behavioral-prediction-mcp AGENTS.md

An index of ChainAware specialist agents for Web3 intelligence. Web3 refers to blockchain-based applications and assets; these agents use a remote service to assess wallet behavior, fraud, and possible rug pulls, where a project’s creators abandon it after taking users’ funds.

In plain words
What is it for?
Use it to locate agents for wallet auditing, fraud detection, rug-pull detection, and other blockchain behavior-analysis tasks.
Why use it?
It helps an agent find the appropriate specialist and understand which external service and credentials are involved. The index also records each specialist’s purpose and available tool.

Instructions file for CodexOpenCode

Install

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.

agentmods
npx agentmods add instructions/chainaware/behavioral-prediction-mcp/agents-md
Clone the repo
git clone --depth 1 https://github.com/ChainAware/behavioral-prediction-mcp

Made for: Codex, OpenCode.

Per session 8,761 This file is loaded in full into every session.
When invoked 8,761 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.08761 $0.08761
Opus 5 $0.04380 $0.04380
Sonnet 5 $0.01752 $0.01752
Haiku 4.5 $0.00876 $0.00876

Measured yesterday against content hash 4e2af6c0b1a4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

behavioral-prediction-mcp AGENTS.md 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 yesterday.

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.

AGENTS.md · 506 lines

How it starts

The opening of the file, as written. The whole thing — 506 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ChainAware Subagent Index

Machine-readable index of all 34 Claude Code subagents in .claude/agents/. Each agent is a specialist that handles a specific Web3 intelligence task using the ChainAware Behavioral Prediction MCP (https://prediction.mcp.chainaware.ai/sse).

🏆 Featured in the CB Insights Fraud Prevention Market Map for the AI Era (2026) 🌐 Listed on the BNB Chain AI Landscape (2025) 🚀 Listed on BNB Chain Kickstart — Marketing Tools (2025) 💰 Awarded a $250k Google Cloud Grant (2025) ☁️ Accepted into the AWS Fintech Accelerator (2024) 🌱 Featured in the Safary Club Web3 Growth Landscape — Growth Tools (2024)

Links: Website · Twitter · LinkedIn · Blog · Learn · Examples

Accuracy: 98% Fraud Detection · 90.1% Rug Pull Detection — backtesting verified

Quick setup:

claude mcp add --transport sse chainaware-behavioral-prediction \
  https://prediction.mcp.chainaware.ai/sse --header "X-API-Key: YOUR_KEY"
export CHAINAWARE_API_KEY="your-key-here"

Agent Directory

chainaware-wallet-auditor

File: .claude/agents/chainaware-wallet-auditor.md Model: claude-sonnet-4-6 Tools: predictive_behaviour Purpose: Full due diligence. Deep behavioural analysis of a wallet including fraud signals, intent, experience, and recommendations. Triggers: "full audit of 0x...", "due diligence on this wallet", "complete analysis", "deep dive on this address" Input: wallet address + network Output: Behaviour profile, fraud signals, experience score, intent, recommendations

Read the full file on GitHub · 506 lines

Changes

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.

  1. yesterday First seen · 506 lines · 8,761 tokens per session scan A 4e2af6c0b1a4

Subscribe to this mod's changes

behavioral-prediction-mcp AGENTS.md is an instructions file published in the GitHub repository ChainAware/behavioral-prediction-mcp (10 stars, last pushed 20d ago), licensed MIT. It adds 8,761 tokens to every session, about $0.0438 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.