agentsop-prompt-compilation

agentsop-prompt-compilation is a Prompt design & optimisation skill for AI agents, published by agentsope in the SkillAlchemy repository on GitHub. Skillspace rates agentsop-prompt-compilation C (77/100) and it passed the safety scan; the rating is based on static analysis only.

The compile-readiness gate for prompt auto-optimization. Decide whether you have earned the right to run an optimizer (DSPy MIPROv2 / GEPA / BootstrapFewShot) before spending compute. Two preconditions only — a real metric, and enough examples for the optimizer you picked. Garbage metric in, garbage prompt out. Pick the optimizer by data scale; GEPA inverts the scale assumption (~10 examples + textual feedback).

Grade
C
Quality
77 / 100
Safety
Passed
GitHub stars
162

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 GitHubagentsope/SkillAlchemy

Our review

Architecture
100 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections
Scope
Vendor-specific: built around one product. Readiness gate for DSPy optimizers (MIPROv2, GEPA, BootstrapFewShot)

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
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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