Content
87%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is lean, highly actionable, and well-structured with verified one-level-deep references; the only gap is an implicit rather than explicit validation checkpoint in the fetch workflow.
Suggestions
Add an explicit checkpoint after ticker resolution, e.g. "If cik_for returns None, the ticker is not a U.S. listing — stop and tell the user rather than proceeding."
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense yet lean: every section delivers specifics Claude would not infer (zero-padded 10-digit CIK, case-sensitive us-gaap metric names, ISO date strings, envelope vs. dict return shapes) without padding with concepts Claude already knows. | 3 / 3 |
Actionability | Provides concrete executable guidance — copy-paste JSON tool invocations and a real Python import block with inline return-value comments — plus a pointer to a runnable end-to-end script, matching the fully-executable anchor. | 3 / 3 |
Workflow Clarity | The ticker → CIK → filings → metric series sequence is shown clearly and the unlisted-ticker failure case ("None if not in the SEC table") is noted inline, but there is no explicit validate-then-proceed checkpoint or error-recovery feedback loop around the CIK-resolution step. | 2 / 3 |
Progressive Disclosure | SKILL.md is an overview that signals one-level-deep references via a dedicated Reference Docs section (four files, each described) and a Scripts section, and every referenced path (sec_edgar_client.md, get_sec_filings_tool.md, endpoints_and_limits.md, forms_and_concepts.md, sec_filings_example.py) resolves to a real bundle file. | 3 / 3 |
Total | 11 / 12 Passed |