sast
Skill1 starsChanged 43 days ago0BSDView on GitHub
This skill covers free and open-source local static analysis, linting, secret scanning, dependency scanning, and IaC scanning tools as of October 2026: ruff, bandit, opengrep, semgrep CE, gosec, staticcheck, golangci-lint, ESLint v10, oxlint, biome, gitleaks, trufflehog, detect-secrets, osv-scanner, trivy, grype, syft, cargo-audit, cargo-deny, checkov, hadolint, kube-linter, conftest, shellcheck, shfmt, codeql CLI, zizmor, and meta runners like pre-commit and MegaLinter. Use it when picking a scanner, wiring pre-commit or CI gates, or auditing a repo locally.
2 other projects use a version of this.
Adopted by
Most recently taken up by
- zyphr-labs/bounty-harnesstheir own version, first seen Aug 26, 2026
- H-mmer/pentest-agentstheir own version, first seen May 6, 2026
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 2
- H-mmer/pentest-agents★ 815same name
- zyphr-labs/bounty-harness★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository75 other files it gives its agents.
- AGENTS.mdAGENTS.md
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- The first 60 shown.
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 25
Read this file for the landscape and decision rules.
- Distinctive: line 33
Verify versions against the linked release pages.
≈ “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
When to use this skill
- You are picking a linter or SAST tool for a language.
- You are scanning a repo for secrets, vulnerable deps, or bad IaC.
- You are building a pre-commit or CI scanning gate.
- You need to know which tools run fully offline vs need a DB or registry.
How to use
- Read this file for the landscape and decision rules.
- Load a reference file by scope: references/python.md for ruff, bandit, and the Python type-checker wars. references/scanners.md for secrets, SCA, IaC, shell, Rust, Go, and JS tools with versions and offline notes. references/multi.md for opengrep vs semgrep, codeql licensing, SonarQube, MegaLinter, and pre-commit glue.
- Verify versions against the linked release pages. These tools ship weekly.
Examples
- "Which tools should gate this repo's pre-commit?"
- "Semgrep or opengrep for a self-hosted scan?"
- "Scan this Dockerfile and the k8s manifests locally."
Local security tooling landscape
Decision rules
- Python: ruff (
Srules port most of bandit) + a type checker (basedpyright or pyrefly stable, ty beta, mypy 2.x). Bandit is redundant if ruffSis on. - Multi-language SAST: opengrep (LGPL, fully offline with local rules, cross-function taint, cross-file in v2 alphas) or semgrep CE (registry rules need network and are under a restrictive license).
- Go: go vet + staticcheck + gosec + govulncheck (reachability cuts false positives). golangci-lint v2.x wraps most of them.
- JS/TS: ESLint v10 (flat config only) or oxlint (type-aware via tsgolint on TypeScript 7). Biome if you want one binary for lint + format.
- Secrets: gitleaks for offline speed (feature-frozen, fine), trufflehog when you need live verification (AGPL, needs network to verify), detect-secrets for baseline workflows.
- Dependencies: osv-scanner (offline DB mode) or trivy fs/repo. npm audit alone is a floor, not a strategy. govulncheck and reach- ability analysis remove ~85% of SCA noise.
- IaC: checkov (Terraform/K8s/Helm/Dockerfile), trivy config (tfsec is absorbed), KICS for breadth. Terrascan is archived.
- Containers: hadolint for Dockerfiles, trivy image or grype for contents, kube-linter for manifests/Helm.
- Shell: shellcheck + shfmt.
- CI security: zizmor for GitHub Actions (offline mode, SARIF).
- Orchestration: pre-commit for local gates, MegaLinter for CI fan-out (v10.x, images only on ghcr.io since v9.5).
- CodeQL: deep but the engine is proprietary - free only for public repos, OSS research, and query testing. Not for private CI without GitHub Code Security.
Output plumbing
Most tools emit SARIF (ruff --output-format=sarif, gosec -fmt
sarif, opengrep, zizmor, trivy, checkov). Pipe SARIF into GitHub code
scanning or a local aggregator. --baseline mechanisms exist in
detect-secrets and gitleaks for legacy-repo adoption.
Reference files
- references/python.md
- references/scanners.md
- references/multi.md
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.

