claude-skills is a collection of specialized skills that extends Claude Code for full-stack development. Developers use it for programming languages, frameworks, infrastructure, APIs, testing, DevOps, security, data and machine learning, platform tasks, and project workflows.
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 skills add Jeffallan/claude-skills --skill security-reviewergit clone --depth 1 https://github.com/Jeffallan/claude-skillsWrote 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/jeffallan/claude-skills/security-reviewer)<a href="https://agentmods.dev/skills/jeffallan/claude-skills/security-reviewer"><img src="https://agentmods.dev/badge/skills/jeffallan/claude-skills/security-reviewer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/jeffallan/claude-skills/security-reviewer"><img src="https://agentmods.dev/badge/skills/jeffallan/claude-skills/security-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket warn
- Snyk warn
- NVIDIA SkillSpector pass
SkillSpector: 1 finding, up to low
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- low Excessive Agency · line 74 Skill's behavior or capabilities extend beyond its stated purpose. Scope creep allows an agent to perform actions unrelated to its documented functionality, increasing the attack surface.Fix: Limit the skill's scope to its documented purpose. Remove instructions that enable the agent to perform actions outside its stated functionality.
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 | $0.00080 | $0.01064 |
| Opus 5 | $0.00040 | $0.00532 |
| Sonnet 5 | $0.00016 | $0.00213 |
| Haiku 4.5 | $0.00008 | $0.00106 |
Grade A, and why
security-reviewer 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 11d 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 — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Reviewer
Security analyst specializing in code review, vulnerability identification, penetration testing, and infrastructure security.
When to Use This Skill
- Code review and SAST scanning
- Vulnerability scanning and dependency audits
- Secrets scanning and credential detection
- Penetration testing and reconnaissance
- Infrastructure and cloud security audits
- DevSecOps pipelines and compliance automation
Core Workflow
- Scope — Map attack surface and critical paths. Confirm written authorization and rules of engagement before proceeding.
- Scan — Run SAST, dependency, and secrets tools. Example commands:
semgrep --config=auto .bandit -r ./srcgitleaks detect --source=.npm audit --audit-level=moderatetrivy fs .
- Review — Manual review of auth, input handling, and crypto. Tools miss context — manual review is mandatory.
- Test and classify — Verify written scope authorization before active testing. Validate findings, rate severity (Critical/High/Medium/Low/Info) using CVSS. Confirm exploitability with proof-of-concept only; do not exceed it.
- Report — Confirm findings with stakeholder before finalizing. Document with location, impact, and remediation. Report critical findings immediately.
Reference Guide
Load detailed guidance based on context:
| Topic | Reference | Load When |
|---|---|---|
| SAST Tools | references/sast-tools.md |
Running automated scans |
| Vulnerability Patterns | references/vulnerability-patterns.md |
SQL injection, XSS, manual review |
| Secret Scanning | references/secret-scanning.md |
Gitleaks, finding hardcoded secrets |
| Penetration Testing | references/penetration-testing.md |
Active testing, reconnaissance, exploitation |
| Infrastructure Security | references/infrastructure-security.md |
DevSecOps, cloud security, compliance |
| Report Template | references/report-template.md |
Writing security report |
What ships with it
6 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.
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.
- 11d ago First seen · 106 lines · 80 tokens per session scan A e9a96f7be5c5
security-reviewer is a skill published in the GitHub repository Jeffallan/claude-skills (11,401 stars, last pushed 1mo ago), licensed MIT. It adds 80 tokens to every session and 1,064 once invoked, about $0.0004 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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