yao-bayesian-skill
Convert uncertain real-world choices into an auditable Bayesian evidence-to-action report with priors, evidence grading, posterior update, action thresholds…
Skill by yaojingang
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/yaojingang-yao-bayesian-skill
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: documents, frontend, finance, legal
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/yao-bayesian-skill
What's inside
- Skill name
yao-bayesian-skill- Description
- Convert uncertain real-world choices into an auditable Bayesian evidence-to-action report with priors, evidence grading, posterior update, action thresholds, sensitivity checks, multi-turn decision logs, and Markdown plus bilingual HTML output. Do not use for Bayes theorem tutoring, homework, generic brainstorming with no report, or final licensed medical, legal, or financial advice.
- License
- MIT
- Instructions
- 51 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (37)
- SKILL.md
- interface.yaml · agents/
- semantic_config.json · evals/
- trigger_cases.json · evals/
- bayesian_decision_request.template.json · input/
- detailed_growth_case.json · input/
- geo_overseas_service_case.json · input/
- sanya_travel_case.json · input/
- sanya_travel_real_case.json · input/
- manifest.json
- decision-report-contract.md · references/
- evidence-prior-playbook.md · references/
- intake-contract.md · references/
- multi-turn-dialogue-loop.md · references/
- prior-hygiene-checklist.md · references/
- report-export-pipeline.md · references/
- sensitivity-and-safety.md · references/
- README.md · reports/
- detailed-growth-case.html · reports/
- detailed-growth-case.md · reports/
- detailed-growth-case.pdf · reports/
- example-decision-report.html · reports/
- example-decision-report.md · reports/
- example-decision-report.pdf · reports/
- geo-overseas-service-case.html · reports/
- geo-overseas-service-case.md · reports/
- geo-overseas-service-case.pdf · reports/
- sanya-travel-case.html · reports/
- sanya-travel-case.md · reports/
- sanya-travel-case.pdf · reports/
- sanya-travel-real-report.html · reports/
- sanya-travel-real-report.md · reports/
- sanya-travel-real-report.pdf · reports/
- bayesian_decision_report.py · scripts/
- generate_report_bundle.py · scripts/
- report-theme.css · templates/
- report.schema.json · templates/
SKILL.md (first lines)
# Yao Bayesian Skill ## Use This Skill For - structure a vague choice into hypothesis, time horizon, success metric, and actions - set a prior, grade evidence, update posterior, compare action thresholds, and recommend next information - start from incomplete input with a weak prior, then improve the judgment through multi-turn questioning - export one synchronized Chinese-first `markdown` plus bilingual `html` report ## Do Not Route Here - Bayes theorem tutoring or homework-only calculations - broad research or brainstorming with no explicit decision report - final professional medical, legal, or investment advice ## Default Workflow 1. Use `references/intake-contract.md` to convert the request into one structured decision brief. 2. If input is incomplete, read `references/multi-turn-dialogue-loop.md`; start with a weak prior and ask the minimum next questions. 3. Use `references/evidence-prior-playbook.md` to grade evidence and choose the lightest valid update path. 4. Run `references/prior-hygiene-checklist.md`; show only the 3-5 principles most relevant to this case. 5. Maintain the round log: user input, remaining gap, update path, probability change, and decision readiness. 6. Run `scripts/bayesian_decision_report.py` for canonical JSON or `scripts/generate_report_bundle.py` for `markdown + html`. 7. Finalize with `references/decision-report-contract.md`, `references/report-export-pipeline.md`, and `references/sensitivity-and-safety.md`. ## Iteration And Implementation Constraints When extending this skill: state assumptions before coding, keep the smallest valid workflow, touch only files required by the request, and define user-visible success checks before editing. Typical checks: incomplete input yields a weak prior plus follow-up questions; each round is logged; the report explains belief changes; HTML/Markdown still render the intended guidance. ## Output Contract - Produce a decision report, not a formula dump; mark numbers as observed, estimated, or assumed. - Put the plain-language conclusion and action recommendation before technical sections. - Include weak evidence, dependence risk, sensitivity, prior-hygiene checks, and high-risk disclaimers when relevant. - For multi-turn use, log prior, posterior, readiness, gaps, and formula/update path for each round. - Reports default to Simplified Chinese; HTML also supports Chinese/English switching, sticky navigation, collapsible advanced sections, and top-right `Print` / `Save as PDF`. - Printing or saving HTML as PDF should expand folded sections first. ## Reference Map - `references/intake-contract.md`: request-to-brief conversion - `references/multi-turn-dialogue-loop.md`: incomplete-input handling and iterative questioning - `references/evidence-prior-playbook.md`: evidence tiers, priors, update-path selection - `references/prior-hygiene-checklist.md`: default judgment priors for checking priors, evidence, and action intensity - `references/decision-report-contract.md`: required report sections and schema alignment - `references/report-export-pipeline.md`: automatic HTML/Markdown generation and bilingual HTML rules - `references/sensitivity-and-safety.md`: sensitivity analysis and high-risk disclaimers - `scripts/bayesian_decision_report.py`: canonical V0/V1 calculation - `scripts/generate_report_bundle.py`: Chinese-first Markdown plus bilingual HTML
From yaojingang/yao-open-skills, MIT.
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Signals
- Stars
- 1,324
- Forks
- 144
- Open issues
- 0
- Last commit (this folder)
- Apr 26, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/yaojingang/yao-open-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
yao-bayesian-skill. Agent Mart. https://agentmart.dev/skills/yaojingang-yao-bayesian-skill (last updated 2026-10-24)