yao-bayesian-skill

yao-bayesian-skill is a skill for Claude Code, Codex from yaojingang/yao-open-skills. It costs 78 tokens per session (776 once invoked), scanned A, original, MIT.

A decision-reporting guide that uses Bayesian reasoning, a way to update beliefs as evidence arrives, to turn an uncertain choice into a documented recommendation.

In plain words
What is it for?
Use it to define a vague decision, assess evidence, update a prior belief, test how sensitive the conclusion is, track questions across turns, and export Markdown and bilingual HTML reports.
Why use it?
It makes assumptions, evidence quality, probability changes, and decision readiness visible instead of leaving them scattered or implicit.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to define a vague decision, assess evidence, update a prior belief, test how sensitive the conclusion is, track questions across turns, and export Markdown and bilingual HTML reports.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yaojingang/yao-open-skills/yao-bayesian-skill
About the project

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.

yaojingang/yao-open-skills · 1,314 stars · on GitHub

Install

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.

Any agent
npx skills add yaojingang/yao-open-skills --skill yao-bayesian-skill
Clone the repo
git clone --depth 1 https://github.com/yaojingang/yao-open-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for yao-bayesian-skill

README.md
[![agentmods](https://agentmods.dev/badge/skills/yaojingang/yao-open-skills/yao-bayesian-skill/github.svg)](https://agentmods.dev/skills/yaojingang/yao-open-skills/yao-bayesian-skill)
Your own site
<a href="https://agentmods.dev/skills/yaojingang/yao-open-skills/yao-bayesian-skill"><img src="https://agentmods.dev/badge/skills/yaojingang/yao-open-skills/yao-bayesian-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.

agentmods 80×15 button for yao-bayesian-skill

Your own site · 80×15
<a href="https://agentmods.dev/skills/yaojingang/yao-open-skills/yao-bayesian-skill"><img src="https://agentmods.dev/badge/skills/yaojingang/yao-open-skills/yao-bayesian-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 776 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00078 $0.00776
Opus 5 $0.00039 $0.00388
Sonnet 5 $0.00016 $0.00155
Haiku 4.5 $0.00008 $0.00078

Measured 12d ago against content hash db2028191464, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

yao-bayesian-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 12d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/bayesian_decision_report.py, scripts/generate_report_bundle.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/yao-bayesian-skill/SKILL.md · 55 lines

How it starts

The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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.

Read the full file on GitHub · 55 lines

Files

What ships with it

36 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.

Changes

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.

  1. 12d ago First seen · 55 lines · 78 tokens per session scan A db2028191464

Subscribe to this mod's changes

yao-bayesian-skill is a skill published in the GitHub repository yaojingang/yao-open-skills (1,314 stars, last pushed 15d ago), licensed MIT. It adds 78 tokens to every session and 776 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.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

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…

microsoft/ai-agents-for-beginners · 200 tokens

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…

vercel/next.js · 95 tokens

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.

microsoft/vscode · 53 tokens

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…

microsoft/vscode · 71 tokens

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…

vercel/next.js · 83 tokens