Agent skill

Fomo Research

by LeoYeAI in LeoYeAI/openclaw-master-skills

Smart money research via Fomo social graph. An agent skill from LeoYeAI/openclaw-master-skills.

MITAuto-check passed

Install Fomo Research

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill fomo-research -a claude-code

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

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills fomo-research --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/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/fomo-research .claude/skills/fomo-research && 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
fomo-research
GitHub stars
2.2k
Token cost
~4.4k tokens
SKILL.md length
1,588 words
Files
4 (incl. references)
Skills in repo
1,235
Repo updated
First seen
Licence
MIT

At a glance

Smart money research via Fomo social graph. An agent skill from LeoYeAI/openclaw-master-skills.

  • Works in 4 steps: Register → Ask about crypto wallet (optional) → Ask about Fomo profile → …
  • User asks about smart money
  • SKILL.md covers Base URL, First-Run Onboarding, Understanding the Data Model and How Activity Scoping Works, plus 3 more sections
  • Calls curl; reaches api.cope.capital; needs COPE_API_KEY

What it does

Fomo Research is an agent skill from LeoYeAI/openclaw-master-skills. Smart money research via Fomo social graph. Track top traders, monitor live trades, build watchlists — all from your agent. Powered by fomo.family, built by cope.capital. Use when: (1) user asks about smart money, whale wallets, or top traders, (2) user wants to track specific Fomo handles or crypto traders, (3) user asks "what are the best traders buying", "who's profitable on fomo", (4) user wants real-time trade alerts or wallet monitoring, (5) user says "fomo research", "check fomo", "smart money", "wallet…

Its SKILL.md is about 4.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `CHANGELOG.md`, `_meta.json` and `references/api.md`).

It works with x402. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.

When your agent uses it

  • User asks about smart money
  • User wants to track specific Fomo handles
  • User asks what are the best traders buying
  • Whos profitable on fomo

Example prompts

  • “what are the best traders buying”
  • “s profitable on fomo”
  • “fomo research”
  • “/fomo-research”

Requirements

  • A credential in COPE_API_KEY

Workflow steps

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

  1. Register
  2. Ask about crypto wallet (optional)
  3. Ask about Fomo profile
  4. Create initial watchlist

What it can do on your machine

Read from SKILL.md and the folder at commit e5199b5. 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

    Shell commands in SKILL.md call:

    • curl

    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.cope.capital

    Also links to:

    • fomo.family
    • cope.capital
    • x.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • COPE_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Fomo Research loads about 4.4k tokens when it runs, and up to ~6.3k if it reads all its reference files. Until then it costs about 155 tokens; SKILL.md has 1,588 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~155
When it runs · the whole SKILL.md, loaded when a task matches
~4.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.3k

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 LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 1,588 words, ~4,436 tokens.

Download SKILL.mdSave it as .claude/skills/fomo-research/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
fomo-research
description
Smart money research via Fomo social graph. Track top traders, monitor live trades, build watchlists — all from your agent. Powered by fomo.family, built by cope.capital. Use when: (1) user asks about smart money, whale wallets, or top traders, (2) user wants to track specific Fomo handles or crypto traders, (3) user asks "what are the best traders buying", "who's profitable on fomo", (4) user wants real-time trade alerts or wallet monitoring, (5) user says "fomo research", "check fomo", "smart money", "wallet tracker". NOT for: executing trades, managing funds, or anything requiring private keys.
homepage
https://cope.capital
source
https://github.com/pooowell/fomo-research-skill
primaryEnv
COPE_API_KEY

Fomo Research

Smart money intelligence for AI agents. Powered by fomo.family social graph, built by cope.capital.

For full API details (endpoints, schemas, error codes): read references/api.md.

Base URL

https://api.cope.capital

All requests require Authorization: Bearer cope_<key> header.

First-Run Onboarding

When this skill is first loaded and no COPE_API_KEY is set, walk your human through setup. Ask these questions in order:

Step 1: Register
bash
curl -X POST https://api.cope.capital/v1/register \
  -H "Content-Type: application/json" \
  -d '{"agent_name": "YOUR_AGENT_NAME", "description": "optional description"}'

Save the api_key from the response (starts with cope_). This is your COPE_API_KEY. Store it securely — treat it like a password.

Step 2: Ask about crypto wallet (optional)

Before continuing, ask your human:

"Do you have a crypto wallet (USDC on Base or Solana) you'd like to connect for expanded features? Without one you get:

  • 1 watchlist with up to 10 handles
  • 250 activity lookups per day (resets midnight UTC)
  • Everything else (leaderboard, trending, polling) is unlimited and free

With a wallet connected (x402), you get 10 watchlists, 100 handles each, and unlimited activity calls at $0.005/call. You can always add a wallet later."

If they want to set up x402 now:

bash
curl -X PATCH https://api.cope.capital/v1/account \
  -H "Authorization: Bearer cope_YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{"x402_enabled": true}'

If they say no or don't have a wallet — that's fine, move on. The free tier is fully functional. Don't push it.

Step 3: Ask about Fomo profile

"Do you have a Fomo account (fomo.family)? If so, I can sync your follows and build a watchlist from the traders you already follow."

If yes:

bash
# Sync their profile
curl -X POST https://api.cope.capital/v1/account/sync-fomo \
  -H "Authorization: Bearer cope_YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{"fomo_handle": "THEIR_FOMO_USERNAME"}'

# Pull their follows
curl https://api.cope.capital/v1/account/follows \
  -H "Authorization: Bearer cope_YOUR_KEY"

Then ask: "Which of these traders do you want on your watchlist?" Show them the list and let them pick (up to 10 on free tier).

Step 4: Create initial watchlist

If they don't have Fomo, offer alternatives:

"I can set up a watchlist with the top performers from Fomo's weekly leaderboard instead. Or you can give me specific trader handles you want to track."

Pick one path and create the watchlist:

bash
curl -X POST https://api.cope.capital/v1/watchlists \
  -H "Authorization: Bearer cope_YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{"name": "alpha", "handles": ["frankdegods", "randomxbt"]}'

Remind them: Free tier = 1 watchlist, 10 handles max. They can swap handles anytime.

Understanding the Data Model

What gets tracked

The system monitors on-chain wallet activity for Fomo traders. Each Fomo handle maps to one or more wallets (Solana + Base). The tracker watches every swap these wallets make.

Activity vs Trades vs Holdings

There are three different views of what a trader is doing:

1. Activity (what the API returns) Individual on-chain transactions — a single buy or sell event. This is what /v1/activity returns.

  • action: "buy" = wallet swapped into a token
  • action: "sell" = wallet swapped out of a token
  • usd_amount = the USD value of that single transaction

2. Trades (completed round-trips) A trade is a full cycle: buy → sell = closed trade. The tracker aggregates individual buys and sells into trades:

  • usd_in = total USD spent buying this token (may be multiple buy txs)
  • usd_out = total USD received selling this token
  • pnl = usd_out - usd_in (profit/loss)
  • open_at = when first buy happened
  • close_at = when last sell happened (NULL if still holding)

3. Current Holdings (open positions) Tokens a wallet bought but hasn't fully sold yet. These are trades with no close_at.

How to interpret activity data

When you see activity from a trader, here's what to understand:

  • A "buy" doesn't mean they just entered — they might be adding to an existing position
  • A "sell" doesn't mean they exited — they might be taking partial profits
  • Multiple buys of the same token = building a position over time (higher conviction)
  • Buy followed quickly by sell = likely a quick flip/scalp
  • Sell with no recent buy = closing an older position
When presenting data to humans

Always label clearly:

  • New buys: "X just bought [token]" — recent buy activity, may or may not be a new position
  • Recent exits: "X sold [token]" — could be partial or full exit
  • Don't say "X opened a position" unless you can confirm there were no prior buys of that token

How Activity Scoping Works

Important: The /v1/activity endpoint returns recent trades from all wallets tracked by the system, not just your watchlist. Your watchlist is for organizing which traders YOU care about — use the ?handle= filter to see activity for specific handles.

This means you can query any Fomo handle's trades without adding them to your watchlist:

bash
# Check what frankdegods is buying (uses 1 of your 250 daily calls)
curl "https://api.cope.capital/v1/activity?handle=frankdegods&action=buy" \
  -H "Authorization: Bearer cope_YOUR_KEY"

Your watchlist is a convenience for organizing — the activity data is available for any tracked handle.

Endpoints

Always Free (no daily limit)
EndpointMethodDescription
/v1/registerPOSTGet an API key
/v1/leaderboardGETTop traders ranked by real PnL
/v1/activity/pollGETLightweight check for new trades (count + timestamp)
/v1/watchlistsGET/POSTList or create watchlists
/v1/watchlists/{id}GET/PUT/DELETEManage a specific watchlist
/v1/trending/handlesGETMost-watched handles across all agents
/v1/tokens/hotGETTrending tokens by unique buyer count
/v1/handle/{handle}/statsGETAggregated trader stats (PnL, win rate, top trades)
/v1/tokens/{mint}/thesisGETBuy theses + sentiment for a token
/v1/convergenceGETConvergence events (2+ wallets buying same token)
/v1/traders/searchGETSearch traders by win rate, PnL, trades
/v1/handle/{handle}/positionsGETOpen/closed positions for a trader
/v1/handle/{handle}/thesesGETAll theses by a specific trader
/v1/accountGET/PATCHAccount info and settings
/v1/account/usageGETUsage statistics
/v1/account/paymentsGETPayment history
/v1/account/keyDELETERevoke API key
/v1/account/sync-fomoPOSTSync Fomo profile follows
/v1/account/followsGETList stored Fomo follows
Counted (250/day free, then x402 or wait)
EndpointMethodDescriptionx402 price
/v1/activityGETFull trade details from tracked wallets$0.005/call

These endpoints count toward your daily 250 free calls. After that:

  • With x402 enabled: calls continue at $0.005/call USDC (auto-paid)
  • Without x402: you get a 402 error. Wait for midnight UTC reset or enable x402.

The 402 error is NOT a bug — it just means your free calls are used up for the day.

Common Workflows

Check the leaderboard
bash
curl https://api.cope.capital/v1/leaderboard \
  -H "Authorization: Bearer cope_YOUR_KEY"

Returns top traders by PnL from Fomo. Supports ?timeframe=24h|7d|30d|all and ?limit=N.

Build a watchlist from Fomo follows
bash
# 1. Sync your Fomo profile
curl -X POST https://api.cope.capital/v1/account/sync-fomo \
  -H "Authorization: Bearer cope_YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{"fomo_handle": "your_handle"}'

# 2. See your follows
curl https://api.cope.capital/v1/account/follows \
  -H "Authorization: Bearer cope_YOUR_KEY"

# 3. Create a watchlist with selected handles
curl -X POST https://api.cope.capital/v1/watchlists \
  -H "Authorization: Bearer cope_YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{"name": "alpha", "handles": ["frankdegods", "randomxbt"]}'
Poll → Fetch pattern (minimize paid calls)
bash
# Step 1: Poll (free) — check if anything happened
curl "https://api.cope.capital/v1/activity/poll?since=LAST_TIMESTAMP" \
  -H "Authorization: Bearer cope_YOUR_KEY"
# Returns: { "count": 3, "latest_at": 1707603400 }

# Step 2: Only fetch full data if count > 0 (costs 1 of your 250 daily calls)
curl "https://api.cope.capital/v1/activity?since=LAST_TIMESTAMP" \
  -H "Authorization: Bearer cope_YOUR_KEY"
Search for elite traders
bash
# Find traders with >75% win rate and 10+ trades
curl "https://api.cope.capital/v1/traders/search?min_win_rate=75&min_trades=10&sort_by=win_rate" \
  -H "Authorization: Bearer cope_YOUR_KEY"

# Top PnL traders on Solana
curl "https://api.cope.capital/v1/traders/search?sort_by=pnl&chain=solana&limit=20" \
  -H "Authorization: Bearer cope_YOUR_KEY"
Check a trader's current positions
bash
# Open positions only
curl "https://api.cope.capital/v1/handle/frankdegods/positions?status=open" \
  -H "Authorization: Bearer cope_YOUR_KEY"

# All positions (open + closed)
curl "https://api.cope.capital/v1/handle/frankdegods/positions" \
  -H "Authorization: Bearer cope_YOUR_KEY"

Shows computed positions from activity data — what they're holding vs exited, with cost basis and net USD.

Show full SKILL.md (630 more words)Show less
Get a trader's theses
bash
curl "https://api.cope.capital/v1/handle/frankdegods/theses" \
  -H "Authorization: Bearer cope_YOUR_KEY"

Returns all Fomo thesis comments by this trader across their recent tokens. Great for understanding their reasoning.

Check convergence events
bash
# Recent convergences (last 24h)
curl "https://api.cope.capital/v1/convergence?limit=10" \
  -H "Authorization: Bearer cope_YOUR_KEY"

Returns tokens where 2+ elite wallets converged. Each event includes:

  • Token info (mint, symbol, chain, price/mcap at detection)
  • Wallets that converged (handle, amount, win_rate)
  • ATH tracking: max_gain_pct shows peak performance since detection
Look up a trader's stats
bash
curl "https://api.cope.capital/v1/handle/frankdegods/stats" \
  -H "Authorization: Bearer cope_YOUR_KEY"

Returns aggregated stats: total trades, win rate, PnL, ROI, per-chain breakdown, top 5 trades, open positions.

Get buy theses for a token
bash
# Solana token
curl "https://api.cope.capital/v1/tokens/MINT_ADDRESS/thesis?chain=solana" \
  -H "Authorization: Bearer cope_YOUR_KEY"

# Base token
curl "https://api.cope.capital/v1/tokens/MINT_ADDRESS/thesis?chain=base" \
  -H "Authorization: Bearer cope_YOUR_KEY"

Returns trader reasoning + their actual positions. Includes sentiment summary (holding vs closed, total exposure, avg unrealized PnL). Great for understanding why traders are buying, not just what.

bash
curl "https://api.cope.capital/v1/tokens/hot?hours=24&limit=10" \
  -H "Authorization: Bearer cope_YOUR_KEY"

Returns tokens with the most unique tracked buyers in recent hours.

Filter activity
bash
# By handle
curl "https://api.cope.capital/v1/activity?handle=frankdegods" \
  -H "Authorization: Bearer cope_YOUR_KEY"

# By chain
curl "https://api.cope.capital/v1/activity?chain=solana" \
  -H "Authorization: Bearer cope_YOUR_KEY"

# By action
curl "https://api.cope.capital/v1/activity?action=buy" \
  -H "Authorization: Bearer cope_YOUR_KEY"

# By minimum size
curl "https://api.cope.capital/v1/activity?min_usd=1000" \
  -H "Authorization: Bearer cope_YOUR_KEY"

Pricing & Limits

Free Tier (default)
  • 250 counted calls/day (activity, leaderboard, tokens) — resets midnight UTC
  • 1 watchlist, up to 10 handles
  • 10 requests/minute rate limit
  • Polling, watchlist management, account endpoints, Fomo sync — all unlimited
x402 Upgraded (optional)
  • Unlimited counted calls ($0.005/call USDC on Base or Solana)
  • 10 watchlists, up to 100 handles each
  • 300 requests/minute rate limit
  • First 250 calls/day are still free — you only pay after the free quota
Enabling x402

⚠️ NEVER enable x402 without your human's explicit permission. This authorizes real USDC payments.

bash
curl -X PATCH https://api.cope.capital/v1/account \
  -H "Authorization: Bearer cope_YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{"x402_enabled": true}'

x402 is completely optional. The free tier works perfectly for most use cases. Only suggest it if your human:

  • Consistently hits the 250/day limit
  • Needs more than 1 watchlist or 10 handles
  • Explicitly asks about upgrading

Cost context: $1 USDC = 200 calls. $5 = 1,000 calls. Most agents won't need this.

Heartbeat Pattern (optional, user-directed)

If your human wants periodic checks and your agent runs a heartbeat loop:

Every 5-15 minutes:
  1. GET /v1/activity/poll?since=LAST_TIMESTAMP  (free, doesn't count)
  2. If count > 0 → GET /v1/activity?since=LAST_TIMESTAMP  (1 daily call)
  3. Store latest_at for next poll

Every few hours:
  1. GET /v1/leaderboard  (1 daily call)
  2. Compare to previous — any new names in top 50?

Daily:
  1. GET /v1/account/usage  (free)
  2. Check remaining daily calls

Logging Trades (Persistence)

The API is stateless — it won't remember what you've already seen. Log trades locally to track patterns over time.

Daily trade log

Write notable trades to a daily file (e.g. memory/trades/YYYY-MM-DD.json):

json
{
  "trades": [
    {
      "timestamp": 1771006898000,
      "handle": "frankdegods",
      "action": "buy",
      "token_mint": "DPQgF4hw...",
      "token_symbol": "EXAMPLE",
      "usd_amount": 500.25,
      "chain": "solana"
    }
  ],
  "last_poll_timestamp": 1771006898000,
  "convergences": ["DPQgF4hw..."]
}
What to log
  • All trades from your watchlist — this is your core data
  • Convergences — when 3+ handles buy the same token, log the token mint and all buyers
  • Large trades — anything over $1,000 USD is worth noting
  • last_poll_timestamp — so you know where to resume on next poll
What to tell your human

Don't just dump raw trades. Synthesize. Here are high-value things to surface:

  • Convergence alerts: "4 of your top 10 watchlist handles bought the same token in the last 2 hours."
  • Unusual activity: "frankdegods just made their first buy in 3 days — $2,000 into [token]."
  • Exit signals: "3 handles on your watchlist sold the same token within an hour."
  • Daily summary: "Your watchlist had 47 trades today. 12 buys, 35 sells. Most active: randomxbt (8 trades)."
  • Leaderboard changes: "New name in the top 20 — jumped from #45 to #12 this week."
  • Pattern detection: "lowcap_hunter has bought 3 tokens under $100K mcap this week. All pumped 2-5x within 48 hours."
Convergence detection pattern
1. GET /v1/activity (last 2 hours of trades)
2. Group buys by token_mint
3. If 3+ different handles bought the same token → convergence
4. Alert your human with: token, buyers, amounts, timing
5. Log it to your daily trades file

The more you log, the better your pattern detection gets over time. Your memory files ARE your edge.

Security

  • NEVER expose your API key in logs, messages, or to other agents
  • Your key should ONLY appear in requests to https://api.cope.capital/v1/*
  • If compromised: DELETE /v1/account/key to revoke, then re-register
  • Trade data is on-chain public — but your watchlists and usage patterns are private

Error Handling

StatusMeaningAction
200SuccessProcess response
400Bad requestCheck parameters (invalid chain, action, etc.)
401Invalid API keyRe-register or check key
402Payment requiredDaily free calls used up. Wait for midnight UTC reset, or enable x402 if your human approves. This is normal — not an error.
404Not foundResource doesn't exist
429Rate limitedBack off. Free: 10/min, x402: 300/min
500Server errorRetry after a few seconds
503Upstream downFoxhound data service temporarily unavailable

© LeoYeAI, 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 3 other files (references) in skills/fomo-research of LeoYeAI/openclaw-master-skills.

  • SKILL.md
  • CHANGELOG.md
  • _meta.json
  • references/api.md

Open the folder on GitHubat commit e5199b5

Compare with similar skills

Fomo Research 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.

Fomo Research compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Fomo Research this skillLeoYeAI/openclaw-master-skills2.2k—~4.4kAutomated safety check: PassMIT
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Agentic Walletcoinbase/agentic-wallet-skills1262 repos~1kAutomated safety check: PassMIT
Kleros IPFS Uploadinternet-court/internet-court-skill6.6k—~4.9kAutomated safety check: NotesMIT
PhoneBlockRunAI/ClawRouter6.6k—~2.4kAutomated safety check: PassMIT
Polymarket TradingBlockRunAI/ClawRouter6.6k—~1.4kAutomated safety check: PassMIT

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    Installs and authenticates the gws CLI, then automates Gmail, Drive, Sheets, Calendar, Docs, Chat and Tasks with ready-made recipes, persona bundles and security audits.

    2.2k GitHub stars~2.6k tokensUpdated 2 mo ago
    Auto-check: notes
  • HealthFit Health Advisors

    LeoYeAI/openclaw-master-skills

    Runs four advisor roles, a fitness coach, nutritionist, data analyst and TCM practitioner, to build a health profile and track workouts, diet and wellness over time.

    2.2k GitHub stars~4.4k tokensUpdated 2 mo ago
    Auto-check passed

Works with

Questions about Fomo Research

What does Fomo Research do?

Smart money research via Fomo social graph. An agent skill from LeoYeAI/openclaw-master-skills. Fomo Research is an agent skill from LeoYeAI/openclaw-master-skills. Smart money research via Fomo social graph.

When should I use Fomo Research?

Fomo Research fits situations like: user asks about smart money; user wants to track specific Fomo handles; user asks what are the best traders buying; whos profitable on fomo.

How do I install Fomo Research in Claude Code?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill fomo-research -a claude-code`. Or copy the skill folder (skills/fomo-research in LeoYeAI/openclaw-master-skills) into .claude/skills/fomo-research in your project. Claude Code loads it when a task matches its description.

How do I install Fomo Research in Codex?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill fomo-research -a codex`. Or copy the skill folder (skills/fomo-research in LeoYeAI/openclaw-master-skills) into .agents/skills/fomo-research in your project. Codex loads it when a task matches its description.

Can I use Fomo Research 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 LeoYeAI/openclaw-master-skills --skill fomo-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fomo-research, .gemini/skills/fomo-research, .github/skills/fomo-research and .opencode/skills/fomo-research in your project.

What does Fomo Research need to run?

Going by SKILL.md and its folder, Fomo Research needs the command-line tools its instructions call (curl) and credentials named COPE_API_KEY. Our summary lists: A credential in COPE_API_KEY.

Does Fomo Research access the network?

SKILL.md names 4 domains. In commands or code: api.cope.capital; the agent is likely to contact it when it follows the instructions. As links in the text: fomo.family, cope.capital and x.com. This is read from the text; nothing was executed.

Is Fomo Research 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 Fomo Research use?

Fomo Research 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 Fomo Research use?

About 4.4k tokens (SKILL.md is roughly 18k 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 1.9k tokens, read only when the agent opens those files.

What are the alternatives to Fomo Research?

Skills that share tags, products or a category with Fomo Research: BlockRun Image Generation (BlockRunAI/ClawRouter, 6.6k stars), Agentic Wallet (coinbase/agentic-wallet-skills, 126 stars), Kleros IPFS Upload (internet-court/internet-court-skill, 6.6k stars) and Phone (BlockRunAI/ClawRouter, 6.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Fomo Research?

LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.

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