contextualize
contextualize is a Structured reasoning & decision frameworks skill for AI agents, published by jongwony in the epistemic-protocols repository on GitHub. Skillspace rates contextualize D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Detect application-context mismatch after execution. Verifies applicability when correct output may not fit the actual context, registering each mismatch through a fail-closed deficit-fit certificate before adaptation, producing contextualized execution. The transformative revalidation loop is non-monotone — adapting the result mutates the evaluation target and can breed emergent mismatches; re-scan is mandatory. This is the non-monotone/transformative side of the contextualize ↔ distill boundary (distill is the monotone/read-only-of-source side). Type: (ApplicationDecontextualized, AI, CONTEXTUALIZE, Result) → ContextualizedExecution. Alias: Epharmoge(ἐφαρμογή).
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 124
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 90 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.