Distributed Triage
pytorch/pytorch
Sub-triages issues in the oncall:distributed queue by assigning distributed module labels, routing to sub-oncalls, and marking triaged.
Detects market top probability using O'Neil Distribution Days, Minervini Leading Stock Deterioration, and Monty Defensive Sector Rotation.
$ npx skills add tradermonty/claude-trading-skills --skill market-top-detector -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install tradermonty/claude-trading-skills market-top-detector --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/market-top-detector .claude/skills/market-top-detector && 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 "market-top-detector" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/market-top-detector into .claude/skills/market-top-detector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "market-top-detector", 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/market-top-detectorType 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 market-top-detector -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install tradermonty/claude-trading-skills market-top-detector --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/market-top-detector .agents/skills/market-top-detector && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "market-top-detector" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/market-top-detector into .agents/skills/market-top-detector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "market-top-detector", 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 market-top-detector -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install tradermonty/claude-trading-skills market-top-detector --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/market-top-detector .cursor/skills/market-top-detector && 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 "market-top-detector" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/market-top-detector into .cursor/skills/market-top-detector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "market-top-detector", 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/market-top-detector--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 market-top-detector -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install tradermonty/claude-trading-skills market-top-detector --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/market-top-detector .gemini/skills/market-top-detector && 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 "market-top-detector" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/market-top-detector into .gemini/skills/market-top-detector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "market-top-detector", 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 market-top-detectorInstalls 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 market-top-detector -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/market-top-detector .github/skills/market-top-detector && 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 "market-top-detector" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/market-top-detector into .github/skills/market-top-detector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "market-top-detector", 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 market-top-detector -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 market-top-detector --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/market-top-detector .opencode/skills/market-top-detector && 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 "market-top-detector" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/market-top-detector into .opencode/skills/market-top-detector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "market-top-detector", 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.
market-top-detectorDetects market top probability using O'Neil Distribution Days, Minervini Leading Stock Deterioration, and Monty Defensive Sector Rotation.
Market Top Detector is an agent skill from tradermonty/claude-trading-skills. Detects market top probability using O'Neil Distribution Days, Minervini Leading Stock Deterioration, and Monty Defensive Sector Rotation. Generates a 0-100 composite score with risk zone classification. Use when user asks about market top risk, distribution days, defensive rotation, leadership breakdown, or whether to reduce equity exposure. Focuses on 2-8 week tactical timing signals for 10-20% corrections.
Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 44 other files, including scripts and reference files (for example `references/distribution_day_guide.md`, `references/historical_tops.md` and `references/market_top_methodology.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.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit c8d58f0. It shows what the files ask for, not the result of running them.
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.
Ships 13 files in scripts/ (Python, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
barchart.comycharts.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
FMP_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Market Top Detector loads about 2.2k tokens when it runs, and up to ~6.9k if it reads all its reference files. Until then it costs about 108 tokens; SKILL.md has 697 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.
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.
The full file from tradermonty/claude-trading-skills at commit c8d58f0, republished under its MIT licence (© tradermonty). 697 words, ~2,160 tokens.
.claude/skills/market-top-detector/SKILL.md (or your agent's skills folder). This skill also uses 41 other files; get the full folder from GitHub.Detect the probability of a market top formation using a quantitative 6-component scoring system (0-100). Integrates three proven market top detection methodologies:
Unlike the Bubble Detector (macro/multi-month evaluation), this skill focuses on tactical 2-8 week timing signals that precede 10-20% market corrections.
English:
Japanese:
Required:
$FMP_API_KEY environment variable or pass --api-key. Free tier sufficient (~33 API calls per execution).Optional:
--vix-term.Data Freshness: All manually collected data should be from the most recent 3 business days for accurate analysis.
| Aspect | Market Top Detector | Bubble Detector |
|---|---|---|
| Timeframe | 2-8 weeks | Months to years |
| Target | 10-20% correction | Bubble collapse (30%+) |
| Methodology | O'Neil/Minervini/Monty | Minsky/Kindleberger |
| Data | Price/Volume + Breadth | Valuation + Sentiment + Social |
| Score Range | 0-100 composite | 0-15 points |
Before running the Python script, collect the following data using WebSearch. Data Freshness Requirement: All data must be from the most recent 3 business days. Stale data degrades analysis quality.
1. S&P 500 Breadth (200DMA above %)
AUTO-FETCHED from TraderMonty CSV (no WebSearch needed)
The script fetches this automatically from GitHub Pages CSV data.
Override: --breadth-200dma [VALUE] to use a manual value instead.
Disable: --no-auto-breadth to skip auto-fetch entirely.
2. [REQUIRED] S&P 500 Breadth (50DMA above %)
Valid range: 20-100
Primary search: "S&P 500 percent stocks above 50 day moving average"
Fallback: "market breadth 50dma site:barchart.com"
Direct fallback when search snippets are poor: fetch `https://www.barchart.com/stocks/quotes/$S5FI/overview` and extract the embedded `lastPrice` / `tradeTime` for “S&P 500 Stocks Above 50-Day Average”.
Record the data date
3. [REQUIRED] CBOE Equity Put/Call Ratio
Valid range: 0.30-1.50
Primary search: "CBOE equity put call ratio today"
Fallback: "CBOE total put call ratio current"
Fallback: "put call ratio site:cboe.com"
Direct fallback when Cboe CSV endpoints are stale: fetch `https://ycharts.com/indicators/cboe_equity_put_call_ratio` and parse the “Last Value” / “Latest Period” table fields. Treat this as a secondary source and cite it in freshness notes.
Record the data date
4. [OPTIONAL] VIX Term Structure
Values: steep_contango / contango / flat / backwardation
Primary search: "VIX VIX3M ratio term structure today"
Fallback: "VIX futures term structure contango backwardation"
Note: Auto-detected from FMP API if VIX3M quote available.
CLI --vix-term overrides auto-detection.
5. [OPTIONAL] Margin Debt YoY %
Primary search: "FINRA margin debt latest year over year percent"
Fallback: "NYSE margin debt monthly"
Note: Typically 1-2 months lagged. Record the reporting month.Run the script with collected data as CLI arguments:
python3 skills/market-top-detector/scripts/market_top_detector.py \
--api-key $FMP_API_KEY \
--breadth-50dma [VALUE] --breadth-50dma-date [YYYY-MM-DD] \
--put-call [VALUE] --put-call-date [YYYY-MM-DD] \
--vix-term [steep_contango|contango|flat|backwardation] \
--margin-debt-yoy [VALUE] --margin-debt-date [YYYY-MM-DD] \
--output-dir reports/ \
--context "Consumer Confidence=[VALUE]" "Gold Price=[VALUE]"
# 200DMA breadth is auto-fetched from TraderMonty CSV.
# Override with --breadth-200dma [VALUE] if needed.
# Disable with --no-auto-breadth to skip auto-fetch.The script will:
Present the generated Markdown report to the user, highlighting:
| # | Component | Weight | Data Source | Key Signal |
|---|---|---|---|---|
| 1 | Distribution Day Count | 25% | FMP API | Institutional selling in last 25 trading days |
| 2 | Leading Stock Health | 20% | FMP API | Growth ETF basket deterioration |
| 3 | Defensive Sector Rotation | 15% | FMP API | Defensive vs Growth relative performance |
| 4 | Market Breadth Divergence | 15% | Auto (CSV) + WebSearch | 200DMA (auto) / 50DMA (WebSearch) breadth vs index level |
| 5 | Index Technical Condition | 15% | FMP API | MA structure, failed rallies, lower highs |
| 6 | Sentiment & Speculation | 10% | FMP + WebSearch | VIX, Put/Call, term structure |
| Score | Zone | Risk Budget | Action |
|---|---|---|---|
| 0-20 | Green (Normal) | 100% | Normal operations |
| 21-40 | Yellow (Early Warning) | 80-90% | Tighten stops, reduce new entries |
| 41-60 | Orange (Elevated Risk) | 60-75% | Profit-taking on weak positions |
| 61-80 | Red (High Probability Top) | 40-55% | Aggressive profit-taking |
| 81-100 | Critical (Top Formation) | 20-35% | Maximum defense, hedging |
Install requirements.txt before running the detector. Freshness uses XNYS
sessions rather than weekdays. --as-of YYYY-MM-DD is accepted for the live
evaluation date, but historical live replay fails closed because the current
quote endpoints are not point-in-time sources.
Required: FMP API key (free tier sufficient: ~33 calls per execution) Optional: WebSearch data for breadth and sentiment (improves accuracy)
market_top_YYYY-MM-DD_HHMMSS.jsonmarket_top_YYYY-MM-DD_HHMMSS.mdreferences/market_top_methodology.mdreferences/distribution_day_guide.mdreferences/historical_tops.mdmarket_top_methodology.md for full framework understandingdistribution_day_guide.mdhistorical_tops.md© tradermonty, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 41 other files (scripts, references) in skills/market-top-detector of tradermonty/claude-trading-skills.
Open the folder on GitHubat commit c8d58f0
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.
Market Top Detector 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 |
|---|---|---|---|---|---|---|
| Market Top Detector this skilltradermonty/claude-trading-skills | 3k | 1 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Distributed Triagepytorch/pytorch | 104k | — | ~2.8k | Automated safety check: Pass | Custom licence | |
| Threat Detectionalirezarezvani/claude-skills | 28k | — | ~3.5k | Automated safety check: Pass | MIT | |
| Resemble Detectgithub/awesome-copilot | 40k | 3 repos | ~4.1k | Automated safety check: Pass | Apache-2.0 | |
| Pii Detectruvnet/ruflo | 74k | — | ~350 | Automated safety check: Notes | MIT | |
| Detecting Dnp3 Protocol Anomaliesmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~3.6k | Automated safety check: Pass | Apache-2.0 |
pytorch/pytorch
Sub-triages issues in the oncall:distributed queue by assigning distributed module labels, routing to sub-oncalls, and marking triaged.
alirezarezvani/claude-skills
A skill your agent uses when hunting for threats in an environment, analyzing IOCs, or detecting behavioral anomalies in telemetry.
github/awesome-copilot
Deepfake detection and media safety — detect AI-generated audio, images, video, and text, trace synthesis sources, apply watermarks, verify speaker identity, and analyze media intelligence using…
ruvnet/ruflo
Detect and flag personally identifiable information (PII) in text, code, and configurations.
mukul975/Anthropic-Cybersecurity-Skills
Detect anomalies in DNP3 communications used in SCADA/ICS systems by monitoring unauthorized control commands, firmware update attempts, protocol violations, and deviations from baseline traffic…
mukul975/Anthropic-Cybersecurity-Skills
This skill covers detecting cyber attacks targeting Supervisory Control and Data Acquisition (SCADA) systems including man-in-the-middle attacks on industrial protocols, unauthorized command…
tradermonty/claude-trading-skills
This skill should be used when analyzing weekly price charts for stocks, stock indices, cryptocurrencies, or forex pairs.
tradermonty/claude-trading-skills
Detect and analyze trending market themes across sectors. An agent skill from tradermonty/claude-trading-skills.
tradermonty/claude-trading-skills
Track investment theses across their lifecycle — from screening idea to closed position with postmortem.
tradermonty/claude-trading-skills
Critically review strategy drafts from edge-strategy-designer for edge plausibility, overfitting risk, sample size adequacy, and execution realism.
tradermonty/claude-trading-skills
This skill should be used when analyzing sector rotation patterns and market cycle positioning.
tradermonty/claude-trading-skills
Druckenmiller Strategy Synthesizer - Integrates 8 upstream skill outputs (Market Breadth, Uptrend Analysis, Market Top, Macro Regime, FTD Detector, VCP Screener, Theme Detector, CANSLIM Screener)…
Detects market top probability using O'Neil Distribution Days, Minervini Leading Stock Deterioration, and Monty Defensive Sector Rotation. Market Top Detector is an agent skill from tradermonty/claude-trading-skills. Detects market top probability using O'Neil Distribution Days, Minervini Leading Stock Deterioration, and Monty Defensive Sector Rotation.
Market Top Detector fits situations like: user asks about market top risk; distribution days; defensive rotation; leadership breakdown.
Run `npx skills add tradermonty/claude-trading-skills --skill market-top-detector -a claude-code`. Or copy the skill folder (skills/market-top-detector in tradermonty/claude-trading-skills) into .claude/skills/market-top-detector in your project. Claude Code loads it when a task matches its description.
Run `npx skills add tradermonty/claude-trading-skills --skill market-top-detector -a codex`. Or copy the skill folder (skills/market-top-detector in tradermonty/claude-trading-skills) into .agents/skills/market-top-detector in your project. Codex loads it when a task matches its description.
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 market-top-detector -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/market-top-detector, .gemini/skills/market-top-detector, .github/skills/market-top-detector and .opencode/skills/market-top-detector in your project.
Going by SKILL.md and its folder, Market Top Detector 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.
SKILL.md names 2 domains. In commands or code: barchart.com and ycharts.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.
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.
Market Top Detector is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.2k tokens (SKILL.md is roughly 8.6k 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 4.7k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Market Top Detector: Distributed Triage (pytorch/pytorch, 104k stars), Threat Detection (alirezarezvani/claude-skills, 28k stars), Resemble Detect (github/awesome-copilot, 40k stars) and Pii Detect (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.