Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/ancoleman/ai-design-components/managing-vulnerabilitiesnpx skills add ancoleman/ai-design-components --skill managing-vulnerabilitiesgit clone --depth 1 https://github.com/ancoleman/ai-design-componentsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ancoleman/ai-design-components/managing-vulnerabilities)<a href="https://agentmods.dev/skills/ancoleman/ai-design-components/managing-vulnerabilities"><img src="https://agentmods.dev/badge/skills/ancoleman/ai-design-components/managing-vulnerabilities.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00060 | $0.03744 |
| Opus 5 | $0.00030 | $0.01872 |
| Sonnet 5 | $0.00012 | $0.00749 |
| Haiku 4.5 | $0.00006 | $0.00374 |
Grade A, and why
managing-vulnerabilities scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 479 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Vulnerability Management
Implement comprehensive vulnerability detection and remediation workflows across containers, source code, dependencies, and running applications. This skill covers multi-layer scanning strategies, SBOM generation (CycloneDX and SPDX), risk-based prioritization using CVSS/EPSS/KEV, and CI/CD security gate patterns.
When to Use This Skill
Invoke this skill when:
- Building security scanning into CI/CD pipelines
- Generating Software Bills of Materials (SBOMs) for compliance
- Prioritizing vulnerability remediation using risk-based approaches
- Implementing security gates (fail builds on critical vulnerabilities)
- Scanning container images before deployment
- Detecting secrets, misconfigurations, or code vulnerabilities
- Establishing DevSecOps practices and automation
- Meeting regulatory requirements (SBOM mandates, Executive Order 14028)
Multi-Layer Scanning Strategy
Vulnerability management requires scanning at multiple layers. Each layer detects different types of security issues.
Layer Overview
Container Image Scanning
- Detects vulnerabilities in OS packages, language dependencies, and binaries
- Tools: Trivy (comprehensive), Grype (accuracy-focused), Snyk Container (commercial)
- When: Every container build, base image selection, registry admission control
SAST (Static Application Security Testing)
- Analyzes source code for security flaws before runtime
- Tools: Semgrep (fast, semantic), Snyk Code (developer-first), SonarQube (enterprise)
- When: Every commit, PR checks, main branch protection
DAST (Dynamic Application Security Testing)
- Tests running applications for vulnerabilities (black-box testing)
- Tools: OWASP ZAP (open-source), StackHawk (CI/CD native), Burp Suite (manual + automated)
- When: Staging environment testing, API validation, authentication testing
SCA (Software Composition Analysis)
- Analyzes third-party dependencies for known vulnerabilities
- Tools: Dependabot (GitHub native), Renovate (advanced), Snyk Open Source (commercial)
- When: Every build, dependency updates, license audits
What ships with it
14 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- examples/ci-cd/github-actions-multi-stage.yml 6.5 KB
- examples/prioritization/epss-integration.py 7.1 KB runs code
- examples/prioritization/kev-checker.py 8.9 KB runs code
- examples/trivy/basic-scan.sh 1.9 KB runs code
- examples/trivy/github-actions.yml 3.7 KB
- examples/trivy/sbom-generation.sh 1.7 KB runs code
- outputs.yaml 6.4 KB
- references/ci-cd-patterns.md 7.9 KB
- references/policy-as-code.md 5.9 KB
- references/prioritization-framework.md 12 KB
- references/remediation-workflows.md 9.1 KB
- references/sbom-guide.md 19 KB
- references/tool-selection.md 16 KB
- scripts/vulnerability-report.sh 5.0 KB runs code
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 479 lines · 60 tokens per session scan A a2cbbd7b7d7b
managing-vulnerabilities is a skill published in the GitHub repository ancoleman/ai-design-components (518 stars, last pushed 8mo ago), licensed MIT. It adds 60 tokens to every session and 3,744 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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