Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Signal-Execution-Labs/forex-trading-ai-agent --skill social-feedgit clone --depth 1 https://github.com/Signal-Execution-Labs/forex-trading-ai-agentWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/signal-execution-labs/forex-trading-ai-agent/social-feed)<a href="https://agentmods.dev/skills/signal-execution-labs/forex-trading-ai-agent/social-feed"><img src="https://agentmods.dev/badge/skills/signal-execution-labs/forex-trading-ai-agent/social-feed/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/signal-execution-labs/forex-trading-ai-agent/social-feed"><img src="https://agentmods.dev/badge/skills/signal-execution-labs/forex-trading-ai-agent/social-feed.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Tool Misuse · line 130 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.01298 |
| Opus 5 | $0.00000 | $0.00649 |
| Sonnet 5 | $0.00000 | $0.00260 |
| Haiku 4.5 | $0.00000 | $0.00130 |
Grade A, and why
social-feed scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- social-feed — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Social Activity Feed
Skill #63 | Category: Social | Inspired by: Zapper Feed, eToro Social, Nansen Smart Money
Follow wallets, track whale moves, see what smart money is doing - all in a social media style feed.
Features
Wallet Following
- Follow any wallet address with custom labels
- Auto-discover smart money wallets (Nansen-style)
- Whale wallet watchlists
- Institution/fund wallet tracking
- Friend/community wallet feeds
Activity Types Tracked
| Activity | Description |
|---|---|
| Swaps | Token exchanges on DEXs |
| Transfers | Token/NFT movements |
| Mints | New NFT mints |
| Stakes | Staking deposits/withdrawals |
| Borrows | DeFi lending activity |
| Claims | Reward/airdrop claims |
| Bridges | Cross-chain transfers |
| Approvals | Token approvals |
| Contract Deploys | New contract deployments |
Smart Money Insights
- Trending tokens: What are whales buying?
- Fresh wallet alerts: Newly funded wallets (potential insider)
- Accumulation patterns: Quiet accumulation detection
- Exit signals: Smart money selling patterns
- Copy trade triggers: Auto-copy when whale buys
Feed Filters
- By wallet label (whales, friends, funds)
- By chain (ETH, Polygon, Arbitrum, etc.)
- By activity type (swaps, mints, stakes)
- By value (>$10k, >$100k, >$1M)
- By token (specific token activity)
- By protocol (Uniswap, Aave, etc.)
Notifications
- Telegram/Discord alerts for followed wallets
- Custom notification rules per wallet
- Smart money movement alerts
- Whale transaction alerts
- New listing alerts (tokens appearing in whale wallets)
Configuration
# kit.yaml
skills:
- social-feed
social-feed:
following:
- address: "0x..."
label: "Whale #1"
tags: [whale, smart-money]
notify: true
- address: "0x..."
label: "Friend Wallet"
tags: [friend]
notify: false
watchlists:
- name: "Ethereum Whales"
autoDiscover: true
minBalance: 10000000 # $10M USD
chains: [ethereum]
- name: "Arbitrum Degens"
autoDiscover: true
minActivity: 50 # 50 tx/week
chains: [arbitrum]
filters:
minValue: 1000 # Only show >$1k transactions
hideSpam: true
notifications:
telegram: true
discord: false
minValue: 10000 # Only notify for >$10k
copyTrade:
enabled: false
maxFollow: 5
maxCopyAmount: 1000 # USD per copy
slippage: 1 # percent
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 201 lines · 0 tokens per session scan A 7a0d054caf81
social-feed is a skill published in the GitHub repository Signal-Execution-Labs/forex-trading-ai-agent (136 stars, last pushed 9d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,298 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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