Files
skills/tests/skills/axi-review/basic-cli-review/case.md
alexion e35ed9d05b feat: add efficacy-benchmark tracer bullet (task 0004)
Introduce the thinnest complete path that benchmarks a skill's efficacy
against a no-skill baseline and renders an HTML report.

- tests/ convention: a top-level tree mirroring skills/ by full path, with
  case directories holding a case.md (CASE-FORMAT.md) and an optional fixture.
- benchmark-skill: a distributed, non-model-invocable runner (/benchmark-skill
  <name>) that orchestrates force-invoked new-skill and skill-absent baseline
  arms plus a blind per-trial judge as in-session subagents.
- Deterministic core (Python): a pure transform over the collected run data
  that sums per-arm usage, collapses each trial to WIN/TIE/LOSS, applies the
  efficacy pass rule (wins >= 3, losses <= 1), and renders a self-contained
  report. Parameterized over arms and comparisons; two-arm here.
- Fixture-driven no-LLM check (checks/benchmark-core.nix) wired into flake.nix.
- Real tests tree for axi-review; a live run produced its efficacy report.
2026-07-24 08:55:55 -04:00

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Markdown

---
description: Review a tiny CLI against the 10 AXI principles and produce a report card.
---
## Prompt
There is a small command-line tool named `greet` in the current directory (`./greet`).
Review it against the 10 AXI (Agent eXperience Interface) principles by running it black-box, and give me a report card that scores each principle with a concrete verdict and a fix for anything that isn't a clean pass.
## Hard assertions
```sh
grep -qiE 'AXI|principle' "$OUTPUT"
grep -qiE 'PASS|PARTIAL|FAIL' "$OUTPUT"
```
## Soft criteria
- The review scores each of the 10 AXI principles with an explicit verdict grounded in the tool's actual observed output, not in guesses about its source.
- Every principle that is not a clean pass carries a concrete, actionable fix.
- The review is driven by running the `greet` tool and citing what it emitted, rather than by generic CLI advice.