Content
85%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 well-engineered skill body: executable end-to-end code, explicit validation checkpoints and error-recovery loops for single jobs, batches, and chaining, and a clean one-level-deep reference structure. The only weakness is redundancy — several high-value footguns (bare-filename S3 scoping, the `source` field, full-list /tools behavior) are repeated two to three times, inflating token cost without adding information.
Suggestions
Consolidate the bare-filename-vs-email-prefix rule into one canonical statement in "File inputs" and cross-reference it from the Foot-gun and validateJob-notes paragraphs, instead of explaining it three times in the same section.
Deduplicate the `source: "static-fallback"` explanation, which appears in both "Job settings, schemas, and validation" and the "validateJob notes" — keep one and link the other.
State "REST /tools returns the full list; filter client-side" once (e.g., in "Discovering tools") and trim its restatements in the Core workflow comments and tool_catalog reference.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient and rich in non-obvious platform knowledge Claude cannot know (response shapes, bare-filename S3 scoping, batchStatus polling), but the same footguns are restated multiple times: the bare-filename-not-email-prefix rule appears three times within "File inputs" (list item 1, the Foot-gun paragraph, and the validateJob notes), the `source: "static-fallback"` explanation appears in both "Job settings, schemas, and validation" and "validateJob notes", and "REST /tools returns the full list; filter client-side" is repeated across Core workflow, Discovering tools, and tool_catalog.md. This is more than the 'minor instances' of anchor 4, so it sits at anchor 3: could be meaningfully tightened by consolidating each repeated rule into one canonical statement. | 3 / 5 |
Actionability | Fully executable, copy-paste-ready coverage of the common cases: a complete discover→submit→poll→download Python script with a real sequence and payload, a runnable batch polling loop with terminal-status and aggregation-error handling, a curl auth example, MCP tool signatures with argument lists, and exact response shapes and error strings ("The following files have not been uploaded: <email>/<file>"). Matches anchor 5; not score 4 because the examples cover the core single-job, batch, file-input, and chaining cases with no gaps. | 5 / 5 |
Workflow Clarity | The canonical loop is stated explicitly ("Always follow discover → schema → validate → submit → poll → results") and echoed in numbered code comments, with an explicit pre-submit validation checkpoint ("Always `validateJob` (MCP) before submitting — it's the reliable guard") and feedback loops for error recovery (error-code table mapping to actions, `getJobLogs` on `Stopped`, break on all terminal statuses, raise on `AggregationFailed`). Batch operations — the rubric's cap trigger — are fully covered by validate-before-submit and batchStatus polling, so the workflow cap does not apply. Matches anchor 5. | 5 / 5 |
Progressive Disclosure | The body is an overview of behaviors and gotchas that appropriately delegates bulk material to four real, one-level-deep reference files (examples.md, api_reference.md, tool_catalog.md, workflows.md — all present in ./references/), each clearly signaled inline and summarized with its purpose in the closing "Reference files" section. No nested reference chains, and no API-reference dump inlined in the body (the endpoint table lives in api_reference.md). Matches anchor 5. | 5 / 5 |
Total | 18 / 20 Passed |