Content
75%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.
A strong, well-structured reference document: mostly lean, highly actionable with exact API mappings and a complete runnable template script, clearly sequenced workflows with a pre-save checklist, and a properly signaled one-level-deep bundle reference. The main improvements are eliminating duplication between the inline skeleton and scripts/cta_template.py, adding the missing imports that keep code snippets from being copy-paste ready, and turning the quality checklist into an explicit validate-fix-recheck loop.
Suggestions
Add the missing imports to code snippets (`from datetime import datetime` in the backtesting example; `Interval` in the multi-timeframe example) so they run as-is.
Trim the overlap between the inline Full Template and scripts/cta_template.py — e.g. keep a compact skeleton inline and point to the script for the full version, and drop the GitHub-stars promotional line.
Convert the Quality Checklist into an explicit feedback loop ("if any check fails, fix and re-verify before saving") to strengthen the validation checkpoint.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and reference-shaped — tables, skeletons, and exact mappings rather than explanations of concepts Claude already knows — with only minor trimmable padding: the promotional "39k+ GitHub stars" line and the inline skeleton that substantially duplicates scripts/cta_template.py. Not anchor 5 because a few tokens still don't earn their place; well above anchor 3's noticeable over-explanation. | 4 / 5 |
Actionability | Highly executable guidance: a canonical class skeleton, an exact pandas/ta-lib→ArrayManager mapping table, a Signal→Order mapping table with price/volume conventions, and a concrete BacktestingEngine snippet with real parameter values. Minor gaps keep it from anchor 5: the backtest snippet omits `from datetime import datetime`, the multi-timeframe example uses `Interval` without importing it, and the main template uses {{placeholder}} tokens (justified for a generator, but not copy-paste ready). | 4 / 5 |
Workflow Clarity | Two clearly sequenced numbered workflows (export-from-run and generate-from-description) with explicit input reads (config.json, signal_engine.py), plus a Quality Checklist serving as a pre-save validation gate. Not anchor 5 because there is no explicit fix-and-revalidate feedback loop (checklist items are stated but no "if a check fails, fix and re-check" path), though the operation is file generation, so the destructive/batch cap does not apply. | 4 / 5 |
Progressive Disclosure | The body is well-sectioned with clear navigation, and its one bundle reference — "See scripts/cta_template.py for a complete, runnable example (MA crossover)" — is clearly signaled, one level deep, and verified to exist as a complete runnable example. Minor gap: the full inline template largely duplicates the referenced script, so content placement could be tightened; not anchor 2/3 since the structure is genuinely good and references are not buried. | 4 / 5 |
Total | 16 / 20 Passed |