SuperAPI AI Directory

meter-benchmark

Testing & quality

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Updated 10-23 23:07

About this skill

Your objective is to establish a measured p-hat baseline before optimizing a flow template, wisdom rule, or skill.

Command

$meter benchmark --flow <template>

Run or read the requested template's benchmark history, then report:

  • number of runs,
  • per-stage success probability,
  • confidence interval,
  • average token cost,
  • average elapsed time,
  • failure classes observed.

Write results to .cocoplus/meter/template-benchmarks.jsonl.

Exit Criteria

  • No optimization is recommended without a measured baseline.
  • Stage-level p-hat is reported separately from whole-flow success.
  • Benchmark results include cost and confidence, not only pass/fail count.

Anti-Rationalization

Shortcut / Temptation Why It Fails
Treat the skill as complete because the file exists Skill contracts must describe observable behavior and verification, not just command names.
Skip artifact and safety checks for a small command Small commands still mutate state or guide execution; preserve the same gates.