okf-knowledge-base

okf-knowledge-base is a skill for Claude Code, Codex from inkeep/open-knowledge-skills. It costs 58 tokens per session (1,012 once invoked), scanned A, original, MIT.

Guidance for Open Knowledge Format, a portable way to store agent-readable knowledge in Markdown files with metadata and links.

In plain words
What is it for?
It helps create, read, review, and maintain OKF bundles, including their concepts, indexes, logs, links, types, and provenance.
Why use it?
It helps keep knowledge bundles consistent, portable, and understandable to tools that read them.

Skill for Claude CodeCodex

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

Good fit It helps create, read, review, and maintain OKF bundles, including their concepts, indexes, logs, links, types, and provenance.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/inkeep/open-knowledge-skills/okf-knowledge-base
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 inkeep/open-knowledge-skills --skill okf-knowledge-base
Clone the repo
git clone --depth 1 https://github.com/inkeep/open-knowledge-skills

Made for: Claude Code, Codex.

Its marketplace also offers this one on its own, as the plugin okf / okf-knowledge-base — /plugin install okf after adding the marketplace above.

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 okf-knowledge-base

README.md
[![agentmods](https://agentmods.dev/badge/skills/inkeep/open-knowledge-skills/okf-knowledge-base/github.svg)](https://agentmods.dev/skills/inkeep/open-knowledge-skills/okf-knowledge-base)
Your own site
<a href="https://agentmods.dev/skills/inkeep/open-knowledge-skills/okf-knowledge-base"><img src="https://agentmods.dev/badge/skills/inkeep/open-knowledge-skills/okf-knowledge-base/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 okf-knowledge-base

Your own site · 80×15
<a href="https://agentmods.dev/skills/inkeep/open-knowledge-skills/okf-knowledge-base"><img src="https://agentmods.dev/badge/skills/inkeep/open-knowledge-skills/okf-knowledge-base.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,012 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
  • Socket pass 29 Aug 2026
  • Snyk pass 29 Aug 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 $0.00058 $0.01012
Opus 5.5 $0.00023 $0.00405
Sonnet 5.5 $0.00012 $0.00202
Haiku 4.5 $0.00006 $0.00101

Measured 2mo ago against content hash f61ed100b8b7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

okf-knowledge-base 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 2mo 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.

skills/starter-packs/okf-knowledge-base/okf-knowledge-base/SKILL.md · 58 lines

How it starts

The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Open Knowledge Format (OKF)

OKF v0.2 is a portable format for agent-readable knowledge: Markdown files, YAML frontmatter, and standard links. The /open-knowledge skill governs tool use; this skill covers OKF semantics.

Core rules

  • A bundle is a directory tree of .md files. Each non-reserved file is one concept; its path without .md is its ID.
  • Every concept needs parseable frontmatter with a non-empty string type. No other field is always required.
  • Types are an open vocabulary. Consumers must accept unfamiliar types and metadata.
  • Use standard Markdown links for portable relationships. Broken links and a missing index are allowed.
  • index.md and log.md are reserved at every level. Use lowercase filenames.
  • An index.md normally has no frontmatter; only the root index may declare okf_version: "0.2".
  • A log.md is newest-first; entry headings begin with an ISO date — ## YYYY-MM-DD: Summary (the summary after the date is optional; a bare ## YYYY-MM-DD is equally conformant).
  • OKF consumers read .md, not .mdx.

Authoring judgment

  • Make each concept the smallest useful link or citation target. Choose a stable, descriptive type; Document is only a generic fallback.
  • Do not invent facts, relationships, resources, sources, verification, or history. Missing knowledge is better than false structure.
  • Use title, description, resource, and tags only when they add real information.
  • Record provenance in sources. Join claim-level citations with matching sources[].id and Markdown footnotes.
  • Keep authorship and verification separate: generated says who produced content; verified says who confirmed it. Use exact lowercase human: and process: prefixes when applicable.
  • Write every provenance timestamp as an ISO 8601 datetime with an explicit UTC offset (stale_after: 2026-12-31T00:00:00Z), never a bare date and never an offsetless time. This covers generated.at, verified[].at, stale_after, sources[].last_modified, and both usage_window bounds. A log.md entry heading is different: it stays a plain YYYY-MM-DD date.
  • Treat status: deprecated and expired stale_after values as trust signals, not validation errors.
  • For type: Attested Computation, follow the declared runtime and parameters. Do not rewrite the sanctioned computation.

Read the full file on GitHub · 58 lines

Files

What ships with it

1 file 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. 2mo ago First seen · 58 lines · 58 tokens per session scan A f61ed100b8b7

Subscribe to this mod's changes

okf-knowledge-base is a skill published in the GitHub repository inkeep/open-knowledge-skills (17 stars, last pushed 11d ago), licensed MIT. It adds 58 tokens to every session and 1,012 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-31.

Related

okf-knowledge-base compared with skills from other repositories

okf-knowledge-base next to 6 skills from other repositories
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