Content
42%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 body is an auto-generated data dump: a redundant, partially-truncated table plus duplicated detail sections, with no workflow for actually applying the signals to an entry decision. It is organized by headers but lacks conciseness and a clear decision procedure.
Suggestions
De-duplicate: keep either the summary table or the detailed entries, not both, and expand the truncated signal names so every row is actionable.
Move the bulk signal catalog to a reference file (e.g. references/signals.md) and have SKILL.md summarize the top patterns plus a link, reducing inline tokens.
Add a short decision workflow with a validation checkpoint (e.g. 'confirm confidence >= 70% and success rate >= 60% before opening; otherwise skip') so the reference translates into an actionable entry procedure.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | A 30-row table is followed by a 'Signal Details' section that repeats much of the same data, and entries are truncated mid-phrase ('Multi-timeframe bullish alignment (...'); time-sensitive clutter ('Last updated', 'First seen', other-agent names) adds padding. | 2 / 5 |
Actionability | Concrete guidance exists for the five fully-detailed signals (timeframes, risk-validation requirements), but 25 of 30 table entries are truncated so key details are missing, and metadata like 'skill_aware_oss uses this' is not actionable. | 3 / 5 |
Workflow Clarity | There is no decision procedure or sequence for applying signals to an entry decision, and opening positions is a consequential action with no validation/checklist steps, which caps this dimension at 3. | 3 / 5 |
Progressive Disclosure | Sections (table, details, confidence guide) are present and there are no external bundle files, but the large 30-signal data table is inlined in SKILL.md when it would be better placed in a separate reference file. | 3 / 5 |
Total | 11 / 20 Passed |