Content
72%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 lean, highly actionable reference for cross-market strategy writing: executable code, concrete parameter tables, and a clear statement of what the engine handles so the strategy author doesn't duplicate it. Its main weaknesses are the absence of any verification step in the workflow and a Supporting Files link that points to a nonexistent file.
Suggestions
Fix or remove the example_signal_engine.py link — either ship the file in the bundle (e.g. under references/) or drop the Supporting Files section until it exists.
Add a short validation step, e.g. 'After writing signal_engine.py, run the config.json backtest and confirm each symbol is routed to the correct market loader before iterating on parameters.'
Define or point to MARKET_PARAMS / _detect_market / _market_signal (or note they live in the example file) so the generate() snippet is self-contained.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean throughout: 'Group symbols by market type and apply market-specific indicator parameters', a compact parameter table, and 'Different markets have very different dynamics. Using the same parameters everywhere produces poor results.' — no filler, no explanation of concepts Claude already knows, and every table/code block earns its tokens. This matches 'Lean and efficient; assumes Claude's competence; every token earns its place'. | 5 / 5 |
Actionability | Mostly executable guidance: a concrete generate() implementation, a working _vol_adjust() implementation, a complete config.json example, and concrete parameter/detection tables. Minor gaps keep it below 5: MARKET_PARAMS, _detect_market, and _market_signal are referenced but never defined, and the linked complete example (example_signal_engine.py) does not exist in the bundle. | 4 / 5 |
Workflow Clarity | The Key Concepts sections imply a workable sequence (classify markets → per-market params → vol-adjust → signal patterns → engine handles X), but it is concept-organized rather than an explicit ordered workflow, and there is no validation checkpoint (e.g. 'run the backtest and confirm the engine routes each symbol correctly'). This matches 'Steps listed but validation gaps; sequence present but checkpoints missing or implicit'. | 3 / 5 |
Progressive Disclosure | The body has clear section structure and appropriately inlines the concise tables, and the 'Supporting Files' section clearly signals one reference — but that reference ('[example_signal_engine.py](example_signal_engine.py)') points to a file that is not present in the bundle (no references/, scripts/, or assets/ directories exist). Structure is present, yet the single external reference is broken and inlined content like the market-detection table could arguably live in the referenced example file, matching 'Some structure but could be better organized'. | 3 / 5 |
Total | 15 / 20 Passed |