Content
46%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 delivers a well-sequenced, highly actionable options-analysis workflow with concrete commands and templates, but it is roughly three times longer than needed: it re-teaches Black-Scholes and Greeks that Claude already knows and that already live in the bundled reference and script. Progressive disclosure is the weakest area — five of the eight listed bundle files do not exist while their content is partially duplicated inline.
Suggestions
Delete the inlined Black-Scholes formula derivations and per-Greek Python implementations from Steps 3-4 and point to the existing references/black_scholes_methodology.md and scripts/black_scholes.py instead — this alone would cut the body by roughly a third.
Fix the Resources section to reflect the actual bundle: remove or clearly mark the nonexistent files (strategies_guide.md, greeks_explained.md, volatility_guide.md, strategy_analyzer.py, earnings_strategy.py), or create them before advertising them.
Add explicit validation checkpoints to the workflow — e.g., after fetching FMP data verify the price is positive and within a sane range, and after pricing compare the theoretical value against any user-provided market quote before proceeding to simulation.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The ~985-line body extensively restates textbook knowledge Claude already has — the full Black-Scholes formula derivation, per-Greek definitions and interpretation tables, and complete Python implementations of every Greek — all of which duplicate the existing 147-line references/black_scholes_methodology.md and 549-line scripts/black_scholes.py. Time-sensitive details ('~5.3% as of 2025', 'Last Updated: 2025-11-08') further penalize per the guidelines. It is not a 1 because there is genuinely skill-specific material (FMP data fetching, strategy workflows, output templates) interleaved with the padding. | 2 / 5 |
Actionability | Mostly executable: copy-paste-ready CLI invocations ('python3 scripts/black_scholes.py --ticker AAPL --api-key $FMP_API_KEY'), runnable Python for pricing and Greeks, and a complete report template with a file-naming convention. Not a 5 because several snippets are illustrative rather than complete — calculate_pnl() references an undefined 'strategy.legs' object, 'from earnings_calendar import get_next_earnings_date' depends on another skill with no fallback, and the ASCII-diagram function references an undefined strategy_name variable. | 4 / 5 |
Workflow Clarity | A clear 9-step sequence (gather inputs → HV → price → Greeks → simulate P/L → diagram → strategy-specific → earnings → risk management) with Objective/Method/Output per step, but validation checkpoints are absent or implicit — no step verifies API data, sanity-checks theoretical vs. market prices, or confirms inputs before simulating. The Troubleshooting section lists problem/solution pairs but is not wired into the workflow as feedback loops, matching the anchor 'steps listed but validation gaps'. | 3 / 5 |
Progressive Disclosure | Scored against the actual bundle: only references/black_scholes_methodology.md, scripts/black_scholes.py, and scripts/tests/ exist, yet the Resources section points to three nonexistent reference files marked '(future)' (strategies_guide.md, greeks_explained.md, volatility_guide.md) and two nonexistent scripts (strategy_analyzer.py, earnings_strategy.py). Meanwhile the Black-Scholes math and all Greeks implementations are inlined in the body despite duplicating the existing reference and script — 'content that clearly belongs in separate files is inlined'. Section headers exist, which keeps this above a 1, but the phantom references actively mislead navigation. | 2 / 5 |
Total | 11 / 20 Passed |