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 san-npm/skills-ws --skill security-hardeninggit clone --depth 1 https://github.com/san-npm/skills-wsWrote 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/san-npm/skills-ws/security-hardening)<a href="https://agentmods.dev/skills/san-npm/skills-ws/security-hardening"><img src="https://agentmods.dev/badge/skills/san-npm/skills-ws/security-hardening/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/san-npm/skills-ws/security-hardening"><img src="https://agentmods.dev/badge/skills/san-npm/skills-ws/security-hardening.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00075 | $0.00631 |
| Opus 5 | $0.00037 | $0.00316 |
| Sonnet 5 | $0.00015 | $0.00126 |
| Haiku 4.5 | $0.00007 | $0.00063 |
Grade A, and why
security-hardening 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 5d 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 — 34 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Hardening
Disambiguation: this skill = defensive code patterns. For active offensive testing see
security-pentester. For runtime threat intel (URL/wallet/domain scans) seesecurity-sentinel.
Safety gate
Before executing commands or changing external systems, confirm scope, credentials, target environment, rollback, and required approval. Pin and verify third-party artifacts; never expose secrets to client code or logs.
Reference guide
Read only the references needed for the current request:
- OWASP Top 10: Vulnerable Code → Fixed Code: references/owasp-top-10-vulnerable-code-fixed-code.md
- AI-App Hardening (LLM / Agent / MCP): references/ai-app-hardening-llm-agent-mcp.md
- Authentication Deep Dive: references/authentication-deep-dive.md
- Authorization: RBAC and ABAC: references/authorization-rbac-and-abac.md
- CORS Configuration: references/cors-configuration.md
- Content Security Policy (nonce + strict-dynamic + Trusted Types): references/content-security-policy-nonce-strict-dynamic-trusted-types.md
- Rate Limiting: Distributed with Redis: references/rate-limiting-distributed-with-redis.md
- Dependency Security: references/dependency-security.md
- Secrets Management: references/secrets-management.md
- Incident Response: references/incident-response.md
- Summary: references/summary.md
- Timeline: references/timeline.md
- Impact: references/impact.md
- Root Cause: references/root-cause.md
- Remediation: references/remediation.md
- Action Items: references/action-items.md
- Security Audit Checklist (50+ Items): references/security-audit-checklist-50-items.md
What ships with it
18 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.
- agents/openai.yaml 189 B
- references/action-items.md 242 B
- references/ai-app-hardening-llm-agent-mcp.md 7.4 KB
- references/authentication-deep-dive.md 7.1 KB
- references/authorization-rbac-and-abac.md 2.4 KB
- references/content-security-policy-nonce-strict-dynamic-trusted-types.md 6.5 KB
- references/cors-configuration.md 1.7 KB
- references/dependency-security.md 4.9 KB
- references/impact.md 77 B
- references/incident-response.md 708 B
- references/owasp-top-10-vulnerable-code-fixed-code.md 16 KB
- references/rate-limiting-distributed-with-redis.md 1.3 KB
- references/remediation.md 72 B
- references/root-cause.md 38 B
- references/secrets-management.md 1.2 KB
- references/security-audit-checklist-50-items.md 3.3 KB
- references/summary.md 51 B
- references/timeline.md 180 B
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.
- 5d ago First seen · 34 lines · 75 tokens per session scan A 7f1b8a370668
security-hardening is a skill published in the GitHub repository san-npm/skills-ws (2 stars, last pushed 5d ago), licensed MIT. It adds 75 tokens to every session and 631 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 2026-09-07.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…