Content
71%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 exceptionally actionable, with exact commands, flags, and fail-closed policies throughout, and its workflow is coherent with real validation checkpoints. Its weaknesses are length and placement: ~340 lines of dense edge-case policy live in SKILL.md instead of one-level-deep reference files, hurting both token efficiency and navigation.
Suggestions
Move the per-model retry/effort matrices (GPT-6.1 Sol, GPT-6 Sol, Luna, Astra fallback rules) and the Codex provider-projection/authentication detail into a references/engine-configuration.md file, keeping only the default model, --engine/--model/--thinking flags, and one example in SKILL.md.
Relocate rarely-needed operational policy (autocrlf precedence, clean/filter driver handling, macOS temp isolation, catalogue byte-copy rules) into the existing diagnostics-and-results.md or a new references/runtime-details.md, leaving the core run/target/severity workflow in the main body.
Tighten the remaining dense paragraphs into short imperative bullets (e.g., the Git-target and image-review sections) so the core workflow is scannable in a fraction of the current token budget.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body never explains concepts Claude already knows and every rule is project-specific, but at ~340 lines (21 KB) it is heavily padded with edge-case policy (autocrlf precedence, catalogue byte-copy semantics, per-model retry matrices) delivered in long dense paragraphs that could be substantially tightened. Accurate verbosity still costs tokens, matching 'mostly efficient but could be tightened' rather than anchor 4's minor trims. | 3 / 5 |
Actionability | Commands are copy-paste ready and complete: the run snippet with $AUTOREVIEW, the PR merge-base recipe using gh and git merge-base, the --source-context and --codex-config examples with exact flags, model names, and environment variables. The mode-selection table maps each target to concrete arguments. | 5 / 5 |
Workflow Clarity | The sequence is coherent (read the diagnostics reference first, run the helper, choose the Git target from the table, select engine and severity threshold, follow diagnostics for results) and checkpoints exist (--dry-run, validated JSON, exit code 2 semantics, fail-closed behavior). It falls short of anchor 5 because the ordering is implied by prose rather than an explicit sequence, and several validation details are deferred to the referenced file. | 4 / 5 |
Progressive Disclosure | Both references (diagnostics-and-results.md, repository-entrypoint.md) are real, clearly signaled, and one level deep. However, large amounts of rarely-needed operational detail — engine retry/fallback matrices, macOS temp isolation, provider catalogue and authentication-path rules, image size limits — are inlined in SKILL.md where a reference file belongs, matching 'content that should be separate is inline.' | 3 / 5 |
Total | 15 / 20 Passed |