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SAST Configuration Kit
It doesn't just "turn on" security; it builds a sustainable workflow that developers actually trust.
$7
SAST Configuration Kit
Example session with this skill installed
We added Semgrep with --config auto to GitHub Actions on our Django + React monorepo. It fails every PR on about 400 existing findings, so developers now merge with admin override. Can you fix the setup?
- Read your context and instructions
- Compiled the sast configuration kit
- Generated the document
Mode: TUNE. The scanner has lost trust because it gates on legacy findings and on every severity. Baseline first, then narrow the rules.
| ID | Problem | Evidence | Effect | Fix | Effort |
|---|---|---|---|---|---|
| T1 | No baseline on a legacy repo | ~400 existing findings fail every PR | 5 | Scan only changes vs main | 1 |
| T2 | Blocks on all severities | Admin overrides are routine | 4 | Block ERROR only, report the rest | 1 |
| T3 | Broad --config auto | Mixed-signal rules | 3 | Use p/django, p/react, p/secrets | 2 |
| T4 | No suppression policy | Unknown | 2 | nosemgrep requires a reason and owner | 2 |
Sorted by Effect² / Effort. Top 3: T1, T2, T3.
- uses: actions/checkout@v4
with: { fetch-depth: 0 }
- run: pip install semgrep
- run: >
semgrep scan --config p/django --config p/react --config p/secrets
--baseline-commit origin/main --severity ERROR --error
The one change that restores trust: T1. Once only newly introduced issues fail a PR, the override habit has no reason to exist.
Residual risk: SAST does not see runtime behaviour or most business-logic flaws such as broken authorization between tenants. A green check is not a security review.
Next steps
- Remove admin override on the Semgrep check once T1 is merged.
- Export the 400 baseline findings and burn down secrets and injection first.
- Add a weekly full scan without the baseline flag.
sast-configuration-kit.pdf
PDF · document
Example file from a real run - the skill writes it into your workspace.
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What you get
About this skill
Turn Static Analysis from a Nuisance into a Security Asset
Most AI agents can run a linter, but they often leave you with hundreds of false positives that your developers will ignore. This skill transforms your agent into a seasoned DevSecOps engineer who specializes in high-signal SAST (Static Application Security Testing) architecture. It doesn't just "turn on" security; it builds a sustainable workflow that developers actually trust.
What it does
- Intelligent Tooling: Evaluates your stack and CI/CD environment to select the right tool—whether it's Semgrep for speed, CodeQL for deep dataflow analysis, or SonarQube for quality dashboards.
- High-Signal Configuration: Drafts language-specific rulesets and custom exclusions to ensure the engine only flags actionable security vulnerabilities like injection, SSRF, or hardcoded secrets.
- CI Integrated Gates: Configures GitHub Actions, GitLab CI, or Jenkins to block PRs on new critical issues while using "baseline-then-ratchet" strategies for legacy codebases.
- Noise Reduction (TUNE Mode): Audits existing, noisy scanners to suppress false positives and re-calibrate severity rankings.
Why use this skill?
Unlike a basic prompt, this skill understands the social and technical friction of security tooling. It prioritizes signal-over-coverage, ensuring your security gates don't become a bottleneck. It provides ready-to-commit CI YAML and configuration files rather than generic advice.
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- 1
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- 3
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