sk-prompt-small-model

sk-prompt-small-model is a Prompt design & optimisation skill for AI agents, published by MichelKerkmeester in the opencode--skilled-agent-loops-with-spec-kit-memory repository on GitHub. Skillspace rates sk-prompt-small-model B (80/100) and it passed the safety scan; the rating is based on static analysis only.

Per-model prompt-craft hub for small-model dispatch (DeepSeek-v4-pro + Kimi-k2.7-code + MiniMax-M3 + MiMo-V2.5-Pro via cli-opencode). OWNS the per-model prompt-craft profiles in references/models/ (framework + scaffold + gotchas, mirroring model_profiles.json); executor MECHANICS (binary flags, invocation wrappers) stay in cli-opencode. Advisor co-surfaces it with that executor.

Grade
B
Quality
80 / 100
Safety
Passed
GitHub stars
28

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubMichelKerkmeester/opencode--skilled-agent-loops-with-spec-kit-memory

Our review

Architecture
94 / 100
Maturity
Structured: ships references or scripts
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

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