Content
70%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 skill is exceptionally actionable — verbatim questions, copy-paste code, exact endpoints, and per-language verification — and its workflow is gated and verifiable end to end. Its weakness is size and repetition: the 684-line body restates the same rules across many sections and inlines a large per-provider catalog that belongs in its reference files.
Suggestions
State the Prerequisites and "Ways to run the script" content once (in their own section) and have Steps 5–7 cross-reference it, instead of spelling out the ordering and the full inputs.env block twice.
Move the ~110-line "Catalog of calls" per-provider API details into references/ (e.g. one catalog file, or a file per provider), keeping only the onboarding rule and one worked example in SKILL.md.
Collect the ~30 inline "is a generation failure" prohibitions into a single generation checklist that Step 7 verifies once, instead of repeating each prohibition at every point it could be violated.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Noticeably verbose through pervasive duplication rather than concept explanation: "Do not ask \"Does this look fine?\" after writing" appears in both Step 5 and Step 7; the Prerequisites + "Ways to run the script" ordering and inputs.env block are spelled out twice (Steps 5–7 and again in their own sections); "is a generation failure" is repeated roughly 30 times inline; and the 415/boundary rules appear in Step 4, "ZIP and push", "Failures", and "Troubleshooting". Not 3 — the padding is whole duplicated sections, not occasional tightening; not 1 — there is no explanation of concepts Claude already knows and nearly every fact is novel product contract. | 2 / 5 |
Actionability | Fully executable throughout: verbatim customer questions ("What asset type does this scanner configuration accept? Reply with one of: agent, mcp, or rest-api."), copy-paste helpers (`_multipart_zip`, `_unquote_aws`), exact endpoints ("POST {ANYPOINT_BASE}/agent-scanner/api/v1/organizations/{org}/scanner-configurations/{config}/push"), a concrete FAILED block template, and per-language verification commands ("python3 -m py_compile FILE", "bash -n FILE", "node --check FILE"). Python-only snippets paired with "or the same behavior in the language they named" are explicitly justified flexibility, matching anchor 5. | 5 / 5 |
Workflow Clarity | A numbered Step 1–7 sequence with per-step stop conditions, an explicit gate — "[GATE] WAIT for an explicit yes to 'Does this look fine?' before writing files" — a repair loop ("If they say no, ask which row is wrong, fix the table, and ask again"), and post-generation validation ("Do not declare completion until the file parses in the named language and those searches are clean") plus a failure table with a "next:" recovery column. Explicit checkpoints and feedback loops for a batch upload operation — anchor 5. | 5 / 5 |
Progressive Disclosure | The "Reference files" section clearly signals all three real bundle files with read timing ("Read it before writing the upload and commit functions") and references are one level deep (scanner-contract.md only cross-references a sibling). But the ~110-line "Catalog of calls" per-provider API detail and deep AWS-specific rules (AgentCore invoke-URL construction, the `_unquote_aws` code) are inlined in SKILL.md where they clearly belong in the reference files. Not 4 — a substantial separable chunk sits inline; not 2 — structure is otherwise well organized with clearly signaled references. | 3 / 5 |
Total | 15 / 20 Passed |