okf-wiki

okf-wiki is a skill for Claude Code, Codex from jamditis/claude-skills-journalism. It costs 35 tokens per session (4,524 once invoked), scanned A, original, MIT.

A scaffolding tool for building an Open Knowledge Format (OKF) wiki: a knowledge base made of small Markdown files, one concept per file, with source details and navigation indexes.

In plain words
What is it for?
Starting and validating a knowledge base, research atlas, team decision log or infrastructure map from existing material.
Why use it?
It gives notes, documents or repository knowledge a consistent structure that people and software agents can read and edit.

Skill for Claude CodeCodex

Written for Claude Code and Codex: ${CLAUDE_SKILL_DIR} variable, but also agents/openai.yaml present. Also seen: reads .claude/ paths; names the AskUserQuestion tool; mentions Claude Code.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python3 scripts/validate.py --bundle bundle # must exit 0.

Part of the okf-wiki plugin — 1 skill shipped together

Good fit Starting and validating a knowledge base, research atlas, team decision log or infrastructure map from existing material.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/jamditis/claude-skills-journalism
agentmods
npx agentmods add skills/jamditis/claude-skills-journalism/okf-wiki

Made for: Claude Code, Codex.

Or install okf-wiki, the plugin that ships this one along with the rest of its 1 skill.

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-wiki

README.md
[![agentmods](https://agentmods.dev/badge/skills/jamditis/claude-skills-journalism/okf-wiki/github.svg)](https://agentmods.dev/skills/jamditis/claude-skills-journalism/okf-wiki)
Your own site
<a href="https://agentmods.dev/skills/jamditis/claude-skills-journalism/okf-wiki"><img src="https://agentmods.dev/badge/skills/jamditis/claude-skills-journalism/okf-wiki/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-wiki

Your own site · 80×15
<a href="https://agentmods.dev/skills/jamditis/claude-skills-journalism/okf-wiki"><img src="https://agentmods.dev/badge/skills/jamditis/claude-skills-journalism/okf-wiki.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,524 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 warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Tool Misuse · line 111
    Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).
    Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
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 $0.00035 $0.04524
Opus 5 $0.00017 $0.02262
Sonnet 5 $0.00007 $0.00905
Haiku 4.5 $0.00003 $0.00452

Measured 11d ago against content hash 3442acf0caeb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

okf-wiki 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 11d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (example/.claude/hooks/okf-anchor.py, example/.claude/hooks/okf-orient.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.

okf-wiki/SKILL.md · 302 lines

How it starts

The opening of the file, as written. The whole thing — 302 lines — stays where its author put it; the contents beside it link to each section on GitHub.

okf-wiki: scaffold an Open Knowledge Format knowledge base

OKF (Open Knowledge Format) stores knowledge as small markdown files: one concept per file, each carrying its own provenance in YAML frontmatter, with directory index.md files for navigation and a validator that enforces the contract. It is built for knowledge bases that both people and agents read and edit, newsroom institutional memory, a research atlas, a team's decision log, an infrastructure map.

This skill scaffolds a conforming OKF project and validates it. The format contract is in spec/SPEC.md (in this skill's directory), read it before changing structure.

When to use

  • The user wants to start an OKF knowledge base, atlas, or wiki.
  • They want docs structured as one-concept-per-file with provenance, not prose pages.
  • They want to "initialize OKF" in a repo, optionally publishing into its GitHub wiki.

Start here: scope the wiki with the user

Before you scaffold anything, settle four things with the user. They shape what gets created and how it is published, and they are awkward to retrofit once concepts exist. Ask with AskUserQuestion rather than in prose, in two steps: the first three questions in one call, then the publish question as a follow-up call only if the audience came back public or both (it does not apply to an internal-only wiki, and its relevant options depend on that answer, so it cannot share the first batch). Infer the title from the repo or project and confirm it. Skip any question the user already answered in their request, do not re-ask what they have told you.

  1. Audience, who reads this wiki? This answer sets the others:
    • Internal (agents and teammates): the orientation hooks earn their keep, so keep them on. The bundle may hold infrastructure detail, so it usually lives in a private repo. The in-repo bundle/ is the source of truth.
    • Public (people browsing): readability and secret-scrubbing come first; the hooks matter less, since people read it and agents do not. Plan a published view (see Publish below).
    • Both: the in-repo bundle/ is the source of truth with hooks on for agents, plus a published view for people. Default here when the user is unsure.
  2. Title and sections, the knowledge-base title (infer it, then confirm) and the starting sections. Offer sections as a use-case preset, not a blank prompt:
    • Newsroom institutional memory: people, orgs, sources, decisions, beats
    • Research atlas: concepts, sources, methods, findings
    • Infrastructure or fleet map: machines, services, networks, credentials, processes
    • Decision log: decisions, context, events The chosen title and list feed --title and --sections below; the user can edit the list.
  3. Populate now or later, author concepts now from existing material (a repo, docs, notes, or a URL: gather it and enter the authoring loop after scaffolding), or scaffold an empty tree the user fills in later.
  4. Publish target, a follow-up AskUserQuestion call, made only after the audience comes back public or both (skip it entirely for an internal-only wiki):
    • In-repo bundle only (default): the validator and relative links work directly, with no extra surface to maintain. Right for most wikis.
    • GitHub wiki: an optional reading surface. Advanced and manual, see "Optional: publish into a GitHub wiki" below, bootstrapped with scripts/gh-wiki-bootstrap.py.
    • GitHub Pages: a browsable site rendered from the bundle. Not built yet, treat it as a goal and keep the in-repo bundle as the source of truth.

Read the full file on GitHub · 302 lines

Files

What ships with it

60 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. 11d ago First seen · 302 lines · 35 tokens per session scan A 3442acf0caeb

Subscribe to this mod's changes

okf-wiki is a skill published in the GitHub repository jamditis/claude-skills-journalism (391 stars, last pushed 3d ago), licensed MIT. It adds 35 tokens to every session and 4,524 once invoked, about $0.0002 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.

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