Agent skill

Scanning Market Movers

Real-time detection and analysis of significant price movements and unusual volume patterns across cryptocurrency markets.

MITAuto-check passedBusiness, Finance & HR

Install Scanning Market Movers

skills CLI

$ npx skills add aAAaqwq/AGI-Super-Team --skill scanning-market-movers -a claude-code

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

GitHub CLI

$ gh skill install aAAaqwq/AGI-Super-Team scanning-market-movers --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/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/market-movers-scanner .claude/skills/scanning-market-movers && 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 "scanning-market-movers" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/market-movers-scanner into .claude/skills/scanning-market-movers/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scanning-market-movers", 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/aAAaqwq/AGI-Super-Team/tree/main/skills/market-movers-scanner

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 aAAaqwq/AGI-Super-Team --skill scanning-market-movers -a codex

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

GitHub CLI

$ gh skill install aAAaqwq/AGI-Super-Team scanning-market-movers --agent codex

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

Manual copy

$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/market-movers-scanner .agents/skills/scanning-market-movers && 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 "scanning-market-movers" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/market-movers-scanner into .agents/skills/scanning-market-movers/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scanning-market-movers", 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 aAAaqwq/AGI-Super-Team --skill scanning-market-movers -a cursor

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

GitHub CLI

$ gh skill install aAAaqwq/AGI-Super-Team scanning-market-movers --agent cursor

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

Manual copy

$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/market-movers-scanner .cursor/skills/scanning-market-movers && 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 "scanning-market-movers" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/market-movers-scanner into .cursor/skills/scanning-market-movers/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scanning-market-movers", 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/aAAaqwq/AGI-Super-Team.git --path skills/market-movers-scanner

--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 aAAaqwq/AGI-Super-Team --skill scanning-market-movers -a gemini-cli

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

GitHub CLI

$ gh skill install aAAaqwq/AGI-Super-Team scanning-market-movers --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/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/market-movers-scanner .gemini/skills/scanning-market-movers && 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 "scanning-market-movers" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/market-movers-scanner into .gemini/skills/scanning-market-movers/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scanning-market-movers", 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 aAAaqwq/AGI-Super-Team scanning-market-movers

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 aAAaqwq/AGI-Super-Team --skill scanning-market-movers -a github-copilot

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

Manual copy

$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/market-movers-scanner .github/skills/scanning-market-movers && 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 "scanning-market-movers" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/market-movers-scanner into .github/skills/scanning-market-movers/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scanning-market-movers", 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 aAAaqwq/AGI-Super-Team --skill scanning-market-movers -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 aAAaqwq/AGI-Super-Team scanning-market-movers --agent opencode

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

Manual copy

$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/market-movers-scanner .opencode/skills/scanning-market-movers && 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 "scanning-market-movers" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/market-movers-scanner into .opencode/skills/scanning-market-movers/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scanning-market-movers", 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: scanning-market-movers
GitHub stars: 105
Token cost: ~2.1k tokens
SKILL.md length: 363 words
Files: 12 (incl. scripts, references)
Skills in repo: 167
Repo updated: Oct 8, 2026
First seen: Oct 9, 2026
Licence: MIT

At a glance

Real-time detection and analysis of significant price movements and unusual volume patterns across cryptocurrency markets.

Works in 5 steps: Quick Market Scan → Custom Thresholds → Category Filtering → …
Tracking market movers
SKILL.md covers Overview, Prerequisites, Instructions and Output, plus 6 more sections
Runs Python scripts from its folder; calls python and pip

What it does

Scanning Market Movers is an agent skill from aAAaqwq/AGI-Super-Team. Real-time detection and analysis of significant price movements and unusual volume patterns across cryptocurrency markets. This skill identifies top g Detect significant price movements and unusual volume across crypto markets. Calculates significance scores combining price change, volume ratio, and market cap. Use when tracking market movers, finding gainers/losers, or detecting volume spikes. Trigger with phrases like "scan market movers", "top gainers", "biggest losers", "volume spikes", "what's moving", "find…

Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 14 other files, including scripts and reference files (for example `ARD.md`, `PRD.md` and `config/settings.yaml`).

It sits in Business, Finance & HR, covering Crypto and DeFi analysis. The repository describes itself as: An installable, cross-framework AI organization: C-suite agents, expert subagents, curated skills, independent review, and one-command setup across 18 AI client/runtime adapters. The licence is MIT.

When your agent uses it

Tracking market movers
Finding gainers/losers
Detecting volume spikes
With phrases like scan market movers

Example prompts

“scan market movers”
“top gainers”
“biggest losers”
“/scanning-market-movers”

Requirements

Python 3
Pre-approved tools (allowed-tools): Read, Write, Edit, Grep, Glob, Bash(python:*)

Workflow steps

5 steps, taken from the step headings in SKILL.md.

Quick Market Scan
Custom Thresholds
Category Filtering
Different Timeframes
Export Results

What it can do on your machine

Read from SKILL.md and the folder at commit 7cefd81. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
- Read
- Write
- Edit
- Grep
- Glob
- Bash(python:*)
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 5 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python
- pip
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
- coingecko.com
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

Scanning Market Movers loads about 2.1k tokens when it runs, and up to ~5.7k if it reads all its reference files. Until then it costs about 142 tokens; SKILL.md has 363 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~142
When it runs · the whole SKILL.md, loaded when a task matches: ~2.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~5.7k

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 aAAaqwq/AGI-Super-Team at commit 7cefd81, republished under its MIT licence (© aAAaqwq). 363 words, ~2,112 tokens.

Download SKILL.mdSave it as .claude/skills/scanning-market-movers/SKILL.md (or your agent's skills folder). This skill also uses 11 other files; get the full folder from GitHub.

name: scanning-market-movers
description: Real-time detection and analysis of significant price movements and unusual volume patterns across cryptocurrency markets. This skill identifies top g Detect significant price movements and unusual volume across crypto markets. Calculates significance scores combining price change, volume ratio, and market cap. Use when tracking market movers, finding gainers/losers, or detecting volume spikes. Trigger with phrases like "scan market movers", "top gainers", "biggest losers", "volume spikes", "what's moving", "find pumps", or "market scan".
allowed-tools: Read, Write, Edit, Grep, Glob, Bash(python:*)
version: 2.0.0
author: Jeremy Longshore <jeremy@intentsolutions.io>
license: MIT

Scanning Market Movers

Overview

Real-time detection and analysis of significant price movements and unusual volume patterns across cryptocurrency markets. This skill identifies top gainers, losers, and volume spikes, ranking them by a composite significance score.

Key Features:

Scan 1,000+ cryptocurrencies for movers
Configurable thresholds (change %, volume spike, market cap)
Significance scoring for prioritization
Category filtering (DeFi, L2, NFT, etc.)
Multiple output formats (table, JSON, CSV)

Dependency: This skill uses tracking-crypto-prices from market-price-tracker plugin for price data infrastructure.

Prerequisites

Install required dependencies:

bash

pip install requests pandas

Dependency Setup: Ensure market-price-tracker plugin is installed with tracking-crypto-prices skill configured.

Instructions

Step 1: Quick Market Scan

Run a default scan for top gainers and losers:

bash

python {baseDir}/scripts/scanner.py

This returns the top 20 gainers and top 20 losers by 24h change with volume confirmation.

Step 2: Custom Thresholds

Scan with specific criteria:

bash

# Only show moves > 10% with volume spike > 3x
python {baseDir}/scripts/scanner.py --min-change 10 --volume-spike 3

# Filter by market cap
python {baseDir}/scripts/scanner.py --min-cap 100000000 --max-cap 1000000000

Step 3: Category Filtering

Focus on specific sectors:

bash

# DeFi tokens only
python {baseDir}/scripts/scanner.py --category defi

# Layer 2 tokens
python {baseDir}/scripts/scanner.py --category layer2

# Available: defi, layer2, nft, gaming, meme

Step 4: Different Timeframes

Scan across timeframes:

bash

# 1-hour movers
python {baseDir}/scripts/scanner.py --timeframe 1h

# 7-day movers
python {baseDir}/scripts/scanner.py --timeframe 7d

Step 5: Export Results

Save results for analysis:

bash

# JSON export
python {baseDir}/scripts/scanner.py --format json --output movers.json

# CSV export
python {baseDir}/scripts/scanner.py --format csv --output movers.csv

Output

Default Table Output

================================================================================
  MARKET MOVERS                                    Updated: 2025-01-14 15:30:00
================================================================================

  TOP GAINERS (24h)
--------------------------------------------------------------------------------
  Rank  Symbol      Price         Change    Vol Ratio   Market Cap    Score
--------------------------------------------------------------------------------
    1   XYZ       $1.234        +45.67%        5.2x      $123.4M      89.3
    2   ABC       $0.567        +32.10%        3.8x       $45.6M      76.5
    3   DEF       $2.890        +28.45%        2.9x      $234.5M      71.2
--------------------------------------------------------------------------------

  TOP LOSERS (24h)
--------------------------------------------------------------------------------
  Rank  Symbol      Price         Change    Vol Ratio   Market Cap    Score
--------------------------------------------------------------------------------
    1   GHI       $3.456        -28.90%        4.1x       $89.1M      72.1
    2   JKL       $0.123        -22.34%        2.5x       $12.3M      58.9
--------------------------------------------------------------------------------

  Summary: 42 movers found | Scanned: 1000 assets
================================================================================

JSON Output (--format json)

json

{
  "gainers": [
    {
      "rank": 1,
      "symbol": "XYZ",
      "name": "Example Token",
      "price": 1.234,
      "change_24h": 45.67,
      "volume_ratio": 5.2,
      "market_cap": 123400000,
      "significance_score": 89.3,
      "category": "defi"
    }
  ],
  "losers": [...],
  "meta": {
    "scan_time": "2025-01-14T15:30:00Z",
    "thresholds": {
      "min_change": 5,
      "volume_spike": 2,
      "min_market_cap": 10000000
    },
    "total_scanned": 1000,
    "matches": 42
  }
}

Significance Score

The significance score (0-100) combines:

Change % (40%): Larger moves score higher
Volume Ratio (40%): Higher volume confirmation scores higher
Market Cap (20%): Larger caps score slightly higher

Higher scores indicate more significant, higher-conviction moves.

Configuration

Edit {baseDir}/config/settings.yaml:

yaml

# Default Thresholds
thresholds:
  min_change: 5           # Minimum % change to include
  volume_spike: 2         # Minimum volume ratio (current/avg)
  min_market_cap: 10000000  # $10M minimum
  max_market_cap: null    # No maximum by default

# Scoring Weights
scoring:
  change_weight: 0.40
  volume_weight: 0.40
  cap_weight: 0.20

# Display
display:
  top_n: 20               # Number of results per category
  sort_by: significance   # significance, change, volume, market_cap

# Categories (CoinGecko category IDs)
categories:
  defi:
    - decentralized-finance-defi
    - yield-farming
  layer2:
    - layer-2
    - polygon-ecosystem
    - arbitrum-ecosystem
  nft:
    - non-fungible-tokens-nft
  gaming:
    - gaming
  meme:
    - meme-token

Named Presets

Create presets in {baseDir}/config/presets/:

aggressive.yaml:

yaml

min_change: 3
volume_spike: 1.5
min_market_cap: 1000000
top_n: 50

conservative.yaml:

yaml

min_change: 10
volume_spike: 3
min_market_cap: 100000000
top_n: 10

Use with:

bash

python {baseDir}/scripts/scanner.py --preset aggressive

Error Handling

See {baseDir}/references/errors.md for comprehensive error handling.

Show full SKILL.md (144 more words)Show less

Common Errors

Error	Cause	Solution
`Dependency not found`	tracking-crypto-prices unavailable	Install market-price-tracker plugin
`No movers found`	Thresholds too strict	Relax thresholds with lower values
`Rate limit exceeded`	Too many API calls	Wait or use cached data
`Partial results`	Some assets unavailable	Normal, proceed with available data

Examples

See {baseDir}/references/examples.md for detailed usage examples.

Example 1: Daily Scan

bash

python {baseDir}/scripts/scanner.py --timeframe 24h --top 20

Example 2: Volume Spike Hunt

bash

python {baseDir}/scripts/scanner.py --volume-spike 5 --min-volume 1000000

Example 3: DeFi Movers Export

bash

python {baseDir}/scripts/scanner.py --category defi --format csv --output defi_movers.csv

Example 4: High-Cap Gainers

bash

python {baseDir}/scripts/scanner.py --min-cap 1000000000 --gainers-only --top 10

Integration with Other Skills

This skill can be combined with other crypto skills:

With crypto-signal-generator:

bash

# Get movers, then generate signals for top gainers
python {baseDir}/scripts/scanner.py --format json | \
  python ../crypto-signal-generator/.../scanner.py --from-stdin

With arbitrage-opportunity-finder: Volume spikes often precede arbitrage opportunities. Use movers as input for arbitrage scanning.

Files

File	Purpose
`scripts/scanner.py`	Main CLI entry point
`scripts/analyzer.py`	Core analysis logic
`scripts/filters.py`	Threshold filtering
`scripts/scorers.py`	Significance scoring
`scripts/formatters.py`	Output formatting
`config/settings.yaml`	User configuration
`config/presets/`	Named preset configurations

Resources

PRD.md - Product requirements
ARD.md - Architecture documentation
Depends on: tracking-crypto-prices skill
CoinGecko API documentation: https://www.coingecko.com/en/api

Files

SKILL.md and 11 other files (scripts, references) in skills/market-movers-scanner of aAAaqwq/AGI-Super-Team.

SKILL.md
ARD.md
PRD.md
config/settings.yaml
references/errors.md
references/examples.md
references/implementation.md
scripts/analyzer.py
scripts/filters.py
scripts/formatters.py
scripts/scanner.py
scripts/scorers.py

Open the folder on GitHubat commit 7cefd81

Compare with similar skills

Scanning Market Movers 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.

Scanning Market Movers compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Scanning Market Movers this skillaAAaqwq/AGI-Super-Team	105	—	~2.1k	Automated safety check: Pass	MIT	2 days ago
Technical Analysttradermonty/claude-trading-skills	3k	4 repos	~4.6k	Automated safety check: Pass	MIT	today
Polyclawchainstacklabs/polyclaw	359	1 repos	~2k	Automated safety check: Pass	Apache-2.0	5 mo ago
Longbridge Researchhelsome/folio	271	3 repos	~2.1k	Automated safety check: Pass	MIT	7 days ago
Stock Analysis24mlight/StockClaw	101	2 repos	~2k	Automated safety check: Notes	MIT	7 mo ago
Swapper Depositswapperfinance/swapper-toolkit	852	—	~1.8k	Automated safety check: Pass	MIT	6 mo ago

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Questions about Scanning Market Movers

What does Scanning Market Movers do?

Real-time detection and analysis of significant price movements and unusual volume patterns across cryptocurrency markets. Scanning Market Movers is an agent skill from aAAaqwq/AGI-Super-Team. Real-time detection and analysis of significant price movements and unusual volume patterns across cryptocurrency markets.

When should I use Scanning Market Movers?

Scanning Market Movers fits situations like: tracking market movers; finding gainers/losers; detecting volume spikes; with phrases like scan market movers.

How do I install Scanning Market Movers in Claude Code?

Run `npx skills add aAAaqwq/AGI-Super-Team --skill scanning-market-movers -a claude-code`. Or copy the skill folder (skills/market-movers-scanner in aAAaqwq/AGI-Super-Team) into .claude/skills/scanning-market-movers in your project. Claude Code loads it when a task matches its description.

How do I install Scanning Market Movers in Codex?

Run `npx skills add aAAaqwq/AGI-Super-Team --skill scanning-market-movers -a codex`. Or copy the skill folder (skills/market-movers-scanner in aAAaqwq/AGI-Super-Team) into .agents/skills/scanning-market-movers in your project. Codex loads it when a task matches its description.

Can I use Scanning Market Movers 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 aAAaqwq/AGI-Super-Team --skill scanning-market-movers -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scanning-market-movers, .gemini/skills/scanning-market-movers, .github/skills/scanning-market-movers and .opencode/skills/scanning-market-movers in your project.

What does Scanning Market Movers need to run?

Going by SKILL.md and its folder, Scanning Market Movers needs Python for the scripts in its folder and the command-line tools its instructions call (python and pip). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Edit, Grep, Glob, Bash(python:*).

Does Scanning Market Movers access the network?

SKILL.md names 1 domain. As links in the text: coingecko.com. This is read from the text; nothing was executed.

Is Scanning Market Movers 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 Scanning Market Movers use?

Scanning Market Movers is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Scanning Market Movers use?

About 2.1k tokens (SKILL.md is roughly 8.4k 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 3.5k tokens, read only when the agent opens those files.

What are the alternatives to Scanning Market Movers?

Skills that share tags, products or a category with Scanning Market Movers: Technical Analyst (tradermonty/claude-trading-skills, 3k stars), Polyclaw (chainstacklabs/polyclaw, 359 stars), Longbridge Research (helsome/folio, 271 stars) and Stock Analysis (24mlight/StockClaw, 101 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Scanning Market Movers?

aAAaqwq (a GitHub user) maintains it in aAAaqwq/AGI-Super-Team, which has 105 GitHub stars. The repository holds 167 skills in this directory. The repository was last updated on October 8, 2026.

Source: aAAaqwq/AGI-Super-Team on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Scanning Market Movers

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

Scanning Market Movers

Overview

Prerequisites

Instructions

Step 1: Quick Market Scan

Step 2: Custom Thresholds

Step 3: Category Filtering

Step 4: Different Timeframes

Step 5: Export Results

Output

Default Table Output

JSON Output (--format json)

Significance Score

Configuration

Named Presets

Error Handling

Common Errors

Examples

Example 1: Daily Scan

Example 2: Volume Spike Hunt

Example 3: DeFi Movers Export

Example 4: High-Cap Gainers

Integration with Other Skills

Files

Resources

Files

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