scanner-pmcc — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited scanner-pmcc (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Finds optimal Poor Man's Covered Call setups by scoring symbols on option chain quality.
Buy deep ITM LEAPS call (delta ~0.80) + Sell short-term OTM call (delta ~0.20) against it. Cheaper alternative to covered calls.
Note: Ifuvis not installed orpyproject.tomlis not found, replaceuv run pythonwithpythonin all commands below.
uv run python scripts/scan.py SYMBOLS [options]SYMBOLS - Comma-separated tickers or path to JSON file from bullish scanner--min-leaps-days - Minimum LEAPS expiration in days (default: 270 = 9 months)--leaps-delta - Target LEAPS delta (default: 0.80)--short-delta - Target short call delta (default: 0.20)--output - Save results to JSON file (use this; Claude generates the report from the JSON)--report - Save auto-generated markdown to file (programmatic fallback only — prefer Claude-generated reports)| Category | Condition | Points |
|---|---|---|
| Delta Accuracy | LEAPS within ±0.05 | +2 |
| LEAPS within ±0.10 | +1 | |
| Short within ±0.05 | +1 | |
| Short within ±0.10 | +0.5 | |
| Liquidity | LEAPS vol+OI > 100 | +1 |
| LEAPS vol+OI > 20 | +0.5 | |
| Short vol+OI > 500 | +1 | |
| Short vol+OI > 100 | +0.5 | |
| Spread | LEAPS spread < 5% | +1 |
| LEAPS spread < 10% | +0.5 | |
| Short spread < 10% | +1 | |
| Short spread < 20% | +0.5 | |
| IV Level | 25-50% (ideal) | +2 |
| 20-60% | +1 | |
| Yield | Annual > 50% | +2 |
| Annual > 30% | +1 | |
| Trend | Price > SMA50 | +1 / -1 |
| RSI > 50 | +0.5 / -0.5 | |
| MACD > signal | +0.5 / -0.5 | |
| Earnings | Next earnings > 45 days | +1.0 |
| Earnings within 45 days | -1.0 | |
| Earnings within short expiry | -2.0 |
Returns JSON with:
criteria - Scan parameters usedresults - Array sorted by score:symbol, price, iv_pct, pmcc_score, max_possible_score (always 14)leaps - expiry, strike, delta, iv (calculated from bid/ask), last_price, bid/ask, spread%, volume, OIshort - expiry, strike, delta, iv (calculated from bid/ask), last_price, bid/ask, spread%, volume, OIearnings_date - next earnings date (YYYY-MM-DD) or nullmetrics - net_debit, short_yield%, annual_yield%, capital_requiredscore_breakdown - every scoring component as a <name>_delta (float) + <name> (explanation string) pair:leaps_delta, short_delta, leaps_liquidity, short_liquidity, leaps_spread, short_spread, iv, yieldtrend_delta, trend (per-indicator dict)earnings_delta, earnings_delta values sum to pmcc_scoreerrors - Symbols that failed (no options, insufficient data)When the user asks for a report, a written analysis, or a saved document:
--output to capture JSON data: uv run python scripts/scan.py SYMBOLS --output sandbox/PMCC_Scan_YYYY-MM-DD_HHmm.jsontemplates/markdown-template.md. Do not use the --report flag — that produces mechanical string output. Claude-generated reports include real analysis, contextual warnings, and trader-relevant narrative.sandbox/PMCC_Scan_YYYY-MM-DD_HHmm.md (match the JSON timestamp).# Scan specific symbols
uv run python scripts/scan.py AAPL,MSFT,GOOGL,NVDA
# Scan and save JSON for report generation
uv run python scripts/scan.py AAPL,MSFT,GOOGL --output sandbox/PMCC_Scan_2026-01-15_1430.json
# Use output from bullish scanner
uv run python scripts/scan.py bullish_results.json
# Custom delta targets
uv run python scripts/scan.py AAPL,MSFT --leaps-delta 0.70 --short-delta 0.15
# Longer LEAPS (1 year minimum)
uv run python scripts/scan.py AAPL,MSFT --min-leaps-days 365IV is always computed from market price data via Black-Scholes, never taken from Yahoo Finance's impliedVolatility column:
This applies to both compute_atm_iv (used for scanner baseline IV) and per-option delta calculations.
max_possible_score is always 14 — use pmcc_score / max_possible_score to gauge how close a candidate is to perfectnumpypandasscipyyfinanceAll timestamps and time-based calculations must use the America/New_York timezone. All JSON output must include generated_at (NY time string) and data_delay fields.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.