okf-skills

作者 scaccogatto已验证

The OKF toolkit for Claude Code — author, maintain, validate & visualize Open Knowledge Format bundles. Claude Code plugin + skills.sh.

55
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8
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Python
语言
2026/8/24
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⚠️ 第三方软件声明

本 Skill 为第三方开源软件,独立托管于 GitHub。SkillTip 仅为信息目录,不控制或维护底层仓库。所显示的安全检查为自动化且范围有限,安装前请自行审查源码。

阅读服务条款

安装

添加到你的 Claude Code skills 目录:

# Add to your Claude Code skills
git clone https://github.com/scaccogatto/okf-skills

快速入门

使用 okf-skills 等 Skills 的指南。

安全报告

已验证

上次扫描:—

{
  "status": "PASSED",
  "issues": []
}

README.md

📚 okf: the Open Knowledge Format toolkit for Claude Code

Teach your coding agent to author, maintain, validate, and visualize portable knowledge bundles: markdown your team and your agents both read.

Built for OKF v0.2 (trust signals, provenance, staleness), while the rest of the ecosystem still targets v0.1.

License: MIT OKF spec Claude Code plugin skills.sh PRs welcome

Open the live demo: a real OKF bundle as an interactive graph

okf: explore an OKF bundle as an interactive graph

Click any node for rendered markdown, the derived trust tier and staleness, provenance with its credibility signals, and "Links to / Cited by" backlinks. No backend, nothing leaves the page.

/plugin install okf@scaccogatto
npx skills add scaccogatto/okf-skills

OKF is an open, vendor-neutral format (announced by Google Cloud, June 2026) that represents knowledge (the context and curated insight around your systems) as a directory of markdown files with YAML frontmatter. No schema registry, no runtime, no SDK. If you can cat a file you can read it; if you can git clone a repo you can ship it.

This is the Claude Code-native OKF toolchain. It teaches Claude to produce, maintain, consume, validate, and visualize OKF bundles as a normal part of how it already works, driven by the verbatim spec, backed by a deterministic conformance checker, with a self-contained graph renderer. Ships as a Claude Code plugin, as agent skills (Cursor, Codex, and 20+ agents), and as a GitHub Action for repos with no agent at all. Every other tool in Google's community list still targeted v0.1 when we checked on 2026-07-27; this one is v0.2 throughout.

🪞 This repo documents itself in OKF. The architecture, skills, and decisions behind okf-skills live in .okf/, explorable as a live self-graph. CI validates that bundle on every push (dogfooding the conformance checker).

Install

As a Claude Code plugin:

/plugin marketplace add scaccogatto/okf-skills
/plugin install okf@scaccogatto

As agent skills via skills.sh (Claude Code, Cursor, Codex, and 20+ agents):

npx skills add scaccogatto/okf-skills            # the okf, validate & visualize skills

Local development (no marketplace): claude --plugin-dir /path/to/okf-skills.

Both layouts coexist in this one repo: .claude-plugin/ makes it a plugin marketplace, skills/<name>/SKILL.md makes it skills.sh-discoverable. Scripts live inside their skills and are referenced via ${CLAUDE_SKILL_DIR}, so they work in either path. The scripts need uv (or python3 + pyyaml).

Use it

Capture knowledge: ask Claude to "document the auth service in OKF", or run:

/okf:okf produce .okf

Validate before committing:

/okf:validate .okf --strict
# or directly, zero-config:
uv run skills/validate/scripts/okf_validate.py .okf --strict
# gate in CI while some warnings are still outstanding:
uv run skills/validate/scripts/okf_validate.py .okf --max-warnings 5

Gate it in CI: the composite action works in any repo, with or without Claude Code:

- uses: scaccogatto/okf-skills@v1
  with:
    bundle: .okf
    strict: "true"      # or: max-warnings: "5"

Visualize the knowledge graph, a self-contained viz.html that opens in any browser (live example):

/okf:visualize .okf
# or directly, with a title and a back-link to your repo:
uv run skills/visualize/scripts/okf_visualize.py .okf \
  -o viz.html --title "My project" --link "https://github.com/me/project"

Every concept gets a shareable deep link (viz.html#services/auth-api opens with that concept selected). Each panel carries two derived badges: the §5.3 trust tier (unverified / machine-confirmed / human-reviewed) and staleness once stale_after is past. OKF stores neither (a stored tier is a stored opinion, and it goes stale), so both are computed at render time.

Keep it up to date. Two opt-in ways to make upkeep automatic:

  • Soft mode: paste templates/CLAUDE-okf.md into your project's CLAUDE.md (or ~/.claude/CLAUDE.md) to have Claude consult .okf/ before tasks and write knowledge back after changes.
  • Enforced mode: add upkeep: enforced to .okf/index.md's frontmatter to arm the plugin's dormant Stop hook, which then blocks finishing when tracked files changed but .okf/log.md wasn't updated. Off by default; a user overrides any bundle with OKF_HOOK=off. Full gate sequence: stop-hook concept.

What's inside

ComponentWhat it does
/okf:okf skillProduce / maintain / consume bundles, applying the spec and templates. Auto-triggers when a repo has an OKF bundle.
/okf:validate skillDeterministic §11 conformance check (not an eyeball pass).
/okf:visualize skillRender a bundle to a self-contained interactive HTML graph (viz.html).
skills/okf/scripts/okf_init.pyScaffold a conformant starter bundle in one shot.
skills/validate/scripts/okf_validate.pyStandalone, zero-config validator (uv run, PyYAML via PEP 723).
skills/visualize/scripts/okf_visualize.pyStandalone bundle→viz.html renderer.
skills/okf/reference/SPEC.mdThe OKF v0.2 spec, vendored verbatim: the source of truth.
templates/CLAUDE-okf.mdSnippet that turns on automatic consume/maintain in your project.
action.ymlComposite GitHub Action to gate a bundle in any repo's CI, no Claude Code needed.
examples/sample-bundle/The conformant bundle behind the live demo.

How a bundle looks

A bundle is a directory of markdown files; a concept's path is its ID. The only rule for conformance is YAML frontmatter with a non-empty type; everything else is optional.

.okf/
├── index.md                  # progressive disclosure (root carries okf_version)
├── log.md                    # ISO-dated change history, newest first
├── services/auth-api.md      # one concept = one file; path is its ID
├── decisions/use-okf.md
└── metrics/checkout-conversion.md
---
type: Service
title: Auth API
description: Issues and verifies short-lived access tokens.
resource: https://github.com/acme/auth
status: stable
generated: { by: doc_agent/1.0, at: 2026-06-14T10:00:00Z }
verified: { by: human:dana, at: 2026-06-20T09:00:00Z }
sources:
  - id: auth-readme
    resource: https://github.com/acme/auth#readme
    title: Auth service README
---

# Endpoints
Tokens live 15 minutes.[^auth-readme]

[^auth-readme]: Auth service README

What OKF v0.2 adds

v0.2 assumes a corpus that agents keep writing, so it makes four things answerable from frontmatter alone. All optional; a concept carrying only type is still fully conformant. Full normative detail is in SPEC.md.

FamilyFieldsAnswers
Provenancesources[] + author / usage_count / last_modified, usage_windowWhere did this come from, and how credible is that source?
Trustgenerated: {by, at}, verified[], actor convention (human: / process: / agent/version)Who wrote it, who confirmed it?
Lifecyclestatus, stale_afterIs it current? Is it still true?
Attestationtype: Attested Computation + runtime, parameters, executor, attesterWas this number produced the sanctioned way?

Upgrading from v0.1? --migrate rewrites the two superseded constructs (timestampgenerated.at, body # Citationssources) in place, textually and idempotently. The tools read both meanwhile and flag the old forms as warnings, never errors; --strict is the nudge, --migrate is the door:

uv run skills/validate/scripts/okf_validate.py .okf --migrate --strict

Repository layout

okf-skills/
├── .claude-plugin/{plugin.json, marketplace.json}
├── skills/{okf, validate, visualize}/{SKILL.md, scripts/}
├── hooks/                         # the dormant Stop hook
├── examples/sample-bundle/        # the live-demo bundle
├── docs/                          # GitHub Pages: the live interactive demo
├── templates/CLAUDE-okf.md
├── action.yml                     # the CI-gating GitHub Action
├── Makefile                       # make docs / test / validate; CI runs the same
└── .github/workflows/ci.yml

Contributing

Issues and PRs welcome: new templates, producers for more sources, validator and visualizer improvements. CI validates the plugin manifest and the example bundle on every push. Releases are automatic: bump version in .claude-plugin/plugin.json and merging to main tags and publishes okf--v<version> on its own. That bump is required, not optional: a PR touching the shipped surface (skills/, hooks/, templates/, action.yml, .claude-plugin/) fails CI until the version is raised. Docs, .okf/ and tests are exempt; the skip-version-check label bypasses the gate for a shipped change that warrants no release.

Credits & license

  • The Open Knowledge Format specification is by the Google Cloud Data Cloud team, released under Apache-2.0. skills/okf/reference/SPEC.md is vendored verbatim from the reference repository with attribution.
  • This plugin's own code and content: MIT © Marco Boffo (@scaccogatto).

常见问题

What is okf-skills?

okf-skills is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by scaccogatto. The OKF toolkit for Claude Code — author, maintain, validate & visualize Open Knowledge Format bundles. Claude Code plugin + skills.sh. It has 55 GitHub stars.

Is okf-skills safe to use?

Yes. okf-skills passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install okf-skills?

Clone the repository with "git clone https://github.com/scaccogatto/okf-skills" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is okf-skills written in?

okf-skills is primarily written in Python. It is open-source under scaccogatto on GitHub, so you can review or fork the full source.

Are there alternatives to okf-skills?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh okf-skills against similar tools.

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