report-stock

report-stock is a skill for Claude Code from staskh/trading_skills. It costs 22 tokens per session (877 once invoked), scanned A, original, MIT.

A stock-analysis report generator that creates Markdown or PDF reports for a stock ticker. It combines trend indicators, company fundamentals, valuation, dividend and balance-sheet data, and options strategy analysis.

In plain words
What is it for?
Use it to review technical trends, company health, Piotroski F-Score criteria, PMCC suitability, and possible option spreads such as vertical spreads, straddles, strangles, and iron condors.
Why use it?
It brings several types of stock research into one report instead of requiring separate checks. A PMCC, or Poor Man’s Covered Call, is an options strategy included in the analysis.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: reads .claude/ paths.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is uv run python .claude/skills/markdown-to-pdf/scripts/markdown_to_pdf.py sandbox/{SYMBOL}_Analysis_Report_{YYYY-MM-DD}_{HHmm}.md.

Good fit Use it to review technical trends, company health, Piotroski F-Score criteria, PMCC suitability, and possible option spreads such as vertical spreads, straddles, strangles, and iron condors.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/staskh/trading_skills
agentmods
npx agentmods add skills/staskh/trading_skills/report-stock

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for report-stock

README.md
[![agentmods](https://agentmods.dev/badge/skills/staskh/trading_skills/report-stock/github.svg)](https://agentmods.dev/skills/staskh/trading_skills/report-stock)
Your own site
<a href="https://agentmods.dev/skills/staskh/trading_skills/report-stock"><img src="https://agentmods.dev/badge/skills/staskh/trading_skills/report-stock/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for report-stock

Your own site · 80×15
<a href="https://agentmods.dev/skills/staskh/trading_skills/report-stock"><img src="https://agentmods.dev/badge/skills/staskh/trading_skills/report-stock.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 877 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00022 $0.00877
Opus 5 $0.00011 $0.00439
Sonnet 5 $0.00004 $0.00175
Haiku 4.5 $0.00002 $0.00088

Measured 10d ago against content hash 5d06ead01fbc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

report-stock scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/report.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/report-stock/SKILL.md · 96 lines

How it starts

The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Stock Analysis Report Generator

Generates professional reports with comprehensive stock analysis including trend analysis, PMCC viability, and fundamental metrics. Supports both PDF and markdown output formats.

Instructions

Step 1: Gather Data

Run the report script for each symbol:

uv run python scripts/report.py SYMBOL

The script returns detailed JSON with:

  • recommendation - Overall recommendation with strengths/risks
  • company - Company info (name, sector, industry, market cap)
  • trend_analysis - Bullish scanner results (score, RSI, MACD, ADX, SMAs)
  • pmcc_analysis - PMCC viability (score, LEAPS/short details, metrics)
  • fundamentals - Valuation, profitability, dividend, balance sheet, earnings history
  • piotroski - F-Score breakdown with all 9 criteria
  • spread_strategies - Option spread analysis (vertical spreads, straddle, strangle, iron condor)

Step 2: Generate Report

Step 2a — Write markdown

Read templates/markdown-template.md for formatting instructions. Generate a markdown report from the JSON data and save to sandbox/ as:

sandbox/{SYMBOL}_Analysis_Report_{YYYY-MM-DD}_{HHmm}.md

Step 2b — Convert to PDF (if requested)

Invoke the markdown-to-pdf skill on the markdown file just created:

uv run python .claude/skills/markdown-to-pdf/scripts/markdown_to_pdf.py sandbox/{SYMBOL}_Analysis_Report_{YYYY-MM-DD}_{HHmm}.md

The PDF is written alongside the markdown file with the same basename.

Step 3: Report Results

After generating the report, tell the user:

  1. The recommendation (BUY/HOLD/AVOID)
  2. Key strengths and risks
  3. The report file path

Example

# Single symbol
uv run python scripts/report.py AAPL

# Multiple symbols - run separately
uv run python scripts/report.py AAPL
uv run python scripts/report.py MSFT

Report Contents

All sections defined in templates/markdown-template.md:

  1. Header — symbol, company name, generated timestamp
  2. Recommendation — BUY/HOLD/AVOID with strengths and risks
  3. Company Overview — sector, industry, market cap, beta
  4. Trend Analysis — bullish score, RSI, MACD, ADX, SMA distances, earnings date, signals list
  5. Fundamental Analysis — valuation (P/E, P/B, EPS), profitability (margins, ROE, ROA, growth), dividend & balance sheet, earnings history (up to 8 quarters)
  6. Piotroski F-Score — all 9 criteria with PASS/FAIL
  7. Insider Trading — net sentiment, buy/sell counts, recent transactions (omitted if no data)
  8. PMCC Viability — score, IV, LEAPS/short leg details, trade metrics (yield, capital required)
  9. Option Spread Strategies — bull call, bear put, straddle, strangle, iron condor
  10. Investment Summary — strengths and risk factors
  11. Disclaimer footer

Read the full file on GitHub · 96 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 96 lines · 22 tokens per session scan A 5d06ead01fbc

Subscribe to this mod's changes

report-stock is a skill published in the GitHub repository staskh/trading_skills (363 stars, last pushed 9d ago), licensed MIT. It adds 22 tokens to every session and 877 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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