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 ChainGPT-org/chaingpt-claude-skill --skill researchgit clone --depth 1 https://github.com/ChainGPT-org/chaingpt-claude-skillWrote 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/chaingpt-org/chaingpt-claude-skill/research)<a href="https://agentmods.dev/skills/chaingpt-org/chaingpt-claude-skill/research"><img src="https://agentmods.dev/badge/skills/chaingpt-org/chaingpt-claude-skill/research/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/chaingpt-org/chaingpt-claude-skill/research"><img src="https://agentmods.dev/badge/skills/chaingpt-org/chaingpt-claude-skill/research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00151 | $0.01204 |
| Opus 5.5 | $0.00060 | $0.00482 |
| Sonnet 5.5 | $0.00030 | $0.00241 |
| Haiku 4.5 | $0.00015 | $0.00120 |
Grade A, and why
research 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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ChainGPT Research Skill
When a user wants to research a token, wallet, or contract — your job is to orchestrate the right sequence of MCP tools from this plugin into a coherent answer. Do not call the SDKs raw; the MCP tools are pre-tuned for credit efficiency and AI enrichment.
Core principle: one-shot if you can
If the user asks "research X" without further qualifiers, prefer the single AI-enriched call:
chaingpt_intel_token query="X"
It composes market + risk + ChainGPT news + AI signals in one response and costs ~1 ChainGPT credit (the news fetch). This is what 80% of "research this token" prompts should do.
For a wallet:
chaingpt_intel_wallet address="0x…"
Composes portfolio (Moralis) + per-holding risk-rating (GoPlus). Requires MORALIS_API_KEY for the portfolio scan — without it, the tool returns a setup hint pointing to https://moralis.io (free 25k req/month tier). The GoPlus risk-rating layer is always free.
When to fan out to specific tools
Use the granular tools when the user wants depth on one axis the intel call summarized.
| User intent | Tool | Notes |
|---|---|---|
| Live price + volume + liquidity | chaingpt_research_token |
DexScreener; no key |
| Which pools / pairs exist | chaingpt_research_pairs |
sort by liquidity |
| Trending right now | chaingpt_research_trending |
boosted tokens on DexScreener |
| Wallet portfolio (multi-chain) | chaingpt_wallet_balances |
needs MORALIS_API_KEY for ERC-20 scan |
| Wallet DeFi positions | chaingpt_wallet_positions |
Aave / Uniswap / Lido / etc. |
| Wallet realized P&L | chaingpt_wallet_pnl |
tax-season report style |
| Token safety flags | chaingpt_risk_token |
GoPlus — honeypot/mintable/proxy/tax |
| Buy+sell simulation | chaingpt_risk_honeypot |
Honeypot.is — real simulation |
| Is this address a scammer | chaingpt_risk_address |
sanctions / phishing / mixer |
| Source code & ABI of a contract | chaingpt_risk_contract_source |
Etherscan v2 verified source |
| Decode a specific transaction | chaingpt_onchain_tx |
status / gas / method |
| Address recent activity | chaingpt_onchain_address |
last 25 txs |
| Current gas prices | chaingpt_onchain_gas |
safe / standard / fast |
| ChainGPT-curated news | chaingpt_news_fetch |
filter by token/category |
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 · 82 lines · 151 tokens per session scan A 567ce430da87
research is a skill published in the GitHub repository ChainGPT-org/chaingpt-claude-skill (7 stars, last pushed 1mo ago), licensed MIT. It adds 151 tokens to every session and 1,204 once invoked, about $0.0006 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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