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-expert-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-expert-skill)<a href="https://agentmods.dev/skills/yaojingang/yao-open-skills/yao-expert-skill"><img src="https://agentmods.dev/badge/skills/yaojingang/yao-open-skills/yao-expert-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-expert-skill"><img src="https://agentmods.dev/badge/skills/yaojingang/yao-open-skills/yao-expert-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 | $0.00116 | $0.01413 |
| Opus 5 | $0.00058 | $0.00707 |
| Sonnet 5 | $0.00023 | $0.00283 |
| Haiku 4.5 | $0.00012 | $0.00141 |
Grade A, and why
yao-expert-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 13d 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Yao Expert Skill
Turn a domain, industry, technology, role, product direction, or fuzzy idea into an expert learning packet: one structured report, one tutorial path, a keyword system, Feynman tests, and four polished export formats.
Own The Following Job
- Normalize the user's topic into domain, region, purpose, audience, time horizon, output depth, and exclusions.
- Build domain expertise from structure first: boundary, classifications, value chain, actors, demand, supply, competition, lifecycle, policy, technology, capital, risks, and change variables.
- Use authority-first research and separate
fact,inference,hypothesis, andunknown. - Generate
50-100keyword teaching cards. Each keyword must include a plain-language one-liner, concept explanation, bottom logic, real example, practical application, role/effect, related people/companies/institutions when relevant, common misconception, and evidence. - Explain difficult concepts and underlying logic with simple analogies plus real domain examples, so a newcomer can understand how the field works rather than only memorize terms.
- Begin every report with a reader-facing
导读摘要that introduces the learning material, highlights, reading path, and structural logic before the formal report sections. - Write each major module with a natural introductory paragraph and transitions before tables, so the report reads as coherent learning material instead of a hard glossary or matrix dump.
- Generate
10Feynman questions with reference answers and a scoring rubric. - Produce Markdown, Word, PDF, and HTML artifacts, with layout checks for tables, borders, overflow, anchors, fixed left-side navigation, and local-path leakage.
Inputs
Expect one or more of:
- a domain, industry, technology, market, role, company direction, or vague idea
- geography, language, audience, use case, time horizon, and desired depth
- existing notes, links, papers, reports, screenshots, or source constraints
- requested output formats, naming, style, deadline, and privacy constraints
What ships with it
34 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 951 B
- evals/semantic_config.json 588 B
- evals/trigger_cases.json 1.3 KB
- input/expert_brief_template.json 597 B
- manifest.json 602 B
- README.md 4.5 KB
- reference-materials/industry_expert_skill_design.docx 48 KB
- reference-materials/industry_learning_deep_research_report.docx 58 KB
- reference-materials/README.md 1.2 KB
- references/domain-expert-method.md 14 KB
- references/export-and-layout-quality.md 4.8 KB
- references/report-and-tutorial-contract.md 6.8 KB
- references/research-and-source-quality.md 3.3 KB
- reports/artifact-design-profile.md 1015 B
- reports/examples/geo-china-demo/exports/geo-china-expert-report.docx 50 KB
- reports/examples/geo-china-demo/exports/geo-china-expert-report.html 137 KB
- reports/examples/geo-china-demo/exports/geo-china-expert-report.md 65 KB
- reports/examples/geo-china-demo/exports/geo-china-expert-report.pdf 1982 KB
- reports/examples/geo-china-demo/geo-china-expert-report.md 65 KB
- reports/examples/README.md 2.1 KB
- reports/examples/storage-industry-demo/exports/storage-expert-sample.docx 30 KB
- reports/examples/storage-industry-demo/exports/storage-expert-sample.html 68 KB
- reports/examples/storage-industry-demo/exports/storage-expert-sample.md 31 KB
- reports/examples/storage-industry-demo/exports/storage-expert-sample.pdf 1383 KB
- reports/examples/storage-industry-demo/storage-expert-sample.md 31 KB
- reports/output-risk-profile.md 1.3 KB
- reports/prompt-quality-profile.md 1.3 KB
- reports/reference-scan.md 1.7 KB
- reports/sample-domain-expert-report.md 4.1 KB
- scripts/export_expert_report.py 23 KB runs code
- scripts/validate_artifacts.py 17 KB runs code
- templates/expert-report-template.md 11 KB
- templates/expert-report.css 5.1 KB
- templates/report-html-shell.html 1.3 KB
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.
- 13d ago First seen · 93 lines · 116 tokens per session scan A b86b9d14d0e1
yao-expert-skill is a skill published in the GitHub repository yaojingang/yao-open-skills (1,314 stars, last pushed 15d ago), licensed MIT. It adds 116 tokens to every session and 1,413 once invoked, about $0.0006 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.
Other skills, from other repositories
hr-onboarding
A new-hire onboarding plan as a single page — first week schedule, buddy + manager intro, learning track, equipment checklist, and "you're set when…" outcomes. Use when the brief mentions "onboarding", "new hire", "first week plan", or "入职".
book-mirror
Take any book (EPUB/PDF), produce a personalized chapter-by-chapter analysis. Each chapter is preserved in detail (The Chapter) and mirrored back to the reader's actual life (The Mirror) using brain context. The mirror observes and resonates — a friend pointing out parallels, NOT a consultant rearranging the reader's…
miniapp
Build a tiny interactive HTML playground only when someone asks to see, play with, or step through a mechanism.
eli5
Explain research, papers, or technical ideas in plain English with minimal jargon, concrete analogies, and clear takeaways. Use when the user says "ELI5 this", asks for a simple explanation of a paper or research result, wants jargon removed, or asks what something technically dense actually means.
deck-course-module
A course or workshop slide template with persistent learning goals, teaching pages, multiple-choice self-tests, and a wrap-up.
master-yinguang
A reference-based assistant for questions about Yinguang and Pure Land Buddhism, a Buddhist tradition focused on faith, ethical living, and practice connected with rebirth in the Pure Land. It can answer in Yinguang’s historical teaching style.