Content
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is actionable and well-structured with real one-level-deep references and a navigation table, but it loses conciseness to verbatim duplication between Instructions and Examples, and its numbered steps are a command menu rather than a checkpointed workflow.
Suggestions
Remove the Examples section's verbatim repeats of the Instructions commands, or fold examples into the Instructions to eliminate the duplication.
If a genuine multi-step simulation workflow is intended, add explicit validation/verification checkpoints (e.g. confirm RPC connectivity and price freshness before reporting a verdict) rather than listing commands as independent options.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient with concrete bash commands and a compact error table, but the Instructions steps (1–3) are duplicated verbatim in the Examples section, adding padding that could be tightened. | 2 / 3 |
Actionability | Provides fully executable, copy-paste-ready commands with specific flags and arguments, e.g. 'python ${CLAUDE_SKILL_DIR}/scripts/flash_simulator.py arbitrage ETH USDC 100 --dex-buy uniswap --dex-sell sushiswap'. | 3 / 3 |
Workflow Clarity | Commands are individually clear and an error cause/solution table aids recovery, but the numbered Instructions present a menu of independent variants rather than a sequenced workflow with explicit validation checkpoints. | 2 / 3 |
Progressive Disclosure | Clear overview with well-signaled one-level-deep references — implementation.md, errors.md, and examples.md are each referenced for their specific topic and all exist as real bundle files — with a Contents table for easy navigation. | 3 / 3 |
Total | 10 / 12 Passed |