| name | run-iteration-eval |
| description | Run the Logic-Lens content-eval pipeline for one iteration and produce a scored summary.json — use to measure a skill change. Wraps scripts/run-content-evals.sh (runner, costs tokens) and scripts/grade-iteration.py (grader, free, re-runnable). ALWAYS sync the plugin cache first. Use when the user wants to "run the evals", "score this iteration", "measure the skill change", "smoke-test before the full run", or "re-grade existing outputs". |
| disable-model-invocation | true |
run-iteration-eval
Measures a skill change by running the content cases in evals/content/v2/evals-v2.json through
claude -p and grading the outputs. Outputs land in skills-workspace/iteration-<TAG>/.
The runner and grader are split on purpose: running calls Claude and costs tokens; grading
is pure regex Python and is free to re-run on outputs that already exist. Never re-run the runner
just to re-score — re-grade instead.
Steps
-
Sync the cache first — non-negotiable. The runner loads the skill from the plugin cache,
not skills/. Run the sync-skill-cache skill (or its script directly). If you skip this, the
eval grades the previously-published skill and the entire run is wasted:
bash .claude/skills/sync-skill-cache/scripts/sync-cache.sh
-
Pick a scope. Full runs cost real tokens; scope down while iterating:
SMOKE=1 bash scripts/run-content-evals.sh
CASES="200 201 202" bash scripts/run-content-evals.sh
TAG=myfix bash scripts/run-content-evals.sh
bash scripts/run-content-evals.sh
The runner is idempotent — a case with an existing output.md is skipped. Delete the
eval-<id>/ dir to force a re-run of that case.
-
Read summary.json in the iteration dir. It carries overall pass rate plus the per-mode and
per-subscore (logic vs format) breakdown. The logic subscore reflects reasoning quality;
format reflects Output-Skeleton compliance and is the historical bottleneck with high
single-run variance. Judge a change on the right subscore — a format wobble is not a reasoning
regression.
-
Re-grade without re-running (free) after editing the grader or to recompute on existing
outputs:
python3 scripts/grade-iteration.py skills-workspace/iteration-<TAG>
-
Single-iteration grade without the full suite — when you already have outputs and only want
the score table, grade-iteration.py <iteration-dir> is the cheapest path (see scripts/README.md).
Variance caveat
logic-review single-run scores are variance-dominated (see project memory). One run is a signal,
not a verdict — for a decision near the margin, run the affected cases 2–3× or widen the case set
before concluding a change helped or hurt. Hand the result to iteration-guard for the
ship/rollback call rather than eyeballing a single number.
