vulnerability-scanner
Skill1 starsChanged 5 months agoApache-2.0View on GitHub
Runs automated vulnerability scans on codebases, dependencies, and containers. Use when auditing security before deployment or after adding new dependencies.
16 other projects use a version of this.
Adopted by
Most recently taken up by
- ahmedibm9-cyber/VibeGuardtheir own version, first seen Oct 20, 2026
- sid-lakhani/agents-configtheir own version, first seen Oct 20, 2026
- xfstudio/skillstheir own version, first seen Oct 13, 2026
- Tgoldi/claude-skillstheir own version, first seen Oct 13, 2026
- xenitV1/Antigravity-Workflowstheir own version, first seen Oct 8, 2026
- vudovn/ag-kittheir own version, first seen Oct 8, 2026
Used with
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Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
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Also in 3 projects that use this
Other versions16 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 16
- vudovn/ag-kit★ 8.2ksame name
- vudovn/antigravity-kit★ 8.2ksame name
- xenitV1/Antigravity-Workflows★ 130same name
- VoDaiLocz/kilo-kit-mcp★ 28same name
- soumatheusgomes/agentville★ 9same name
- xfstudio/skills★ 9same name
- SKB3002/agenthub★ 4same name
- Adhamxon/claude-code-skills★ 2same name
- ai4brands-design/claude-skills★ 2same name
- bcastelino/agent-skills-kit★ 2same name
6 more not listed
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.
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The file
We split this skill into the rules it gives an agent
5 rules. 0 are common, 4 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 16 edited versions we read keep these.
4
Distinctive
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
- Distinctive: line 19
Before merging or deploying code that touches dependencies or infrastructure.
- Distinctive: line 20
After adding or updating third-party packages.
- Very specific: line 72
False positives: Document how to suppress with justification (.snyk policy, # nosec, etc.).
- Distinctive: line 74
No internet in CI: Use local vulnerability DBs or cached scans where possible.
- Distinctive: line 78
Run the scanner(s) on the current codebase — results are produced.
“Common” is measured: kept by at least 6 in 10 of the 16 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Overview
Runs and interprets automated vulnerability scans across code (SAST), dependencies (SCA), containers/images, and infrastructure. Covers tool selection (Snyk, Trivy, Bandit, npm/pip audit, OWASP Dependency-Check, Semgrep), command reference, output interpretation, CVSS severity, remediation priority, CI integration, and a pre-deploy security gate workflow.
When to Use This Skill
- Before merging or deploying code that touches dependencies or infrastructure.
- After adding or updating third-party packages.
- As part of regular security hygiene or compliance prep.
- The user mentions "scan for vulnerabilities", "security audit", "CVE", or "Snyk/Trivy".
Prerequisites
- The codebase or container image to scan.
- Tools installed or available via Docker (Trivy, etc.).
- (Recommended) CI pipeline to run scans on every PR and on main.
Steps
- Choose the right tool(s) for the target:
- Dependencies (SCA): Snyk,
npm audit,pip-audit,cargo audit, OWASP Dependency-Check. - Code (SAST): Semgrep, Bandit (Python),
gosec(Go), SonarQube, CodeQL. - Containers / IaC: Trivy (images + Terraform/K8s), Checkov, Terrascan.
- Secrets: gitleaks, truffleHog (see
secret-detectorskill).
- Dependencies (SCA): Snyk,
- Run the scan (examples):
trivy image myapp:latestsnyk test(aftersnyk auth)bandit -r src/npm audit --audit-level=moderate
- Interpret results:
- CVSS 3.x / 4.0 scoring (Critical 9.0-10, High 7.0-8.9, etc.).
- Reachability / exploitability (Snyk and some tools show this).
- False positive filtering (common in SAST).
- Prioritize remediation:
- Critical/High with known exploits in your environment → immediate.
- Medium → within sprint or before next release.
- Low → backlog or accept with justification.
- CI integration:
- Fail the build on Critical/High (configurable threshold).
- Upload reports as artifacts.
- Comment on PRs with findings (or use Snyk PR checks).
- Output:
- Exact commands for the languages/tools in the project.
- Sample output + how to read it.
- Recommended CI step (GitHub Action example).
- Remediation workflow (how to fix a vulnerable dependency safely).
- Policy: "No Critical or High in main".
Examples
Full commands + GitHub Actions job for a typical Node + Python + Docker project using Trivy + Snyk + Bandit, with severity thresholds and artifact upload, plus a sample remediation PR description are included.
Edge Cases & Error Handling
- False positives: Document how to suppress with justification (
.snykpolicy,# nosec, etc.). - Transitive dependencies: Tools usually surface them; focus on direct where possible.
- No internet in CI: Use local vulnerability DBs or cached scans where possible.
Verification
- Run the scanner(s) on the current codebase — results are produced.
- CI job fails (or warns) on injected high-severity issues.
- A known vulnerable dependency is detected and a fix PR is created.
- Reports are attached to the build for audit.
- Success: Critical and High vulnerabilities are caught before they reach production, and the team has a clear process to remediate.
References
Does it work?
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