sast
SkillFiles & storageSource code vulnerability hunting (SAST). Decomposes analysis into specialized passes: map entry points, map dangerous ops, trace flows, find gaps, adversarial validation, exploit. Usage: /sast <repo_path> [--lang c|cpp|rust|java|python|go|php] [--min-score 4] [--max-files 30] [--skip-static] [--best-of N]
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the sast skill
What this skill tells your AI
The instructions your AI receives, as published by h-mmer/pentest-agents in .claude/skills/sast/SKILL.md and read by ahel’s review.
Source code hunt on: $ARGUMENTS
ALL agents dispatched by this command MUST use model: "inherit" in the Agent tool call,
EXCEPT sast-flow-tracer and sast-gap-analyzer which MUST use model: "opus" (these
require cross-file reasoning that benefits from maximum reasoning depth regardless of
what the orchestrator inherits).
Read rules/hunting.md FIRST. Rules 0, 2, 9, 14 apply to SAST. Read skills/sast-methodology/SKILL.md for reference.
Why This Pipeline Exists
A single agent asked to "find vulnerabilities" will hallucinate plausible-looking bugs. This pipeline decomposes the task into focused steps:
- Reading code and listing entry points → comprehension task
- Listing dangerous operations → pattern matching task
- Connecting entry points to dangerous ops → cross-file reasoning (pinned opus)
- Finding validation gaps in those connections → focused analysis (pinned opus)
- Disproving each candidate → adversarial checking
- Building PoC for survivors → targeted coding
The synthesis happens through the PIPELINE, not inside one agent's head.
Phase 0: Setup
- Parse args:
<repo_path>,--lang(auto-detect),--min-score(default 4),--max-files(default 30),--skip-static(skip CodeQL/Semgrep),--best-of N(run N independent hunters on top files, default 1) ls <repo_path>/- Auto-detect language:
find <repo_path> \( -name '*.c' -o -name '*.cpp' -o -name '*.h' -o -name '*.rs' -o -name '*.java' -o -name '*.py' -o -name '*.go' -o -name '*.php' -o -name '*.phtml' -o -name '*.inc' \) | head -20 - Check build:
ls <repo_path>/{Makefile,CMakeLists.txt,Cargo.toml,pom.xml,go.mod,composer.json} 2>/dev/null - Brain:
uv run python3 $CLAUDE_PROJECT_DIR/tools/brain.py brief sast-<repo_name> - Create output dirs:
mkdir -p findings/sast poc/sast/exploits sast-work/
Phase 1: Build + Static Analysis
1a: Build with sanitizers (best-effort, C/C++/Rust/Go only)
cd <repo_path>
export CC="gcc" CFLAGS="-fsanitize=address,undefined -g -O1 -fno-omit-frame-pointer"
export CXX="g++" CXXFLAGS="$CFLAGS"
If build fails → log and continue. Code review still works.
Skip 1a for PHP/Python/Java — no native sanitizers. For PHP, ensure php --version works and, if composer.json exists, run composer install --no-dev best-effort for autoload/deps.
1b: Static analysis (unless --skip-static)
Run available tools and collect warnings:
# C/C++
cppcheck --enable=all --xml <repo_path> 2> sast-work/cppcheck.xml
# Universal
semgrep --config auto <repo_path> -o sast-work/semgrep.json --json
# PHP (run these when --lang php or .php files detected)
semgrep --config p/php --config p/security-audit <repo_path> -o sast-work/semgrep-php.json --json
psalm --taint-analysis --output-format=json <repo_path> > sast-work/psalm.json 2>/dev/null || true
phpstan analyse --level=max --error-format=json <repo_path> > sast-work/phpstan.json 2>/dev/null || true
Parse into sast-work/static-warnings.json.
These feed into Phase 3d as additional candidates.
Phase 2: File Ranking
Dispatch sast-file-ranker agent (model: inherit):
- Input: repo path, language, build info
- Output:
sast-rankings.json
Phase 3: Decomposed Analysis (per scored file)
For each file scoring >= --min-score, starting from highest:
3a: Entry Point Mapping
Dispatch sast-entry-mapper agent (model: inherit):
- Output:
sast-work/<file_hash>-entries.json
3b: Dangerous Operation Mapping
Dispatch sast-danger-mapper agent (model: inherit):
- Output:
sast-work/<file_hash>-dangers.json
3c: Data Flow Tracing
Dispatch sast-flow-tracer agent (model: opus):
- Input: entries + dangers + source + headers
- Output:
sast-work/<file_hash>-flows.json
3d: Gap Analysis
Dispatch sast-gap-analyzer agent (model: opus):
- Input: flows + static-warnings (if relevant)
- Output:
sast-work/<file_hash>-candidates.json
3e: Brain update
uv run python3 $CLAUDE_PROJECT_DIR/tools/brain.py record sast-<repo_name> analyzed "<file>" "entries: N, dangers: N, flows: N, candidates: N"
Phase 4: Adversarial Validation
For each candidate:
Dispatch sast-devils-advocate agent (model: inherit):
- Verdict: SURVIVES / KILLED (with reason)
Phase 5: PoC Confirmation
For each survivor:
Dispatch sast-hunter agent (model: inherit) in focused mode:
- Receives the specific candidate with full context
- Writes PoC, runs with ASan (C/C++/Rust/Go) OR PHP runtime/HTTP request (PHP) OR interpreter (Python/Java)
- Verdict: CONFIRMED / REJECTED
Best-of-N (if --best-of > 1)
For score-5 files, run N independent instances. Finding in 2+ runs = real. Finding in 1 run = flag for review.
Phase 6: Exploit Development (confirmed, severity >= medium)
Dispatch sast-exploit-builder agent (model: inherit):
- Tier 1-5 exploitation ladder
- Output:
poc/sast/exploits/
Phase 7: Document
Record to brain, write to findings/sast/, print summary.
Output
SAST HUNT: <repo_name> (decomposed pipeline)
══════════════════════════════════════════════
Static warnings: N | Files ranked: N (huntable: N)
Entry points: N | Dangerous ops: N | Reachable flows: N | Candidates: N
Devil's advocate: N survived / N killed
ASan confirmed: N | Exploit tiers: ...
CONFIRMED:
1. [CRITICAL] <title> — <file>:<line>
Flow: <entry> → <gap> → <dangerous op>
HALLUCINATIONS CAUGHT (saved by devil's advocate):
- <candidate> — killed: <reason>
Cost: $X.XX | Agents: N
Cost Awareness
4-6 agents per file, two using Opus. Budget ~$0.50-2.00/file. 30 files ≈ $15-60. Adjust --min-score and --max-files accordingly.
Top-Tier SAST Operator Addendum
Make source review adversarial and evidence-bound.
- Rank by exploit reachability, not scary APIs. Entry point plus attacker control plus missing guard plus dangerous sink beats isolated
exec,eval, or deserializer references. - For every candidate, require a concrete flow: source, transformations, authorization checks, validation gaps, sink, and trigger conditions.
- Read tests and recent security patches. Regression tests often show the intended invariant; patch diffs show the bug shape.
- Use static tools as lead generators only. A finding survives when the repo can be built or minimally exercised and the PoC hits the vulnerable path.
- Maintain a killed-candidate list with reasons: unreachable, sanitized, auth required, type impossible, dead code, framework guard, version mismatch.
- For memory-unsafe code, prefer sanitizer-confirmed crashes with minimized inputs. For web code, prefer request-level PoCs. For supply-chain or CI, prove the workflow trigger and trust boundary.
- Stop when marginal files are low-value. Raise
--min-scorerather than spending Opus on glue code.
Signals
- GitHub stars
- 908
- Forks
- 169
- Last commit
- Jun 2026
Advanced
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sast-h-mmer- Source
- github.com/h-mmer/pentest-agents