Agent skill

Messari Alpha Scout

by moonpay in moonpay/skills

Alpha scouting workflow using Messari x402. An agent skill from moonpay/skills.

MITAuto-check passed

Install Messari Alpha Scout

skills CLI
$ npx skills add moonpay/skills --skill messari-alpha-scout -a claude-code

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

GitHub CLI
$ gh skill install moonpay/skills messari-alpha-scout --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/moonpay/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/messari-alpha-scout .claude/skills/messari-alpha-scout && 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/

Facts

Skill name
messari-alpha-scout
GitHub stars
113
Token cost
~1.5k tokens
SKILL.md length
298 words
Files
1
Skills in repo
39
Repo updated
First seen
Licence
MIT

At a glance

Alpha scouting workflow using Messari x402. An agent skill from moonpay/skills.

  • Works in 6 steps: Preflight: check balance → Mindshare gainers 24h (~$0.35) → Mindshare gainers 7d (~$0.35) → …
  • SKILL.md covers Goal, Trigger phrases, Step 0 — Preflight: check… and Step 1 — Mindshare gainers 24h…, plus 10 more sections
  • Reaches api.messari.io

What it does

Messari Alpha Scout is an agent skill from moonpay/skills. Alpha scouting workflow using Messari x402. Scans mindshare gainers, trending topics, and news to surface emerging narratives and high-momentum assets. Total cost ~$1.25 USDC per run.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with Circle USDC and x402. The repository describes itself as: Skills for AI agents to move money — on-ramps, swaps, wallets, deposits, and more via the MoonPay CLI. The licence is MIT.

Example prompts

  • “/messari-alpha-scout”

Workflow steps

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

  1. Preflight: check balance
  2. Mindshare gainers 24h (~$0.35)
  3. Mindshare gainers 7d (~$0.35)
  4. Trending topics today (~$0.25)
  5. News flow (~$0.55)
  6. AI narrative synthesis (~$0.25)

What it can do on your machine

Read from SKILL.md and the folder at commit aa672ab. 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

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • api.messari.io

    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

Messari Alpha Scout loads about 1.5k tokens when it runs. Until then it costs about 51 tokens; SKILL.md has 298 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~51
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from moonpay/skills at commit aa672ab, republished under its MIT licence (© moonpay). 298 words, ~1,513 tokens.

Download SKILL.mdSave it as .claude/skills/messari-alpha-scout/SKILL.md (or your agent's skills folder).
name
messari-alpha-scout
description
Alpha scouting workflow using Messari x402. Scans mindshare gainers, trending topics, and news to surface emerging narratives and high-momentum assets. Total cost ~$1.25 USDC per run.
tags
messari, alpha, signals, trending, x402, workflow

Messari Alpha Scout Workflow

Goal

Surface emerging narratives and high-momentum assets by combining mindshare gainers, trending topics, news flow, and AI synthesis. Designed as a daily morning brief or on-demand alpha scan.

Total cost per run: ~$1.25 USDC on Base

Trigger phrases

  • "Find me alpha"
  • "What's trending in crypto?"
  • "What narratives are heating up?"
  • "Morning brief"
  • "What should I be watching today?"

Step 0 — Preflight: check balance

bash
mp token balance list --wallet main --chain base --json

Ensure at least $2.00 USDC on Base.


Step 1 — Mindshare gainers 24h (~$0.35)

bash
mp x402 request \
  --method GET \
  --url "https://api.messari.io/signal/v1/assets/mindshare-gainers-24h" \
  --wallet main \
  --chain base

Extract: top 5–10 assets with largest mindshare increases in the past 24h. Note the slugs for Step 4.


Step 2 — Mindshare gainers 7d (~$0.35)

bash
mp x402 request \
  --method GET \
  --url "https://api.messari.io/signal/v1/assets/mindshare-gainers-7d" \
  --wallet main \
  --chain base

Extract: assets with sustained mindshare growth over a week — these indicate forming narratives, not just noise.


bash
mp x402 request \
  --method GET \
  --url "https://api.messari.io/v1/current" \
  --wallet main \
  --chain base

Extract: today's top narratives and topic clusters. Cross-reference with Steps 1–2 to confirm narrative alignment.


Step 4 — News flow (~$0.55)

Pull recent news filtered to the top assets identified in Step 1:

bash
mp x402 request \
  --method GET \
  --url "https://api.messari.io/news/v1/news/feed?limit=20" \
  --wallet main \
  --chain base

Extract: headlines from the past 24h, note which assets appear repeatedly, identify catalysts (partnerships, upgrades, regulatory news).


Step 5 — AI narrative synthesis (~$0.25)

bash
mp x402 request \
  --method POST \
  --url "https://api.messari.io/ai/v2/chat/completions" \
  --body '{
    "model": "messari",
    "messages": [
      {
        "role": "system",
        "content": "You are a crypto alpha analyst. Given mindshare gainers, trending topics, and news, identify: 1) The top 3 emerging narratives, 2) Assets best positioned to benefit from each narrative, 3) Conviction level (high/medium/low) and why, 4) Key risks to watch."
      },
      {
        "role": "user",
        "content": "24h mindshare gainers: {step1_output}. 7d gainers: {step2_output}. Trending topics: {step3_output}. News: {step4_headlines}"
      }
    ]
  }' \
  --wallet main \
  --chain base

Full workflow script

bash
#!/bin/bash
# messari-alpha-scout.sh
# Runs a full alpha scan and saves results

WALLET="main"
CHAIN="base"
BASE="https://api.messari.io"
OUT="$HOME/.config/moonpay/research/alpha-$(date -u +%Y%m%d-%H%M%S)"
mkdir -p "$(dirname "$OUT")"

echo "=== [1/4] Mindshare Gainers 24h ==="
G24=$(mp x402 request --method GET \
  --url "${BASE}/signal/v1/assets/mindshare-gainers-24h" \
  --wallet "$WALLET" --chain "$CHAIN")
echo "$G24" > "${OUT}-gainers-24h.json"

echo "=== [2/4] Mindshare Gainers 7d ==="
G7D=$(mp x402 request --method GET \
  --url "${BASE}/signal/v1/assets/mindshare-gainers-7d" \
  --wallet "$WALLET" --chain "$CHAIN")
echo "$G7D" > "${OUT}-gainers-7d.json"

echo "=== [3/4] Trending Topics ==="
TOPICS=$(mp x402 request --method GET \
  --url "${BASE}/v1/current" \
  --wallet "$WALLET" --chain "$CHAIN")
echo "$TOPICS" > "${OUT}-topics.json"

echo "=== [4/4] News Feed ==="
NEWS=$(mp x402 request --method GET \
  --url "${BASE}/news/v1/news/feed?limit=20" \
  --wallet "$WALLET" --chain "$CHAIN")
echo "$NEWS" > "${OUT}-news.json"

echo ""
echo "Alpha scan saved to ${OUT}-*.json"
echo "Total cost: ~\$1.20 USDC"
echo ""
echo "Pass results to Messari AI for narrative synthesis (Step 5)"

Schedule as a daily morning brief

Schedule with cron (runs every day at 7:00 AM):

bash
# Add to crontab
(crontab -l 2>/dev/null; echo '0 7 * * * ~/.config/moonpay/scripts/messari-alpha-scout.sh # messari:alpha') | crontab -

Output format

Present to the user as:

## Alpha Brief — [Date]
**Cost:** ~$1.20 USDC | **Chain:** Base

### Emerging Narratives

**1. [Narrative Name]** — Conviction: HIGH/MEDIUM/LOW
Assets: [token1], [token2]
Signal: [why this narrative is heating up]
Risk: [key risk]

**2. [Narrative Name]** — Conviction: HIGH/MEDIUM/LOW
...

### Assets to Watch
| Asset | 24h Mindshare Δ | 7d Mindshare Δ | Catalyst |
|-------|----------------|----------------|---------|
| BTC   | +12%           | +8%            | ETF inflows |
| ...   |                |                |         |

### Key News
- [headline 1]
- [headline 2]
- [headline 3]

Next steps after alpha scan

Once you identify high-conviction assets:

bash
# Deep dive on a specific token
# → use messari-token-research skill

# Act on the research
mp token swap \
  --wallet main \
  --chain base \
  --from-token usdc \
  --from-amount <AMOUNT> \
  --to-token <TOKEN>

Notes

  • Overlap between 24h and 7d gainers = stronger signal (not just noise)
  • Topics in Step 3 that match assets in Steps 1–2 = high-conviction narrative plays
  • Run daily before market open for best effect
  • Payments in USDC on Base (--chain base)
  • messari-x402 — Core endpoint reference
  • messari-token-research — Deep dive on any asset surfaced by the scan
  • messari-deep-research — Full async report on a narrative or asset
  • moonpay-swap-tokens — Execute trades after research
  • moonpay-budget-agent — Cap daily research spend
  • moonpay-trading-automation — Automate the daily brief via cron/launchd

© moonpay, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/messari-alpha-scout of moonpay/skills.

Open the folder on GitHubat commit aa672ab

Compare with similar skills

Messari Alpha Scout 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.

Messari Alpha Scout compared with similar skills
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Messari Alpha Scout this skillmoonpay/skills113—~1.5kAutomated safety check: PassMIT
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Kleros IPFS Uploadinternet-court/internet-court-skill6.5k—~4.9kAutomated safety check: NotesMIT
Polymarket TradingBlockRunAI/ClawRouter6.6k—~1.4kAutomated safety check: PassMIT
Minara Crypto Trading and WalletMinara-AI/minara-skills362—~5.7kAutomated safety check: PassNone
Predexon Prediction Market DataBlockRunAI/ClawRouter6.6k—~4.7kAutomated safety check: PassMIT

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Works with

Questions about Messari Alpha Scout

What does Messari Alpha Scout do?

Alpha scouting workflow using Messari x402. An agent skill from moonpay/skills. Messari Alpha Scout is an agent skill from moonpay/skills. Alpha scouting workflow using Messari x402.

How do I install Messari Alpha Scout in Claude Code?

Run `npx skills add moonpay/skills --skill messari-alpha-scout -a claude-code`. Or copy the skill folder (skills/messari-alpha-scout in moonpay/skills) into .claude/skills/messari-alpha-scout in your project. Claude Code loads it when a task matches its description.

How do I install Messari Alpha Scout in Codex?

Run `npx skills add moonpay/skills --skill messari-alpha-scout -a codex`. Or copy the skill folder (skills/messari-alpha-scout in moonpay/skills) into .agents/skills/messari-alpha-scout in your project. Codex loads it when a task matches its description.

Can I use Messari Alpha Scout 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 moonpay/skills --skill messari-alpha-scout -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/messari-alpha-scout, .gemini/skills/messari-alpha-scout, .github/skills/messari-alpha-scout and .opencode/skills/messari-alpha-scout in your project.

What does Messari Alpha Scout need to run?

SKILL.md names no scripts, command-line tools or credentials: Messari Alpha Scout is instructions for the agent only.

Does Messari Alpha Scout access the network?

SKILL.md names 1 domain. In commands or code: api.messari.io; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Messari Alpha Scout 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. Review the folder before installing.

What licence does Messari Alpha Scout use?

Messari Alpha Scout 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 Messari Alpha Scout use?

About 1.5k tokens (SKILL.md is roughly 6.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Messari Alpha Scout?

Skills that share tags, products or a category with Messari Alpha Scout: Agentic Wallet (coinbase/agentic-wallet-skills, 127 stars), Kleros IPFS Upload (internet-court/internet-court-skill, 6.5k stars), Polymarket Trading (BlockRunAI/ClawRouter, 6.6k stars) and Minara Crypto Trading and Wallet (Minara-AI/minara-skills, 362 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Messari Alpha Scout?

moonpay (a GitHub organization) maintains it in moonpay/skills, which has 113 GitHub stars. The repository holds 39 skills in this directory. The repository was last updated on September 10, 2026.

Source: moonpay/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.