stockbee-exhaustion-hammer-screener

stockbee-exhaustion-hammer-screener is a skill for Claude Code, Codex from BaggaT236/AI-Trading-Skills. It costs 104 tokens per session (1,253 once invoked), scanned A, a copy of stockbee-exhaustion-hammer-screener, MIT.

A stock screener for finding US shares with a Stockbee-style selling-exhaustion hammer: a sharp pullback followed by a candle with a long lower wick and signs of recovery. It also checks price history, trading volume, stock quality, liquidity, and risk distance.

In plain words
What is it for?
Use it to scan a symbol list or market data for undercut-and-reclaim setups, near-close hammer patterns, and liquid stocks showing possible selling exhaustion.
Why use it?
It narrows a large stock universe to candidates that match a specific pullback-and-reversal pattern, while making clear that the results are candidates rather than automatic trade signals.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to scan a symbol list or market data for undercut-and-reclaim setups, near-close hammer patterns, and liquid stocks showing possible selling exhaustion.

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Install with agentmods
npx agentmods add skills/baggat236/ai-trading-skills/stockbee-exhaustion-hammer-screener
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add BaggaT236/AI-Trading-Skills --skill stockbee-exhaustion-hammer-screener
Clone the repo
git clone --depth 1 https://github.com/BaggaT236/AI-Trading-Skills

Made for: Claude Code, Codex.

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 stockbee-exhaustion-hammer-screener

README.md
[![agentmods](https://agentmods.dev/badge/skills/baggat236/ai-trading-skills/stockbee-exhaustion-hammer-screener/github.svg)](https://agentmods.dev/skills/baggat236/ai-trading-skills/stockbee-exhaustion-hammer-screener)
Your own site
<a href="https://agentmods.dev/skills/baggat236/ai-trading-skills/stockbee-exhaustion-hammer-screener"><img src="https://agentmods.dev/badge/skills/baggat236/ai-trading-skills/stockbee-exhaustion-hammer-screener/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 stockbee-exhaustion-hammer-screener

Your own site · 80×15
<a href="https://agentmods.dev/skills/baggat236/ai-trading-skills/stockbee-exhaustion-hammer-screener"><img src="https://agentmods.dev/badge/skills/baggat236/ai-trading-skills/stockbee-exhaustion-hammer-screener.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 104 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,253 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.
Origin 100% copy Near-identical to another mod 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 $0.00104 $0.01253
Opus 5 $0.00052 $0.00626
Sonnet 5 $0.00021 $0.00251
Haiku 4.5 $0.00010 $0.00125

Measured 13d ago against content hash 9646ced41a38, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

stockbee-exhaustion-hammer-screener 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 13d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/screen_exhaustion_hammer.py, scripts/tests/test_screen_exhaustion_hammer.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.

Origin

This is a copy

100% identical to stockbee-exhaustion-hammer-screener — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/stockbee-exhaustion-hammer-screener/SKILL.md · 122 lines

How it starts

The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Stockbee Exhaustion Hammer Screener

Screen US equities for Stockbee-style selling-exhaustion hammer candidates. The skill is a candidate-generation and setup-quality workflow, not a signal service or an auto-execution system.

When to Use

  • User asks for Stockbee / Pradeep Bonde style exhaustion setup screening
  • User wants near-close hammer / long lower-wick reversal candidates
  • User wants to scan strong, liquid stocks that pulled back and may be seeing selling exhaustion
  • User wants undercut/reclaim candidates before the close or after the close
  • User provides a symbol list, universe file, or historical / provisional OHLCV JSON for screening
  • User wants candidate outputs to feed into technical-analyst, position-sizer, trader-memory-core, or stockbee-setup-fluency-trainer

Prerequisites

  • FMP API key for live universe and historical OHLCV screening:
    export FMP_API_KEY=your_api_key_here
    
  • Optional no-API path: provide --prices-json containing daily OHLCV bars by symbol. For the intended near-close use case, the latest bar should be a provisional current-day bar captured near the close.
  • Optional --profiles-json can add quality metadata such as marketCap, mutualFundHolders, institutionalHolders, or institutionalOwnershipPct.
  • Run only after the market-regime workflow allows new swing risk, or mark output as manual-review-only.

Workflow

Step 1: Choose Input Mode

Use one of three modes:

Mode A: FMP universe scan

python3 skills/stockbee-exhaustion-hammer-screener/scripts/screen_exhaustion_hammer.py \
  --fmp-universe \
  --max-symbols 300 \
  --market-gate allowed \
  --output-dir reports/

Mode B: Explicit symbols

python3 skills/stockbee-exhaustion-hammer-screener/scripts/screen_exhaustion_hammer.py \
  --symbols APP ENPH NVDA TSLA \
  --market-gate allowed \
  --output-dir reports/

Mode C: Offline / near-close OHLCV JSON

python3 skills/stockbee-exhaustion-hammer-screener/scripts/screen_exhaustion_hammer.py \
  --prices-json data/near_close_daily_ohlcv.json \
  --profiles-json data/quality_profiles.json \
  --market-gate allowed \
  --output-dir reports/

Read the full file on GitHub · 122 lines

Files

What ships with it

5 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. 13d ago First seen · 122 lines · 104 tokens per session scan A 9646ced41a38

Subscribe to this mod's changes

stockbee-exhaustion-hammer-screener is a skill published in the GitHub repository BaggaT236/AI-Trading-Skills (121 stars, last pushed 9d ago), licensed MIT. It adds 104 tokens to every session and 1,253 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to stockbee-exhaustion-hammer-screener, differing in 0 lines, and is treated as a copy.

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