Content
86%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.
An exceptionally actionable, information-dense routing reference: every need maps to an exact command with flags, outputs and exit codes, and detailed material is correctly pushed into real one-level-deep reference files. The two dimensions at 4 reflect inline dated/versioned metadata that will age in place, and a top-level workflow that must be assembled from sections rather than read as one validated sequence.
Suggestions
Move time-sensitive provenance markers ('owner decision 2026-10-06', 'last verified 2026-10-06') into provider-survey.md or a dated verification section so SKILL.md stays evergreen (conciseness).
Add a short top-level 4-step sequence — run forge_doctor once per session, resolve or --dry-run, generate, hand the artifact to the owning skill for QA — so the session workflow reads as one validated checklist instead of being implied across sections (workflow_clarity).
State what generate_media.py batch validates per job (or point to the reference that defines it), since batch operations without stated validation cap workflow clarity (workflow_clarity).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and operational throughout — need-to-command tables, env var names, config paths, exit codes — with no explanations of concepts Claude already knows, so it is well above anchor 3. It stops short of anchor 5 ('every token earns its place') because of inline time-sensitive details: '(owner decision 2026-10-06)', 'last verified 2026-10-06, with the shutdown dates', and version-pinned model lists ('gpt-image-2.5-sunburst', 'gemini-3.1-flash-image') that will age and could largely live in the referenced files, matching anchor 4's 'minor instances of over-explanation that could be trimmed'. | 4 / 5 |
Actionability | Fully executable, copy-paste-ready commands with concrete flags cover the common cases: 'route_media.py image --prompt-file <txt> --reference <png> --size 1024x1024 --out-dir <new>', 'video --prompt-file <txt> --reference <still.png> --last-frame <still.png> --duration 6 --resolution 720p', '--dry-run', and lower-level entries like 'cli_media.py adopt --codex-thread <thread-id> --output-dir <new>'. Expected outputs and exit codes are specified exactly ('exits 0', '{"status":"no-route",...} and exits 3', 'one error: <route>: <code>: <message> line and exits 1'); nothing is pseudocode or merely descriptive. | 5 / 5 |
Workflow Clarity | Route order is an explicit numbered sequence with fallback and error rules ('a route whose account cannot serve the request... passes it to the next route; a refusal such as moderation stops', 'no-route... exit 3' to codeart2d), plus recovery paths ('cli_media.py resume --run <id>, then --adopt (never reruns the CLI)') and pre-spend checkpoints (--dry-run, forge_doctor once per session). It is not 5 because the top-level session flow — doctor, resolve/dry-run, generate, hand off for QA — is implied across sections rather than presented as one validated sequence, and the batch commands ('generate_media.py batch') carry no stated per-job validation here. | 4 / 5 |
Progressive Disclosure | A ~68-line overview whose detail is appropriately split into real, verified, one-level-deep bundle files: 'Details: [route-media.md](references/route-media.md)', '[api-usage.md](references/api-usage.md)', '[cli-routes.md](references/cli-routes.md)', 'Providers: [provider-survey.md]', 'capabilities: references/capabilities.json', 'prices: references/prices.json', 'data contracts: references/schemas/media.schema.json', 'Agent setups: [agent-profiles/README.md]' — every cited path exists on disk, and no reference chain nests deeper than one level. This matches anchor 5's 'clear overview with well-signaled one-level-deep references; content appropriately split; easy navigation'. | 5 / 5 |
Total | 18 / 20 Passed |