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Deterministic benchmark harnesses for public template exemplars.
Passed 19 of 21 test cases with the skill, and 7 of 21 without it.
and 13 more in the full report
13 fixed8 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
We need to re-initialize our default benchmark manifest for public exemplar checks. Can you run the infrastructure benchmark command to write out the base manifest configuration file into the project root?
| Checked | Without skill | With skill |
|---|---|---|
| Recommends running uv run python -m infrastructure.benchmark | Missed | Passed |
| Includes the --write-default-manifest flag | Missed | Passed |
The instructions your model reads when the skill loads.
Use infrastructure.benchmark for small, deterministic readiness benchmarks over public template exemplar outputs. The module reads real files, applies explicit manifest checks and optional weighted rubrics, and emits JSON or Markdown score reports.
uv run python -m infrastructure.benchmark --repo-root .
uv run python -m infrastructure.benchmark \
--repo-root . \
--output-json /tmp/template_benchmark.json \
--output-markdown /tmp/template_benchmark.md
uv run python -m infrastructure.benchmark \
--repo-root . \
--write-default-manifest
BenchmarkManifestBenchmarkCheckResultBenchmarkScoreRubricScoreRubricSetload_benchmark_manifestrun_benchmark_manifestscore_project_against_manifestscore_rubricscores_to_dictscores_to_markdowntest cases passed, vs 7 / 21 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.