okf-open-knowledge-format

Create, validate, and enrich Open Knowledge Format (OKF) bundles : the open spec for representing...

What this skill does for you

Create, validate, and enrich Open Knowledge Format (OKF) bundles : the open spec for representing organizational knowledge as markdown files with YAML frontmatter. Use when the user mentions 'OKF', 'Open Knowledge Format', 'knowledge bundle', 'OKF bundle', 'create a knowledge base for agents', 'validate OKF', 'convert to OKF', 'enrich knowledge docs', 'agent-readable knowledge', 'LLM wiki', 'knowledge catalog', 'kcmd', or wants to structure knowledge as markdown files for AI agent consumption. Also use when the user has a directory of markdown files and wants to make them interoperable or conformant with the OKF standard. Even for simple requests like 'make this folder OKF conformant' : the skill has critical structural rules the agent needs.

Quoted from the skill description in the pinned source

Who made it

Publisherfabricioctelles

Repositoryskills

Installs322as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the okf-open-knowledge-format skill from fabricioctelles/skills.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 3b8da2cc1d5d13da7142560433b46b7ec3fc6988. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 3b8da2cc1d5d13da7142560433b46b7ec3fc6988. Raw findings: 2. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 3b8da2cc1d5d13da7142560433b46b7ec3fc6988. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/fabricioctelles/skills
Pinned skill file: View source at revision
Revision: 3b8da2cc1d5d13da7142560433b46b7ec3fc6988
Package hash: sha256:645d7026dbc0c306f0fcfb6a618101e490db8a1bbdfdfe45af4cbd5313864398
Licence: Apache-2.0