs every approved ruleset through scripts/run-scans.sh, which batches the semgrep processes and writes scans.json, and merges the output to SARIF. Supports two scan modes, "run all" for full ruleset coverage and "important only" for security findings at medium-to-high confidence and impact. Uses Semgrep Pro for cross-file taint analysis when it is available. Use when asked to scan code for vulnerabilities, run a security audit with Semgrep, find bugs, or perform static analysis. For the same scan without the approval gate, use the /static-analysis:semgrep-scan workflow. allowed-tools: Bash Read Glob AskUserQuestion TaskCreate TaskList TaskUpdate
Semgrep 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 --no-project {baseDir}/scripts/merge_sarif.py "$OUTPUT_DIR/raw" "$OUTPUT_DIR/results/results.sarif" \
--scans "$OUTPUT_DIR/scans.json"
# important-only, once the JSON post-filter has run over every file in raw/
uv run --no-project {baseDir}/scripts/merge_sarif.py "$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 enf
Truncated for display — read the full file on GitHub.
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
