Content
76%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 lean, highly actionable, and well-structured with a real script bundle backing the commands. Its main weakness is the destructive execute workflow, which relies on the dry-run default rather than an explicit validation/confirmation checkpoint before placing live orders.
Suggestions
Add an explicit validation checkpoint between dry-run and execute — e.g. 'Show the dry-run report, confirm with the user, then re-run with --execute' — to satisfy the destructive/batch feedback-loop requirement.
Consider moving the full JSON output structure and the architecture function listing into a short reference file, keeping SKILL.md as a tighter overview.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Efficient and assumes Claude's competence — no padding or basic-concept explanations — though the inline JSON output block and architecture function listing could be trimmed slightly. | 4 / 5 |
Actionability | Fully executable, copy-paste-ready commands covering dry-run, execute, and forced modes (e.g. 'uv run python .claude/skills/ib-trailing-stop/scripts/trailing_stop.py --symbols JOBY --trail-pct 20 --execute'), with a complete arguments table and concrete JSON output schema. | 5 / 5 |
Workflow Clarity | A clear three-step sequence exists (run script, format report, report to user) and dry-run-by-default is an implicit safety checkpoint, but the destructive/batch execute path lacks explicit validation checkpoints or a verify-then-execute feedback loop, capping workflow clarity at 3 per the rubric. | 3 / 5 |
Progressive Disclosure | Well-organized into clearly headed sections with the executable logic correctly split into the bundled scripts/trailing_stop.py (the path referenced in the commands is a real bundle file) and no nested reference chains; minor organization gaps only. | 4 / 5 |
Total | 16 / 20 Passed |