Content
77%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is an actionable, well-sequenced operations manual with copy-paste commands, explicit validation gates, and retest feedback loops — excellent on actionability and workflow clarity. It loses points on token efficiency (wordy rationale sections and stale question/skill counts) and on progressive disclosure, since references/benchmark-guide.md exists in the bundle but is never referenced from the body.
Suggestions
Link references/benchmark-guide.md from the body (e.g., under 'Available benchmarks': 'Per-benchmark breakdowns, coverage, and score history: see references/benchmark-guide.md') so the sole reference file is discoverable, and reconcile its stale question counts (61 vs the body's 205) with the body's tables.
Move volatile, time-sensitive numbers (question counts like 205/20, sub-skill count 113, current best scores) into benchmark-guide.md or a tracking file, keeping only structural facts in SKILL.md so the body does not drift.
Tighten the APPEND_CONVENTIONS section: replace the multi-sentence rationale with one line ('APPEND_CONVENTIONS=1 forces conventions into every system prompt — measures convention correctness; default mode measures routing reliability; the gap is the routing problem') and trim the grader strategy list to a pointer at grade_answers.py.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient and command-first, but the APPEND_CONVENTIONS rationale paragraph and the plugin-architecture explanation are wordy, and it embeds drift-prone specifics ("205 computational", "113 sub-skills", "20 MCQ") that will go stale — time-sensitive numbers not quarantined in a deprecated section. It is not 4 because the trimming needed goes beyond minor instances, and not 2 because the bulk is genuinely operational rather than padded. | 3 / 5 |
Actionability | Fully executable copy-paste commands with flags throughout (run_harness_loop.sh, check_memorization.py, run_eval.py invocations), plus a worked diagnosis example showing the exact message to hand the devtu skill. Anchor 5: specific commands and examples cover the common cases. | 5 / 5 |
Workflow Clarity | The 5-step loop is explicitly sequenced with an orchestrated one-command runner, a validation gate ("Before accepting any skill edit ... run: check_memorization.py --all"), a root-cause verification procedure ("Run the script yourself — does it reproduce the GT value?"), and a retest feedback loop ("Compare: how many flipped from wrong to correct?"). Anchor 5: explicit validation steps and feedback loops for error recovery. | 5 / 5 |
Progressive Disclosure | Scripts are properly referenced one level deep and the body is well-sectioned, but the bundle's only references file (references/benchmark-guide.md) is never mentioned in the body, making it undiscoverable, and bulky detail (7 grader strategies, plugin architecture rationale, failure-pattern tables) is inlined where that reference file would be the natural home — the guide even duplicates body content with conflicting stale counts (61 vs 205 questions). Anchor 3 fits; not 4 because an entire bundle reference is un-signaled, which is more than a minor organization gap. | 3 / 5 |
Total | 16 / 20 Passed |