sast-lite
Skill13 starsChanged 5 months agoMITView on GitHub
Static security analysis for Python source via AST walking — finds command injection, insecure deserialization, eval/exec, weak crypto, SQL injection, disabled TLS verification, hardcoded secrets and more, each tagged with a CWE. Use when the user asks to "audit this code for vulnerabilities", "run a SAST scan", "security review this Python file", or before merging untrusted code.
In this repository7 other files it gives its agents.
- cors-auditorSkill
- dependency-checkSkill
- dockerfile-scanSkill
- http-sec-auditSkill
- jwt-inspectorSkill
- prompt-injection-testerSkill
- secret-scannerSkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 0 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 63
Run with --json and parse the issue list.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
SAST Lite
An AST-based static analyzer for Python. Instead of fragile regex matching, it
parses each file into an abstract syntax tree and inspects how dangerous APIs
are actually called — so subprocess.run(cmd, shell=True) is flagged while
subprocess.run(["ls"]) is not. No third-party dependencies.
When to use this skill
- "Audit / security-review this Python code."
- "Run a SAST scan on the project."
- Reviewing a PR or untrusted snippet before running it.
- A pre-merge CI gate for security regressions.
What it detects
| Rule | CWE | Severity |
eval() / exec() on dynamic input | CWE-95 | critical/high |
os.system / subprocess(shell=True) | CWE-78 | high |
pickle/marshal deserialization | CWE-502 | high |
yaml.load without SafeLoader | CWE-20 | high |
SQL via f-string / concat / .format / % | CWE-89 | high |
requests(verify=False) | CWE-295 | high |
| Hardcoded password/secret literal | CWE-798 | high |
random used for a token, password, OTP, nonce or salt | CWE-330 | high |
| Weak hash (md5/sha1) | CWE-327 | medium |
tempfile.mktemp | CWE-377 | medium |
Flask(debug=True) | CWE-489 | medium |
Jinja2 autoescape=False | CWE-79 | medium |
assert used for a security check | CWE-617 | medium |
How to run it
# Scan a directory
python skills/sast-lite/analyzer.py src/
# JSON for tooling / CI
python skills/sast-lite/analyzer.py . --json
# Only show high+ severity
python skills/sast-lite/analyzer.py . --min-severity highExit codes: 0 clean · 1 issues found · 2 usage/parse error — ready
for CI gating.
Recommended workflow for Claude
- Run with
--jsonand parse the issue list. - For each issue, open
path:lineand confirm the data flow is genuinely attacker-controllable (the analyzer is intra-procedural, so it may flag patterns that are safe in context). - Propose a concrete fix per finding — e.g. parameterized queries for
py.sql-injection,yaml.safe_loadforpy.yaml-load, list-formsubprocesscalls forpy.subprocess-shell. - Summarize by severity and CWE.
Limitations
This is a lite analyzer: single-file, no cross-function taint tracking. It is designed for fast, high-signal triage — not a replacement for a full SAST suite. Treat findings as leads to verify, not automatic verdicts.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

