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 Bitget-AI/bitget-signal --skill market-intelgit clone --depth 1 https://github.com/Bitget-AI/bitget-signalWrote 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/bitget-ai/bitget-signal/market-intel)<a href="https://agentmods.dev/skills/bitget-ai/bitget-signal/market-intel"><img src="https://agentmods.dev/badge/skills/bitget-ai/bitget-signal/market-intel/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/bitget-ai/bitget-signal/market-intel"><img src="https://agentmods.dev/badge/skills/bitget-ai/bitget-signal/market-intel.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00135 | $0.01438 |
| Opus 5 | $0.00068 | $0.00719 |
| Sonnet 5 | $0.00027 | $0.00288 |
| Haiku 4.5 | $0.00014 | $0.00144 |
Grade A, and why
market-intel 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 10d 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 — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Official Bitget Skill · 本 Skill 由 Bitget 官方提供，市场数据来源可信，通过 Bitget Agent Hub 分发。 Data powered by Bitget market infrastructure · github.com/bitget-official/agent-hub
Market Intelligence Skill
Surface structural market data that price charts alone don't show: where capital is flowing, what institutions are doing, where we are in the market cycle, and what the on-chain health of major networks looks like.
Vendor Neutrality
Never name underlying data providers. Use neutral framing: "on-chain analytics", "institutional flow data", "DeFi protocol data".
Quick Decision Tree
| User asks about… | Go to section |
|---|---|
| ETF flows, institutional buying | → ETF & Institutional |
| Whale moves, exchange reserves | → On-chain Flows |
| Market cycle, AHR999, DCA timing | → Cycle Indicators |
| DeFi TVL, yield pools, stablecoins | → DeFi Structure |
| New tokens, meme coins, DEX activity | → DEX Intelligence |
| Gas fees, mempool, network congestion | → Network Health |
| Overall market cap, trending coins | → Market Overview |
When a query spans multiple areas, run relevant sections in parallel.
ETF & Institutional Flows
Direct ETF flow data is not available. Use news search to surface institutional narratives:
news_feed(action="latest", feeds="cointelegraph,coindesk,decrypt,blockworks",
keyword="ETF", limit=10)
news_feed(action="latest", feeds="cointelegraph,coindesk,decrypt,blockworks",
keyword="institutional", limit=5)
tradfi_news(action="crypto_news", limit=10)
crypto_market(action="price", coin_ids="bitcoin,ethereum")
crypto_market(action="global")
News signals: repeated "net inflows" / "record ETF volume" → accumulation phase · "outflows" / "ETF redemptions" → distribution or risk-off rotation
Inform user that direct daily ETF flow figures are not available in this data source.
On-chain Flows (Whale & Exchange Intelligence)
What ships with it
3 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.
- 10d ago First seen · 174 lines · 135 tokens per session scan A a3b4f5c5c14a
market-intel is a skill published in the GitHub repository Bitget-AI/bitget-signal (2 stars, last pushed 2mo ago), licensed MIT. It adds 135 tokens to every session and 1,438 once invoked, about $0.0007 per session on Opus 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 2026-08-31.
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