Content
68%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 content is a well-organized, mostly lean analytical framework with a concrete JSON output template, but it reads as an output checklist rather than a sequenced workflow with validation. Adding an explicit analysis-to-synthesis process would lift workflow clarity.
Suggestions
Reframe Section 4 as an ordered process (gather indicators → form core thesis → quantify risks/targets → draft counterarguments → emit JSON) with a checkpoint to re-examine evidence against the thesis before output.
Point to concrete data sources or commands for the indicators (e.g., where to read on-chain active addresses or sentiment indexes) to close the actionability gap.
Trim generic Best Practices items like 'Be intellectually honest' and 'Avoid confirmation bias' that Claude already applies by default.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly lean bullet checklists that assume Claude knows terms like 'death cross' and 'FOMO' rather than explaining them, with only minor padding in the eight-item Best Practices section. | 4 / 5 |
Actionability | A copy-paste-ready JSON output template plus a structured bear-case framework (thesis, 3-5 risks, price targets, timeline, catalysts) give concrete guidance, though no data sources or retrieval methods are specified for gathering the indicators. | 4 / 5 |
Workflow Clarity | Section 4 lists output components rather than a sequenced process, and there are no explicit validation checkpoints or feedback loops; the sequence of analysis-to-output is only implicit. | 3 / 5 |
Progressive Disclosure | The skill is self-contained with no bundle files and is organized into clearly headed sections (Overview, Instructions, Output Format, Best Practices), though at ~118 lines it exceeds the simple-skill threshold that would allow a 5 on structure alone. | 4 / 5 |
Total | 15 / 20 Passed |