Download plugins/static-analysis/skills/semgrep/SKILL.md from the publisher, or copy the path and open the repository. PlugMCP lists the skill and does not host the file.
Where does semgrep live?
The publisher keeps it at https://github.com/trailofbits/skills.
Which agents can use semgrep?
Claude, Cursor, and Codex can read a SKILL.md you add from the publisher's repository.
>-
name: 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 auto also phones home. Every semgrep command must include --metrics=off to 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.sh generates the commands; do not write them yourself — it builds every semgrep line from the approved list. That is what makes --metrics=off, the --include scoping 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.json carries failed and skipped alongside scans. 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-creator skill
Porting existing rules to other languages → Use semgrep-rule-variant-creator skill
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.
$OUTPUT_DIR/
├── rulesets.json # The approved plan (Step 3), read by run-scans.sh (Step 4)
├── scans.json # What ran, failed, skipped, and covered nothing (Step 4)
├── raw/ # Per-scan raw output (unfiltered)
│ ├── python-python.json # <language>-<ruleset> for language-scoped rules
│ ├── python-python.sarif
│ ├── python-django.json
│ ├── python-django.sarif
│ ├── all-security-audit.json # all-<ruleset> for cross-language rules, run once
│ ├── all-security-audit.sarif
│ └── ...
└── results/ # Final merged output
└── results.sarif
Optional: Semgrep Pro — enables cross-file taint tracking, inter-procedural analysis, and additional languages (Apex, C#, Elixir). Check with:
# --metrics=off because Principle 1 has no exceptions, and this is the first semgrep command
# of a run. stderr is kept because "OSS only" has several causes (logged out, no subscription,
# registry blocked) and the run downgrades silently for all of them.
if PRO_ERR=$(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.
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:
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.
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 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
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.sh exited 0 and wrote $OUTPUT_DIR/scans.json
failed and skipped from scans.json are empty, or listed in the report
Scans marked partial in scans.json are none, or listed in the report — they ran with some of their rules failing to compile
Every semgrep command used --metrics=off
Approved plan written to $OUTPUT_DIR/rulesets.json at the Step 3 gate, and passed to
the scanner unchanged
coveredNothing from scans.json is empty, or listed in the report
oversized from scans.json is empty, or listed in the report — those files exceed
--max-target-bytes and no ruleset opened them
Raw per-scan outputs stored in $OUTPUT_DIR/raw/
results.sarif exists in $OUTPUT_DIR/results/ and is valid JSON
Important-only mode: post-filter applied before merge, merge run with --important, unfiltered results preserved in raw/
Results summary reported with severity and category breakdown
Cloned repos (if any) cleaned up from $OUTPUT_DIR/repos/
How do I install semgrep?
Download plugins/static-analysis/skills/semgrep/SKILL.md from the publisher, or copy the path and open the repository. PlugMCP lists the skill and does not host the file.
Where does semgrep live?
The publisher keeps it at https://github.com/trailofbits/skills.
Which agents can use semgrep?
Claude, Cursor, and Codex can read a SKILL.md you add from the publisher's repository.