Composition Evaluate

Compare FlowGraph composition policies with fixed tasks, requested-versus-realized resources, failure injection, and an evidence claim gate

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Composition evaluation

Use this skill when a composition policy needs reproducible comparison against a single-pass baseline.

  1. Start from benchmarks/composition-policy-benchmark.v1.json and preserve fixed tasks, settings, budgets, seeds, metrics, and thresholds.
  2. Run aiwg composition benchmark <manifest.json>; use --raw-out and --summary-out to retain both evidence layers.
  3. Compare success-conditioned cost and latency, not unconditioned cheap failures. Review speed-of-accuracy and strict-LCM-versus-adaptive deltas.
  4. Require an independent or human evaluation path and inspect self-judge bias.
  5. Review every failure-injection outcome and recovery receipt.
  6. Keep synthetic conformance distinct from provider evidence. Do not open the claim gate without repeated trusted runs, independent evaluation, confidence intervals, and task-family replication.

Composition graphs remain flow.aiwg.io/v1alpha1 FlowGraph; do not introduce a fourth-level DNS API group. Do not request or persist private chain-of-thought.

@implements #2118

jmagly/aiwg/tree/main/agentic/code/addons/composition-engine/skills/composition-evaluate commit 85e732caa5

Frequently asked questions

npx skillmds@latest add jmagly/composition-evaluate