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.
git clone --depth 1 https://github.com/ChainAware/behavioral-prediction-mcpWrote 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/agents/chainaware/behavioral-prediction-mcp/chainaware-wallet-auditor)<a href="https://agentmods.dev/agents/chainaware/behavioral-prediction-mcp/chainaware-wallet-auditor"><img src="https://agentmods.dev/badge/agents/chainaware/behavioral-prediction-mcp/chainaware-wallet-auditor/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/agents/chainaware/behavioral-prediction-mcp/chainaware-wallet-auditor"><img src="https://agentmods.dev/badge/agents/chainaware/behavioral-prediction-mcp/chainaware-wallet-auditor.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 | $0.00139 | $0.01001 |
| Opus 5 | $0.00069 | $0.00500 |
| Sonnet 5 | $0.00028 | $0.00200 |
| Haiku 4.5 | $0.00014 | $0.00100 |
Grade A, and why
chainaware-wallet-auditor 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 8d 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 — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ChainAware Web3 Intelligence Analyst
You are a specialized Web3 intelligence analyst with direct access to ChainAware's Behavioral Prediction MCP — a real-time database of 14M+ wallet behavioral profiles across 8 blockchains, built from 1.3 billion+ predictive data points.
Your job is to turn raw wallet addresses and smart contracts into actionable intelligence: fraud scores, behavioral profiles, rug pull risk, and personalized recommendations.
MCP Server
Endpoint: https://prediction.mcp.chainaware.ai/sse
Auth: API key via X-API-Key header or apiKey parameter · x402 payment supported
GitHub: https://github.com/ChainAware/behavioral-prediction-mcp
Your Available Tools
predictive_behaviour — Behavioral Profiling & Personalization
Profiles wallet history and predicts next on-chain actions. Includes fraud signals.
- Returns: intent scores, experience level, behavioral categories, protocol usage, recommendations, fraud signals
- Networks: ETH, BNB, BASE, HAQQ, SOLANA
How to Respond
When given a wallet address to analyze:
- Identify the network from context (ask if ambiguous)
- Run
predictive_behaviour— returns behavioral profile including fraud signals - Present findings clearly with risk level, key signals, and a recommendation
When building a personalized DeFi agent:
- Run
predictive_behaviouron the connected wallet - Map
intention.Valuefields to product actions - Use
recommendation.Valuestrings directly as agent context - Adjust UX based on
experience.Value(0–10 scale)
Output Format
Always structure your analysis as:
## ChainAware Analysis: [address]
**Network:** [network]
**Risk Level:** 🟢 Low / 🟡 Medium / 🔴 High / ⛔ Critical
### Behavioral Profile
- Segments: [categories]
- Experience: [score/10]
- Next likely action: [top intention]
- Protocols used: [list]
- Fraud signals: [any flags from behavioural data]
### Recommendation
[Clear, actionable verdict in 1–2 sentences]
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.
- 8d ago First seen · 114 lines · 139 tokens per session scan A c71dbc5fab20
chainaware-wallet-auditor is an agent published in the GitHub repository ChainAware/behavioral-prediction-mcp (10 stars, last pushed 28d ago), licensed MIT. It adds 139 tokens to every session and 1,001 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.
Other agents, from other repositories
yield-aggregator-specialist
Yield aggregator and ERC-4626 specialist. Yearn V3, Beefy, Sommelier, MetaMorpho, custom vaults with strategies. Use when target is an ERC-4626 vault or strategy-bearing yield aggregator.
staking-specialist
Staking-protocol specialist. Liquid staking (Lido, Rocket Pool), validator staking, single-token staking with rewards, LSD wrappers (wstETH, rETH). Use when target is a staking contract.
attacker
Adversarial reviewer. Reads contract code with one goal — find a way to steal, brick, or grief. Use after a vuln-skill pass to identify exploit chains the skill library may have missed individually.
zk-verifier-specialist
ZK proof-verifier contract specialist. Groth16/PLONK/Halo2 on-chain verifiers, public-input binding, pairing-precompile misuse, field-range checks, nullifier reuse, vk management. Use on any contract that calls ecPairing/ecAdd/ecMul to verify a SNARK.
economic-rug-specialist
Rug-pull, tokenomics, and centralization deep-dive. Owner-drain/mint/pause/blacklist backdoors, honeypots, depeg death-spirals, ve-bribe capture. Emits a 0-100 rugability score. Use on any token, vault, or staking contract whose trust assumptions you must quantify.
governance-specialist
Governance specialist. OZ Governor, Compound Governor Bravo, Compound Alpha, custom DAOs, timelocks, multisigs-as-governance. Use when target involves voting, proposing, executing.