validate
FeaturedCheck that an Open Knowledge Format (OKF) bundle is conformant with the v0.2 spec (§11). Use when asked to validate, lint, or check an OKF bundle, or before committing changes to one. Runs a deterministic Python checker — not an eyeball pass. Also migrates a v0.1 bundle to v0.2 in place with `--migrate`.
Install
Quality Score: 92/100
Skill Content
Details
- Author
- scaccogatto
- Repository
- scaccogatto/okf-skills
- Created
- 1 months ago
- Last Updated
- today
- Language
- Python
- License
- MIT
Similar Skills
Semantically similar based on skill content — not just same category
okf-lint
Validate an Open Knowledge Format (OKF) knowledge base (a wiki/ bundle of Markdown + YAML frontmatter) for spec conformance and house rules. Use when the user wants to check, validate, or lint their wiki / knowledge base, or after editing KB pages. Triggers: "lint my wiki", "validate the knowledge base", "check the OKF bundle", "is my wiki conformant", "run the okf linter". Reports errors (must fix) and warnings (review), with a non-zero exit on failure.
okf
Author, maintain, and consume Open Knowledge Format (OKF) knowledge bundles — portable markdown + YAML frontmatter that both humans and agents read. Use when capturing project knowledge (services, APIs, schemas, metrics, runbooks, decisions) into an OKF bundle, when updating one after code or docs change, or when a repository contains an `.okf/` (or other OKF) bundle that should inform the task. Triggers on: "document this in OKF", "update the knowledge bundle", "capture this as a concept", or any work in a repo that has an OKF bundle.
okf-knowledge-format
Author and validate knowledge as OKF (Open Knowledge Format) bundles — a directory of markdown files with YAML frontmatter, where every concept is one .md file with a REQUIRED `type` field, reserved index.md/log.md files, bundle-relative cross-links, and a permissive conformance model. Use when standing up or maintaining a knowledge bundle/catalog, writing or normalizing a concept document's frontmatter, deciding how to structure markdown knowledge for agents to consume, or checking a corpus against OKF conformance. The canonical spec is vendored under reference/SPEC.md and refreshed from GitHub via scripts/update-spec.sh.