Quality Screen
xbtlin/ai-berkshire
Screens companies against seven hard financial tests and exemption rules to rule out clearly non-top-tier businesses, for single stocks, industries or indexes.
Screen US stocks for Stockbee-style selling-exhaustion hammer setups using prior momentum, pullback depth, undercut/reclaim, long lower-wick geometry, close-location, volume confirmation…
MITAuto-check passed
Install Stockbee Exhaustion Hammer Screener
$ npx skills add tradermonty/claude-trading-skills --skill stockbee-exhaustion-hammer-screener -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install tradermonty/claude-trading-skills stockbee-exhaustion-hammer-screener --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/stockbee-exhaustion-hammer-screener .claude/skills/stockbee-exhaustion-hammer-screener && rm -rf skills-srcUse ~/.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/
Install the "stockbee-exhaustion-hammer-screener" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stockbee-exhaustion-hammer-screener into .claude/skills/stockbee-exhaustion-hammer-screener/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stockbee-exhaustion-hammer-screener", 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 install https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stockbee-exhaustion-hammer-screenerType 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.
$ npx skills add tradermonty/claude-trading-skills --skill stockbee-exhaustion-hammer-screener -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install tradermonty/claude-trading-skills stockbee-exhaustion-hammer-screener --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/stockbee-exhaustion-hammer-screener .agents/skills/stockbee-exhaustion-hammer-screener && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "stockbee-exhaustion-hammer-screener" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stockbee-exhaustion-hammer-screener into .agents/skills/stockbee-exhaustion-hammer-screener/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stockbee-exhaustion-hammer-screener", 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.
$ npx skills add tradermonty/claude-trading-skills --skill stockbee-exhaustion-hammer-screener -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install tradermonty/claude-trading-skills stockbee-exhaustion-hammer-screener --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/stockbee-exhaustion-hammer-screener .cursor/skills/stockbee-exhaustion-hammer-screener && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "stockbee-exhaustion-hammer-screener" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stockbee-exhaustion-hammer-screener into .cursor/skills/stockbee-exhaustion-hammer-screener/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stockbee-exhaustion-hammer-screener", 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 https://github.com/tradermonty/claude-trading-skills.git --path skills/stockbee-exhaustion-hammer-screener--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add tradermonty/claude-trading-skills --skill stockbee-exhaustion-hammer-screener -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install tradermonty/claude-trading-skills stockbee-exhaustion-hammer-screener --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/stockbee-exhaustion-hammer-screener .gemini/skills/stockbee-exhaustion-hammer-screener && rm -rf skills-srcUse ~/.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/
Install the "stockbee-exhaustion-hammer-screener" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stockbee-exhaustion-hammer-screener into .gemini/skills/stockbee-exhaustion-hammer-screener/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stockbee-exhaustion-hammer-screener", 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.
$ gh skill install tradermonty/claude-trading-skills stockbee-exhaustion-hammer-screenerInstalls 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).
$ npx skills add tradermonty/claude-trading-skills --skill stockbee-exhaustion-hammer-screener -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/stockbee-exhaustion-hammer-screener .github/skills/stockbee-exhaustion-hammer-screener && rm -rf skills-srcUse ~/.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/
Install the "stockbee-exhaustion-hammer-screener" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stockbee-exhaustion-hammer-screener into .github/skills/stockbee-exhaustion-hammer-screener/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stockbee-exhaustion-hammer-screener", 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.
$ npx skills add tradermonty/claude-trading-skills --skill stockbee-exhaustion-hammer-screener -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install tradermonty/claude-trading-skills stockbee-exhaustion-hammer-screener --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/stockbee-exhaustion-hammer-screener .opencode/skills/stockbee-exhaustion-hammer-screener && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "stockbee-exhaustion-hammer-screener" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stockbee-exhaustion-hammer-screener into .opencode/skills/stockbee-exhaustion-hammer-screener/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stockbee-exhaustion-hammer-screener", 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
stockbee-exhaustion-hammer-screener- GitHub stars
- 3k
- Used in
- 1 other repo
- Token cost
- ~1.4k tokens
- SKILL.md length
- 495 words
- Files
- 7 (incl. scripts, references)
- Skills in repo
- 74
- Repo updated
- First seen
- Licence
- MIT
At a glance
Screen US stocks for Stockbee-style selling-exhaustion hammer setups using prior momentum, pullback depth, undercut/reclaim, long lower-wick geometry, close-location, volume confirmation…
- Works in 4 steps: Choose Input Mode → Run the Screening Pass → Review Output → …
- The user asks for Stockbee
- SKILL.md covers When to Use, Prerequisites, Workflow and Output, plus 1 more section
- Runs Python scripts from its folder; calls python3; needs FMP_API_KEY
What it does
Stockbee Exhaustion Hammer Screener is an agent skill from tradermonty/claude-trading-skills. Screen US stocks for Stockbee-style selling-exhaustion hammer setups using prior momentum, pullback depth, undercut/reclaim, long lower-wick geometry, close-location, volume confirmation, quality/liquidity gates, and risk-distance scoring. Use when the user asks for Stockbee, Pradeep Bonde, exhaustion setup, selling exhaustion, hammer reversal, undercut reclaim, near-close reversal candidates, or pullback entries in high-quality funds-owned stocks.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts and reference files (for example `references/exhaustion_hammer_methodology.md`, `references/near_close_operations.md` and `references/scoring_system.md`).
The repository describes itself as: Claude Code skills for equity investors and traders — market analysis, technical charting, economic calendars, screeners, and trading strategy development. The licence is MIT.
When your agent uses it
- The user asks for Stockbee
- Exhaustion setup
- Selling exhaustion
- Hammer reversal
Example prompts
- “/stockbee-exhaustion-hammer-screener”
Requirements
- Python 3
- A credential in FMP_API_KEY
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit c8d58f0. 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 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
FMP_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Stockbee Exhaustion Hammer Screener loads about 1.4k tokens when it runs, and up to ~2.8k if it reads all its reference files. Until then it costs about 122 tokens; SKILL.md has 495 words of instructions outside code blocks.
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 tradermonty/claude-trading-skills at commit c8d58f0, republished under its MIT licence (© tradermonty). 495 words, ~1,353 tokens.
Download SKILL.mdSave it as
.claude/skills/stockbee-exhaustion-hammer-screener/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.- name
- stockbee-exhaustion-hammer-screener
- description
- Screen US stocks for Stockbee-style selling-exhaustion hammer setups using prior momentum, pullback depth, undercut/reclaim, long lower-wick geometry, close-location, volume confirmation, quality/liquidity gates, and risk-distance scoring. Use when the user asks for Stockbee, Pradeep Bonde, exhaustion setup, selling exhaustion, hammer reversal, undercut reclaim, near-close reversal candidates, or pullback entries in high-quality funds-owned stocks.
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, orstockbee-setup-fluency-trainer
Prerequisites
- FMP API key for live universe and historical OHLCV screening:
bash export FMP_API_KEY=your_api_key_here - Optional no-API path: provide
--prices-jsoncontaining 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-jsoncan add quality metadata such asmarketCap,mutualFundHolders,institutionalHolders, orinstitutionalOwnershipPct. - 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/For a best-effort FMP near-close run, use quote override. This costs one additional quote call per symbol and depends on provider freshness:
python3 skills/stockbee-exhaustion-hammer-screener/scripts/screen_exhaustion_hammer.py \
--fmp-universe \
--use-quote-latest \
--max-api-calls 700 \
--market-gate allowed \
--output-dir reports/Step 2: Run the Screening Pass
The script detects these setup families:
- Selling exhaustion hammer: long lower wick, small body, strong close-location, and recovery from the day low
- Undercut/reclaim hammer: current low undercuts the prior short-term low and the near-close price reclaims that level
- Prior momentum pullback: recent high formed within the configured lookback, followed by a controlled pullback rather than a long-term downtrend
- High-quality / liquid context: price, volume, 20-day average dollar volume, market-cap metadata, and optional holder metadata
It then scores setup quality using:
- Quality / liquidity
- Prior momentum
- Pullback and selling-exhaustion context
- Hammer candle geometry
- Risk distance to the day low plus buffer
- Market gate alignment
Show full SKILL.md (169 more words)Show less
Step 3: Review Output
Read the generated JSON and Markdown reports. For each candidate, present:
- Trigger type and all matched tags
- Pullback depth from recent high and days since that high
- Undercut/reclaim status and short-term prior low
- Hammer geometry: lower wick, body, upper wick, close location, recovery from low
- Volume ratios, average dollar volume, and quality metadata
- Entry reference, stop reference, and risk percentage to stop
- Setup score, rating, state, and reject reasons
- Suggested downstream action
Step 4: Send Survivors to Trade Planning
Use the output conservatively:
- A / A- candidates: validate chart manually, check earnings/news risk, then send to
position-sizer - B candidates: manual review or next-day hammer-high confirmation
- Watch candidates: keep on watchlist / model book; wait for follow-through or tighter risk
- Rejected candidates: retain for post-analysis, not for execution
Output
stockbee_exhaustion_hammer_YYYY-MM-DD_HHMMSS.json- Structured candidate list, metadata, thresholds, score components, and rejectsstockbee_exhaustion_hammer_YYYY-MM-DD_HHMMSS.md- Human-readable report grouped by rating/state
Resources
references/exhaustion_hammer_methodology.md- Stockbee-style method summary and implementation boundariesreferences/scoring_system.md- Component weights, state thresholds, and failure filtersreferences/near_close_operations.md- Near-close operational checklist and scheduling notes
© tradermonty, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 6 other files (scripts, references) in skills/stockbee-exhaustion-hammer-screener of tradermonty/claude-trading-skills.
- SKILL.md
- references/exhaustion_hammer_methodology.md
- references/near_close_operations.md
- references/scoring_system.md
- requirements.txt
- scripts/screen_exhaustion_hammer.py
- scripts/tests/test_screen_exhaustion_hammer.py
Open the folder on GitHubat commit c8d58f0
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 tradermonty/claude-trading-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Stockbee Exhaustion Hammer Screener 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Stockbee Exhaustion Hammer Screener this skilltradermonty/claude-trading-skills | 3k | 1 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Quality Screenxbtlin/ai-berkshire | 17k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Stock Screenernicepkg/ai-workflow | 285 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Undervalued Stock ScreenerGeeksfino/finskills | 282 | — | ~968 | Automated safety check: Pass | Apache-2.0 | |
| Mx Stocks Screenerhiboys/ExploreFinance | 365 | — | ~697 | Automated safety check: Pass | None | |
| StockMagicCube/agentara | 516 | — | ~1.1k | Automated safety check: Pass | None |
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Questions about Stockbee Exhaustion Hammer Screener
What does Stockbee Exhaustion Hammer Screener do?
Screen US stocks for Stockbee-style selling-exhaustion hammer setups using prior momentum, pullback depth, undercut/reclaim, long lower-wick geometry, close-location, volume confirmation…. Stockbee Exhaustion Hammer Screener is an agent skill from tradermonty/claude-trading-skills. Screen US stocks for Stockbee-style selling-exhaustion hammer setups using prior momentum, pullback depth, undercut/reclaim, long lower-wick geometry, close-location, volume confirmation, quality/liquidity gates, and risk-distance scoring.
When should I use Stockbee Exhaustion Hammer Screener?
Stockbee Exhaustion Hammer Screener fits situations like: the user asks for Stockbee; exhaustion setup; selling exhaustion; hammer reversal.
How do I install Stockbee Exhaustion Hammer Screener in Claude Code?
Run `npx skills add tradermonty/claude-trading-skills --skill stockbee-exhaustion-hammer-screener -a claude-code`. Or copy the skill folder (skills/stockbee-exhaustion-hammer-screener in tradermonty/claude-trading-skills) into .claude/skills/stockbee-exhaustion-hammer-screener in your project. Claude Code loads it when a task matches its description.
How do I install Stockbee Exhaustion Hammer Screener in Codex?
Run `npx skills add tradermonty/claude-trading-skills --skill stockbee-exhaustion-hammer-screener -a codex`. Or copy the skill folder (skills/stockbee-exhaustion-hammer-screener in tradermonty/claude-trading-skills) into .agents/skills/stockbee-exhaustion-hammer-screener in your project. Codex loads it when a task matches its description.
Can I use Stockbee Exhaustion Hammer Screener 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 tradermonty/claude-trading-skills --skill stockbee-exhaustion-hammer-screener -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/stockbee-exhaustion-hammer-screener, .gemini/skills/stockbee-exhaustion-hammer-screener, .github/skills/stockbee-exhaustion-hammer-screener and .opencode/skills/stockbee-exhaustion-hammer-screener in your project.
What does Stockbee Exhaustion Hammer Screener need to run?
Going by SKILL.md and its folder, Stockbee Exhaustion Hammer Screener needs Python for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named FMP_API_KEY. Our summary lists: Python 3; A credential in FMP_API_KEY.
Does Stockbee Exhaustion Hammer Screener access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Stockbee Exhaustion Hammer Screener 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 Stockbee Exhaustion Hammer Screener use?
Stockbee Exhaustion Hammer Screener 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 Stockbee Exhaustion Hammer Screener use?
About 1.4k tokens (SKILL.md is roughly 5.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.4k tokens, read only when the agent opens those files.
What are the alternatives to Stockbee Exhaustion Hammer Screener?
Skills that share tags, products or a category with Stockbee Exhaustion Hammer Screener: Quality Screen (xbtlin/ai-berkshire, 17k stars), Stock Screener (nicepkg/ai-workflow, 285 stars), Undervalued Stock Screener (Geeksfino/finskills, 282 stars) and Mx Stocks Screener (hiboys/ExploreFinance, 365 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Stockbee Exhaustion Hammer Screener?
tradermonty (a GitHub user) maintains it in tradermonty/claude-trading-skills, which has 2,982 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on October 11, 2026.
Source: tradermonty/claude-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.