yaojingang/yao-open-skills is a public collection of reusable AI skills for research, decision-making, business analysis, learning, and document creation. It serves people who want repeatable, maintainable AI workflows instead of isolated prompts, and catalogued add-ons are published skills from this collection.
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 yaojingang/yao-open-skills --skill yao-websecurity-skillgit clone --depth 1 https://github.com/yaojingang/yao-open-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/yaojingang/yao-open-skills/yao-websecurity-skill)<a href="https://agentmods.dev/skills/yaojingang/yao-open-skills/yao-websecurity-skill"><img src="https://agentmods.dev/badge/skills/yaojingang/yao-open-skills/yao-websecurity-skill/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/yaojingang/yao-open-skills/yao-websecurity-skill"><img src="https://agentmods.dev/badge/skills/yaojingang/yao-open-skills/yao-websecurity-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00058 | $0.01017 |
| Opus 5 | $0.00029 | $0.00508 |
| Sonnet 5 | $0.00012 | $0.00203 |
| Haiku 4.5 | $0.00006 | $0.00102 |
Grade A, and why
yao-websecurity-skill 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 — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Yao Websecurity Skill
Use
Use when the user gives a local path, archive, GitHub repo, staging URL, or owned runtime and wants a defensive website security audit, vulnerability checklist review, scorecard, remediation plan, static review, dynamic review, active validation, or Excel/HTML/Markdown/PDF report.
Do not use for unauthorized targets, exploit development, credential theft, stealth, malware, third-party public-target scanning, or bypass instructions.
Required Reading
references/security-audit-method.mdreferences/report-contract.mdreferences/review-modes.mdreferences/vulnerability-ontology.csvreferences/scanner-registry.md
Workflow
- Confirm mode, scope, authorization, environment, intensity, forbidden actions, test accounts, rate limits, rollback/reset plan, and whether online targets are allowed. Without active-test authorization, use
static. - Prepare an isolated workdir before review:
python3 scripts/security_audit_report.py prepare-env --source "<path-or-url>" --workdir "<fresh-temp-workdir>" --project "<name>" --mode "<mode>". Local and GitHub targets must be copied or cloned into this fresh temp directory; never install, build, migrate, write reports, or mutate the original source tree. - For
dynamic-safe,dynamic-active,hybrid, oronline-authorized, configure only temporary secrets, test DB, synthetic accounts/data, loopback or isolated containers, OOB endpoint if authorized, and stop conditions. Destructive file operations, DB writes, brute-force resilience, resource pressure, and blind SSRF/OOB tests default to the isolated temp deployment. - Inventory the isolated
target-sourcewithrg --files, manifests, routes/API definitions, auth/session modules, data models, configs, Docker/IaC, CI/CD, and AI/LLM integrations. Record unreadable, generated, vendor, or excluded paths. - Create the review skeleton:
python3 scripts/security_audit_report.py init --project "<name>" --source "<fresh-temp-workdir>/target-source" --mode "<mode>" --intensity "<intensity>" --out "<fresh-temp-workdir>/security_review.json". - Triage
V001-V275by observed attack surface. Mark irrelevant itemsNot Applicablewith a short reason; deep-audit only applicable or unclear items, grouped by domain and priority. Do not spend review budget testing vulnerability families that are not represented in the code, framework, runtime, or deployment model. - Execute only the selected mode. Static means code/config/passive review. Dynamic-safe means runtime and passive DAST against temp deployment. Dynamic-active may run blind/OOB, capped brute-force, file mutation, DB writes, and resource-pressure tests only inside temp deployment unless explicit online authorization states otherwise. If a runtime gate is missing, mark affected checks
UnclearorDeferred, notSafe. - Render artifacts:
python3 scripts/security_audit_report.py render --review "<workdir>/security_review.json" --out-dir "<workdir>/security-audit-report". - Return the absolute
.xlsx,.html,.md, and.pdfpaths, selected mode, selected risk domains, P0/P1 findings, unclear items, coverage gaps, runtime assumptions, and active-test evidence.
What ships with it
26 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/interface.yaml 941 B
- evals/semantic_config.json 6.4 KB
- evals/trigger_cases.json 3.5 KB
- examples/fictional-starbridge-audit/README.md 1.4 KB
- examples/fictional-starbridge-audit/security_review.sanitized.json 477 KB
- examples/fictional-starbridge-audit/安全审查报告.html 767 KB
- examples/fictional-starbridge-audit/安全审查报告.md 273 KB
- examples/fictional-starbridge-audit/安全审查报告.pdf 2690 KB
- examples/fictional-starbridge-audit/安全审查评分表.xlsx 100 KB
- examples/sample-review-note.md 539 B
- manifest.json 1.2 KB
- README.md 7.8 KB
- references/report-contract.md 12 KB
- references/review-modes.md 2.4 KB
- references/scanner-registry.md 3.7 KB
- references/security-audit-method.md 8.5 KB
- references/source-benchmark-scan.md 2.5 KB
- references/vulnerability-ontology.csv 37 KB
- references/网站安全审查AI_Skill设计与漏洞知识库报告.docx 73 KB
- reports/artifact-design-profile.md 1.9 KB
- reports/output-risk-profile.md 1.8 KB
- reports/reference-synthesis.md 1.1 KB
- reports/validation-results.md 1.7 KB
- scripts/security_audit_report.py 108 KB runs code
- templates/review-template.json 1.9 KB
- tests/test_security_audit_report.py 9.3 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.
- 11d ago First seen · 44 lines · 58 tokens per session scan A 3bfe9895adce
yao-websecurity-skill is a skill published in the GitHub repository yaojingang/yao-open-skills (1,311 stars, last pushed 14d ago), licensed MIT. It adds 58 tokens to every session and 1,017 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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