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 agiprolabs/claude-trading-skills --skill coingecko-apigit clone --depth 1 https://github.com/agiprolabs/claude-trading-skillsWrote 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/agiprolabs/claude-trading-skills/coingecko-api)<a href="https://agentmods.dev/skills/agiprolabs/claude-trading-skills/coingecko-api"><img src="https://agentmods.dev/badge/skills/agiprolabs/claude-trading-skills/coingecko-api/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/agiprolabs/claude-trading-skills/coingecko-api"><img src="https://agentmods.dev/badge/skills/agiprolabs/claude-trading-skills/coingecko-api.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
- Socket pass
- Snyk warn
SkillSpector: 8 findings, up to medium
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 →
- medium Data Exfiltration · line 46 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 61 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 78 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 94 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 108 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 121 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 146 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 184 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00052 | $0.01792 |
| Opus 5.5 | $0.00021 | $0.00717 |
| Sonnet 5.5 | $0.00010 | $0.00358 |
| Haiku 4.5 | $0.00005 | $0.00179 |
Grade A, and why
coingecko-api 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CoinGecko API Skill
Query the CoinGecko API for comprehensive crypto market data — prices, historical charts, exchange volumes, trending tokens, global stats, and category breakdowns. The free tier requires no API key and supports 30 calls/min.
When to Use This Skill
- Macro analysis: Global market cap, BTC dominance, total volume trends
- Historical data: Daily/hourly OHLCV going back years (not minutes-level)
- Cross-exchange comparisons: Exchange volume rankings and trust scores
- Trending/discovery: What tokens are trending on CoinGecko in the last 24h
- Category analysis: Compare DeFi vs L1 vs meme coin market caps
- Token research: Full metadata including links, description, community stats
Use Birdeye or DexScreener instead for real-time Solana DEX data, new token launches, or sub-daily granularity on Solana tokens.
Quick Start
Get Current Prices
import httpx
# No API key needed for free tier
resp = httpx.get(
"https://api.coingecko.com/api/v3/simple/price",
params={"ids": "solana,bitcoin,ethereum", "vs_currencies": "usd",
"include_24hr_change": "true"},
)
data = resp.json()
for coin, info in data.items():
print(f"{coin}: ${info['usd']:.2f} ({info['usd_24h_change']:+.1f}%)")
Get Top Coins by Market Cap
import httpx
resp = httpx.get(
"https://api.coingecko.com/api/v3/coins/markets",
params={"vs_currency": "usd", "order": "market_cap_desc",
"per_page": 10, "page": 1, "sparkline": "false"},
)
for coin in resp.json():
print(f"{coin['symbol'].upper():>6} ${coin['current_price']:>10,.2f} "
f"MCap: ${coin['market_cap']/1e9:.1f}B "
f"24h: {coin['price_change_percentage_24h']:+.1f}%")
Get Historical Price Data
import httpx
import pandas as pd
resp = httpx.get(
"https://api.coingecko.com/api/v3/coins/solana/market_chart",
params={"vs_currency": "usd", "days": "90", "interval": "daily"},
)
data = resp.json()
df = pd.DataFrame(data["prices"], columns=["timestamp", "price"])
df["date"] = pd.to_datetime(df["timestamp"], unit="ms")
df = df.set_index("date").drop(columns=["timestamp"])
print(df.describe())
What ships with it
5 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.
- 1mo ago First seen · 212 lines · 52 tokens per session scan A 3f7a78243e9d
coingecko-api is a skill published in the GitHub repository agiprolabs/claude-trading-skills (443 stars, last pushed 1mo ago), licensed MIT. It adds 52 tokens to every session and 1,792 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.
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