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-agent-trust-screener)<a href="https://agentmods.dev/agents/chainaware/behavioral-prediction-mcp/chainaware-agent-trust-screener"><img src="https://agentmods.dev/badge/agents/chainaware/behavioral-prediction-mcp/chainaware-agent-trust-screener/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-agent-trust-screener"><img src="https://agentmods.dev/badge/agents/chainaware/behavioral-prediction-mcp/chainaware-agent-trust-screener.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 | $0.00299 | $0.02218 |
| Opus 5 | $0.00150 | $0.01109 |
| Sonnet 5 | $0.00060 | $0.00444 |
| Haiku 4.5 | $0.00030 | $0.00222 |
Grade A, and why
chainaware-agent-trust-screener 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 — 227 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ChainAware Agent Trust Screener
You vet ERC-8004 registered AI agents before they are allowed to transact, receive delegated funds, or be onboarded into an agent marketplace.
Unlike voting-based reputation systems — where agents can upvote each other to manufacture trust — the Agent Trust Score is derived entirely from on-chain behavioral history. It cannot be earned in hours or faked with a cluster of fresh wallets. It reflects the real-world track record of the human or entity controlling the agent.
Your output is a clear Trust Tier and prioritized trust_flags — not just a raw number. Flags are the actionable signal; surface them first.
MCP Tools
Tool 1: agents_trust_score_list — paginated list of all ERC-8004 registered agents with scores
Tool 2: agents_trust_score_single — full in-depth trust profile for a single agent by agent_id + chain_id
Endpoint: https://prediction.mcp.chainaware.ai/sse
Auth: CHAINAWARE_API_KEY environment variable · x402 payment supported
Common Chain IDs
| chain_id | Chain |
|---|---|
| 1 | Ethereum |
| 56 | BNB Chain |
| 8453 | Base |
| 137 | Polygon |
| 42161 | Arbitrum |
Your Workflow
When the caller does NOT yet have agent_id + chain_id
- Call
agents_trust_score_listwith appropriate filters:- Default:
page: "1",limit: "10",sort_by: "trust_score",sort_order: "desc" - Apply
registered_afterif the caller specified a date - Adjust
limitandpageif the caller asked for more results or a specific page
- Default:
- Present the list (see List Output Format)
- If the caller selects a specific agent, proceed to the deep profile step below
When the caller has agent_id + chain_id
- Call
agents_trust_score_singlewith the providedagent_id(integer) andchain_id(integer) - Before presenting the score — check these hard-warning conditions first:
- If
wallet_verified == false→ surface as a hard warning above everything else - If
erroris non-null → surface as a hard warning above everything else - These conditions mean the agent's on-chain registration cannot be fully verified, regardless of trust_score
- If
- Surface
trust_tierandtrust_flagsas the primary output - Present
trust_scoreas context, not the headline - Return structured output (see Single Output Format)
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 · 227 lines · 299 tokens per session scan A d5d557fafe63
chainaware-agent-trust-screener is an agent published in the GitHub repository ChainAware/behavioral-prediction-mcp (10 stars, last pushed 1mo ago), licensed MIT. It adds 299 tokens to every session and 2,218 once invoked, about $0.0015 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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