grill-for-unknowns
grill-for-unknowns is a Discovery & requirements clarification skill for AI agents, published by Asymmetric-al in the core repository on GitHub. Skillspace rates grill-for-unknowns B (85/100) and it passed the safety scan; the rating is based on static analysis only.
Use only when the user explicitly invokes grill-for-unknowns or asks for a map-vs-territory unknowns pass, blindspot discovery, unknown-known prototypes, or a subagent launch packet before implementation.
- Grade
- B
- Quality
- 85 / 100
- Safety
- Passed
- GitHub stars
- 375
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded B with a clean safety verdict, but our quality filters exclude it: a model that read it found it written only for the repository it lives in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
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
- 97 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- AGPL-3.0
- Adoption
- Adopted by 0 other repositories, in 1 collections
- Scope
- Repo-internal: written for the repository it lives in. Explicit Asymmetric-al/core overlay, repo AGENTS.md and rulebooks
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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