semgrep

Semgrep Security Scan

Run a Semgrep scan with automatic language detection, parallel execution, and merged SARIF output.

Essential Principles

1. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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

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" |

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.

Important only applies two filter layers:

1. Pre-filter: --severity WARNING --severity ERROR (CLI flag)
2. 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:

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 "

--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

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

Reference Index

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.sh exited 0 and wrote $OUTPUT_DIR/scans.json
• failed and skipped from scans.json are empty, or listed in the report
• 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