Star0

Key Book

STRONG · 76
Community indexed

《机器学习理论导引》（宝箱书）的证明、案例、概念补充与参考文献讲解。

Downloads0
Stars1.7K
Version1.0.0
Quality93/100 · Excellent
Trust76/100 · Review then install
Audit87/100 · Safe to try

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add datawhalechina/key-book

Maintenance

active

2mo since push

Risk

Safe to try

License is unclear

GitHub quality

1.7K

93/100 quality · 84/100 trust

Coverage tags

CodingGitHub automationml-automationmachine-learningautomation

Review notes

License is unclear · License clarity: Unknown

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Excellent
93

High-confidence pick with strong adoption and healthy maintenance signals.

Trust

Review then install
76

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

Audit

Safe to try
87

Install readiness, security metadata, maintenance, and adoption risk.

Trust Score v5

Human review before install

Use as the primary candidate after human or sandbox review.

Jupyter NotebookMachine LearningCodexClaude CodeCursor

Stars

1.7K GitHub stars

Repo activity

1.7K stars, 187 forks

Maintenance

2mo since push

License

Unknown

Install

npx skills add datawhalechina/key-book

Install safety

standard package or runtime install path

Permission surface

filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Usable metadata, review docs

Risk summary

Review before production

  • License is unclear
  • License clarity: Unknown

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is unclear
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • GitHub automation workflows
  • Claude Code teams
  • teams that value GitHub adoption signals
  • Inspect repository metadata

Suited agents

Jupyter NotebookMachine LearningCodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add datawhalechina/key-book
Policy
review
Human review
yes

Trust and risk

Trust
76/100
Audit
87/100
Risk level
Safe to try

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add datawhalechina/key-book
Public auditEval reportResolve APIInstall handoff

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No major risk signals from current metadata
  • License is unclear
  • License clarity: Unknown

Alternative

Tensorflow

195.7K stars

npx skills add tensorflow/tensorflow

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Alternative

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Alternative

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97.3K stars

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Agent safety v2

71/100 · Review before install

Reviewedreview

Good audit and safety signals with no high-risk permission hints in public metadata.

Review the audit page, then allow agent install in a sandboxed workflow.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

  • License is unclear

Install targets

Install this skill in your agent workflow

Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add datawhalechina/key-book

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Resolve JSON

/api/agent/resolve?task=Use%20Key%20Book%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

/api/agent/resolve?task=Use%20Key%20Book%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text

Install handoff

/api/skills/datawhalechina-key-book/install

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use Key Book in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Key%20Book%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/datawhalechina-key-book/install
Install command: npx skills add datawhalechina/key-book
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Install handoff

/api/skills/datawhalechina-key-book/install

LLM text format

/api/skills/datawhalechina-key-book/install?format=text

Find alternatives

/api/skills/search?q=Key%20Book&limit=3

Agent prompt

Use Key Book for this task. Review https://www.openagentskill.com/api/skills/datawhalechina-key-book/install, then install with: npx skills add datawhalechina/key-book

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Manifest

/api/registry/manifest/datawhalechina-key-book

LLM text

/api/registry/manifest/datawhalechina-key-book?format=text

Install alias

/api/registry/install/datawhalechina-key-book

Recommend

/api/registry/recommend?task=Use%20Key%20Book%20in%20an%20agent%20workflow&limit=3

Agent fit

100/100

GitHub automation

Use-case tags

GitHub automationCoding agentsRAG and knowledge

Platforms

Jupyter Notebook, Machine Learning, Claude Code

Audit report

Safe to try · 87/100

Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.

View audit reportView eval report

Agent decision cockpit

Primary pick for GitHub automation

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100
Readiness
Adopt
Stage

Role in stack

Primary pick

Primary fit

GitHub automation

Trust label

Production-ready

Install path

Command ready

Use when

  • GitHub automation workflows
  • Claude Code teams
  • teams that value GitHub adoption signals

Evidence

  • 1,704 GitHub stars
  • recent repository activity
  • install command or GitHub repo available
  • 93/100 quality profile
  • 5 OpenAgentSkill engagement events

Review first

  • No major risk signals from current metadata

Implementation path

  1. 1Install it in a sandbox agent and run one GitHub automation task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Review then install

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

76
Trust score

GitHub adoption

PASS

1.7K GitHub stars

Stars/forks activity

INFO

1.7K stars, 187 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

2mo since push

License clarity

CHECK

Unknown

Good signals

  • Manually verified listing
  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Meaningful GitHub adoption signal
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • License is unclear
  • License clarity: Unknown
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Use as the primary candidate after human or sandbox review.

Quality profile

Excellent candidate for agent workflows

High-confidence pick with strong adoption and healthy maintenance signals.

93
GitHub stars
1.7K
Freshness
2mo ago
Install ready
Yes
License
Unknown

Workflow fit

Use this skill in these scenarios

Manage repositories

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Build and ship code

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Search private knowledge

RAG and knowledge

I need my agent to build a RAG workflow over documents and retrieve reliable context.

Stack fit

Add it to a complete workflow

Turn skills into distribution

Content growth agent

A stack for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.

Inspect, patch, and verify code

Coding review agent

A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.

Ingest, retrieve, and cite

RAG knowledge base

A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.

Alternative shortlist

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Overview

《机器学习理论导引》（宝箱书）的证明、案例、概念补充与参考文献讲解。

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, domain workflow, RAG, document-processing, data, finance, security, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform Compatibility

jupyter-notebookFULL
machine-learningFULL

Technical Details

Version
1.0.0
License
Unknown
Last Updated
6/20/2026
Published
6/20/2026

Frameworks & Tools

Jupyter NotebookMachine Learning

Decision snapshot

Primary pick

100
Ready
Adopt
Stage

1,704 GitHub stars

Audit snapshot

Install review

Install and adoption review

87
Safe to try
Security
81/100
Maintenance
88/100
Install
92/100
Open full auditOpen eval report

Agent-proven evidence

Agent Proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
—
Recent failure
—
Outcomes
0
Output quality
—
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Agent-Proven rankingOutcome contract

Install

Add to agent workflow

Free and open source. Review the audit before production use.

Compare AlternativesAuto-resolve PlanView on GitHubDocumentation

Growth loop

Share kit

X

Scenario-led draft for Key Book, ready for a manual X post.

Curator note
Most coding agents don't fail from lack of model power. They fail when repo context disappears.

Key Book gives coding agents a repeatable way to plan, patch, review, or ship.

1.7K stars

https://www.openagentskill.com/skills/datawhalechina-key-book?ref=x
#AIAgents
Open X draft
Optional reply with install command
Listing + install path for Key Book:
https://www.openagentskill.com/skills/datawhalechina-key-book?ref=x

Install: npx skills add datawhalechina/key-book
Open reply draft

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This community indexed listing is attributed to datawhalechina but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

README badge

Add this badge to your GitHub README to show the listing, trust score, and install handoff.

[![OpenAgentSkill](https://www.openagentskill.com/api/badge/datawhalechina-key-book)](https://www.openagentskill.com/skills/datawhalechina-key-book)
Preview badgeAudit badge

Author

D

datawhalechina✓

@datawhalechina

Tags

machine-learningautomationml-mediaartificial-intelligencecoursedeep-learningtheoretical-machine-learningtutorialjupyter notebookgithub

Platform Fit

Claude Code

Health Signals

GitHub stars
1.7K
Quality score
61/100
Last GitHub push
Apr 26, 2026
Framework hints
2
OpenAgentSkill views
1
Install copies
0
Outbound clicks
0

Community Signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & Safety

Review then install

76
  • GitHub adoption1.7K GitHub starsPASS
  • Stars/forks activity1.7K stars, 187 forks; issue activity unavailable in current metadataINFO
  • Recent maintenance2mo since pushPASS
  • License clarityUnknownCHECK
  • README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS

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