Agent skill

Scanner Pmcc

Scan stocks for Poor Man's Covered Call (PMCC) suitability. An agent skill from staskh/trading_skills.

MITAuto-check passedBusiness, Finance & HR

Install Scanner Pmcc

skills CLI

$ npx skills add staskh/trading_skills --skill scanner-pmcc -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install staskh/trading_skills scanner-pmcc --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/staskh/trading_skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/scanner-pmcc .claude/skills/scanner-pmcc && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "scanner-pmcc" agent skill from https://github.com/staskh/trading_skills/tree/main/.claude/skills/scanner-pmcc into .claude/skills/scanner-pmcc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scanner-pmcc", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/staskh/trading_skills/tree/main/.claude/skills/scanner-pmcc

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add staskh/trading_skills --skill scanner-pmcc -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install staskh/trading_skills scanner-pmcc --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/staskh/trading_skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/scanner-pmcc .agents/skills/scanner-pmcc && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "scanner-pmcc" agent skill from https://github.com/staskh/trading_skills/tree/main/.claude/skills/scanner-pmcc into .agents/skills/scanner-pmcc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scanner-pmcc", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add staskh/trading_skills --skill scanner-pmcc -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install staskh/trading_skills scanner-pmcc --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/staskh/trading_skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/scanner-pmcc .cursor/skills/scanner-pmcc && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "scanner-pmcc" agent skill from https://github.com/staskh/trading_skills/tree/main/.claude/skills/scanner-pmcc into .cursor/skills/scanner-pmcc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scanner-pmcc", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/staskh/trading_skills.git --path .claude/skills/scanner-pmcc

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add staskh/trading_skills --skill scanner-pmcc -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install staskh/trading_skills scanner-pmcc --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/staskh/trading_skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/scanner-pmcc .gemini/skills/scanner-pmcc && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "scanner-pmcc" agent skill from https://github.com/staskh/trading_skills/tree/main/.claude/skills/scanner-pmcc into .gemini/skills/scanner-pmcc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scanner-pmcc", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install staskh/trading_skills scanner-pmcc

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add staskh/trading_skills --skill scanner-pmcc -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/staskh/trading_skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/scanner-pmcc .github/skills/scanner-pmcc && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "scanner-pmcc" agent skill from https://github.com/staskh/trading_skills/tree/main/.claude/skills/scanner-pmcc into .github/skills/scanner-pmcc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scanner-pmcc", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add staskh/trading_skills --skill scanner-pmcc -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install staskh/trading_skills scanner-pmcc --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/staskh/trading_skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/scanner-pmcc .opencode/skills/scanner-pmcc && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "scanner-pmcc" agent skill from https://github.com/staskh/trading_skills/tree/main/.claude/skills/scanner-pmcc into .opencode/skills/scanner-pmcc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scanner-pmcc", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: scanner-pmcc
GitHub stars: 374
Used in: 1 other repo
Token cost: ~1.9k tokens
SKILL.md length: 823 words
Files: 3 (incl. scripts)
Skills in repo: 28
Repo updated: Sep 28, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Scan stocks for Poor Man's Covered Call (PMCC) suitability. An agent skill from staskh/trading_skills.

Works in 5 steps: Run the scanner with --output to capture… → Read the JSON output. → Generate the markdown report yourself… → …
User asks about PMCC candidates
SKILL.md covers What is PMCC?, Instructions, Arguments and Scoring System (max possible:…, plus 8 more sections
Runs Python scripts from its folder; calls uv

What it does

Scanner Pmcc is an agent skill from staskh/trading_skills. Scan stocks for Poor Man's Covered Call (PMCC) suitability. Analyzes LEAPS and short call options for delta, liquidity, spread, IV, yield, trend direction, and earnings proximity. Use when user asks about PMCC candidates, diagonal spreads, or LEAPS strategies.

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `scripts/scan.py` and `templates/markdown-template.md`).

It sits in Business, Finance & HR. The repository describes itself as: Claude powered advisor system for option traders. The licence is MIT.

When your agent uses it

User asks about PMCC candidates
Diagonal spreads
LEAPS strategies

Example prompts

“/scanner-pmcc”

Requirements

Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

Run the scanner with --output to capture JSON data
Read the JSON output.
Generate the markdown report yourself using the template defined in templates/markdown-template.md. Do not use the --report flag — that…
Save the generated markdown to sandbox/PMCC_Scan_YYYY-MM-DD_HHmm.md (match the JSON timestamp).
Display the full report to the user.

What it can do on your machine

Read from SKILL.md and the folder at commit b71a74f. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- uv
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Scanner Pmcc loads about 1.9k tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 823 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~68
When it runs · the whole SKILL.md, loaded when a task matches: ~1.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from staskh/trading_skills at commit b71a74f, republished under its MIT licence (© staskh). 823 words, ~1,900 tokens.

Download SKILL.mdSave it as .claude/skills/scanner-pmcc/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.

name: scanner-pmcc
description: Scan stocks for Poor Man's Covered Call (PMCC) suitability. Analyzes LEAPS and short call options for delta, liquidity, spread, IV, yield, trend direction, and earnings proximity. Use when user asks about PMCC candidates, diagonal spreads, or LEAPS strategies.
dependencies: trading-skills

PMCC Scanner

Finds optimal Poor Man's Covered Call setups by scoring symbols on option chain quality.

What is PMCC?

Buy deep ITM LEAPS call (delta ~0.80) + Sell short-term OTM call (delta ~0.20) against it. Cheaper alternative to covered calls.

Instructions

Note: If uv is not installed or pyproject.toml is not found, replace uv run python with python in all commands below.

bash

uv run python scripts/scan.py SYMBOLS [options]

Arguments

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)

Scoring System (max possible: 14, range: -8 to 14)

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
	Annual > 15%	+0.5
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
Weekly Options	No weekly options listed	-1
Strike Density	< 3 strikes spot→short	-2
	< 5 strikes spot→short	-1
Short Premium	Short mid < $0.10	-1
	Short mid < $0.50	-0.5

Weekly-options, strike-density, and short-premium are penalty-only (0 at best), so max_possible_score stays 14 while the theoretical minimum is -8 (base 0, trend -2, earnings -2, weekly -1, strike -2, short premium -1).

Output

Returns JSON with:

criteria - Scan parameters used
results - Array sorted by score:
- symbol, price, iv_pct, pmcc_score, max_possible_score (always 14)
- industry - GICS industry (falls back to sector), or null
- description - one-sentence company description, or null
- has_weeklies - whether the symbol lists weekly options (bool)
- short_window - short-expiry window actually used: "7-21" or "5-30 (fallback)"
- dividend_yield - continuous dividend yield (fraction) used in the BS/IV math
- leaps - expiry, strike, delta, iv (calculated from bid/ask), last_price, bid/ask, spread%, volume, OI
- short - expiry, strike, delta, iv (calculated from bid/ask), last_price, bid/ask, spread%, volume, OI
- earnings_date - next earnings date (YYYY-MM-DD) or null
- metrics - net_debit, short_yield% (period yield over the short window), annual_yield%, capital_required
- score_breakdown - every scoring component as a <name>_delta (float) + <name> (explanation string) pair:
  - Base: leaps_delta, short_delta, leaps_liquidity, short_liquidity, leaps_spread, short_spread, iv, yield
  - Trend: trend_delta, trend (per-indicator dict)
  - Earnings: earnings_delta, earnings
  - Weekly options: weekly_options_delta, weekly_options
  - Strike density: strike_density_delta, strike_density
  - Short premium: short_premium_delta, short_premium
  - All _delta values sum to pmcc_score
errors - Symbols that failed (no options, insufficient data)

Report Generation

When the user asks for a report, a written analysis, or a saved document:

Run the scanner with --output to capture JSON data:

bash

uv run python scripts/scan.py SYMBOLS --output sandbox/PMCC_Scan_YYYY-MM-DD_HHmm.json

Read the JSON output.
Generate the markdown report yourself using the template defined in templates/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.
Save the generated markdown to sandbox/PMCC_Scan_YYYY-MM-DD_HHmm.md (match the JSON timestamp).
Display the full report to the user.

Show full SKILL.md (287 more words)Show less

Examples

bash

# 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 365

IV Calculation

IV is always computed from market price data via Black-Scholes, never taken from Yahoo Finance's impliedVolatility column:

During trading hours: IV derived from bid/ask mid price
Off-hours (bid=ask=0): IV derived from last price, using the option's last trade timestamp as the pricing moment (not current wall-clock time)

This applies to both compute_atm_iv (used for scanner baseline IV) and per-option delta calculations.

Dividends: the Black-Scholes inversion uses the underlying's continuous dividend yield (Merton model). Ignoring it biases recovered IV downward for calls on dividend payers — badly for high yielders (e.g. a 7%-yield name would read ~12% IV instead of ~24%). The yield is normalized from yfinance's inconsistent fields (dividendRate/price, then trailingAnnualDividendYield, then dividendYield) and reported as dividend_yield (a fraction) in each result. The same yield feeds the strike-selection deltas and the max-profit repricing.

Key Constraints

Short strike must be above LEAPS strike
Options with bid = 0 and no last price are skipped
Moderate IV (25-50%) scores highest

Interpretation

Score > 12: Excellent candidate (strong structure + bullish trend + clear earnings runway)
Score 10-12: Good candidate
Score 6-10: Acceptable with caveats
Score < 6: Poor structure, bearish trend, or earnings risk
max_possible_score is always 14 — use pmcc_score / max_possible_score to gauge how close a candidate is to perfect
Off-hours scores are not comparable to market-hours scores. When bid/ask aren't both > 0 (outside trading hours), spread_pct is forced to 100%, which zeroes out both spread scores (−2 vs a live scan). A candidate can look up to 2 points worse simply because it was scanned off-hours. Compare candidates only within the same scan.

Dependencies

numpy
pandas
scipy
yfinance

Timezone

All 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.

Files

SKILL.md and 2 other files (scripts) in .claude/skills/scanner-pmcc of staskh/trading_skills.

SKILL.md
scripts/scan.py
templates/markdown-template.md

Open the folder on GitHubat commit b71a74f

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in staskh/trading_skills, which our catalogue first saw on October 7, 2026.

majiayu000/claude-skill-registryskills/bash/scanner-pmcc

Compare with similar skills

Scanner Pmcc next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Scanner Pmcc compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Scanner Pmcc this skillstaskh/trading_skills	374	1 repos	~1.9k	Automated safety check: Pass	MIT	9 days ago
Technical Analysttradermonty/claude-trading-skills	3k	5 repos	~4.6k	Automated safety check: Pass	MIT	2 days ago
Creating Financial ModelsChen-zexi/open-ptc-agent	729	4 repos	~1.3k	Automated safety check: Pass	MIT	8 mo ago
Stock APIzhangxiangliang/stock-api	2k	—	~507	Automated safety check: Pass	MIT	today
Theme Detectortradermonty/claude-trading-skills	3k	2 repos	~4.9k	Automated safety check: Pass	MIT	2 days ago
Itr Walakaranb192/itr-wala	871	—	~3.6k	Automated safety check: Pass	MIT	4 days ago

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Questions about Scanner Pmcc

What does Scanner Pmcc do?

Scan stocks for Poor Man's Covered Call (PMCC) suitability. An agent skill from staskh/trading_skills. Scanner Pmcc is an agent skill from staskh/trading_skills. Scan stocks for Poor Man's Covered Call (PMCC) suitability.

When should I use Scanner Pmcc?

Scanner Pmcc fits situations like: user asks about PMCC candidates; diagonal spreads; LEAPS strategies.

How do I install Scanner Pmcc in Claude Code?

Run `npx skills add staskh/trading_skills --skill scanner-pmcc -a claude-code`. Or copy the skill folder (.claude/skills/scanner-pmcc in staskh/trading_skills) into .claude/skills/scanner-pmcc in your project. Claude Code loads it when a task matches its description.

How do I install Scanner Pmcc in Codex?

Run `npx skills add staskh/trading_skills --skill scanner-pmcc -a codex`. Or copy the skill folder (.claude/skills/scanner-pmcc in staskh/trading_skills) into .agents/skills/scanner-pmcc in your project. Codex loads it when a task matches its description.

Can I use Scanner Pmcc in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add staskh/trading_skills --skill scanner-pmcc -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scanner-pmcc, .gemini/skills/scanner-pmcc, .github/skills/scanner-pmcc and .opencode/skills/scanner-pmcc in your project.

What does Scanner Pmcc need to run?

Going by SKILL.md and its folder, Scanner Pmcc needs Python for the scripts in its folder and the command-line tools its instructions call (uv). Our summary lists: Python 3.

Does Scanner Pmcc access the network?

SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Scanner Pmcc safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Scanner Pmcc use?

Scanner Pmcc is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Scanner Pmcc use?

About 1.9k tokens (SKILL.md is roughly 7.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Scanner Pmcc?

Skills that share tags, products or a category with Scanner Pmcc: Technical Analyst (tradermonty/claude-trading-skills, 3k stars), Creating Financial Models (Chen-zexi/open-ptc-agent, 729 stars), Stock API (zhangxiangliang/stock-api, 2k stars) and Theme Detector (tradermonty/claude-trading-skills, 3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Scanner Pmcc?

staskh (a GitHub user) maintains it in staskh/trading_skills, which has 374 GitHub stars. The repository holds 28 skills in this directory. The repository was last updated on September 28, 2026.

Source: staskh/trading_skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Scanner Pmcc

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

PMCC Scanner

What is PMCC?

Instructions

Arguments

Scoring System (max possible: 14, range: -8 to 14)

Output

Report Generation

Examples

IV Calculation

Key Constraints

Interpretation

Dependencies

Timezone

Files

Used in 1 other repository

Compare with similar skills

Similar skills

More from staskh/trading_skills

Related

Questions about Scanner Pmcc