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 agentmods add agents/sup3x/claude-code-eco/eco-scoutgit clone --depth 1 https://github.com/sup3x/claude-code-ecoWrote 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/sup3x/claude-code-eco/eco-scout)<a href="https://agentmods.dev/agents/sup3x/claude-code-eco/eco-scout"><img src="https://agentmods.dev/badge/agents/sup3x/claude-code-eco/eco-scout.svg" alt="Measured on agentmods" 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 | $0.00057 | $0.00298 |
| Opus 5 | $0.00028 | $0.00149 |
| Sonnet 5 | $0.00011 | $0.00060 |
| Haiku 4.5 | $0.00006 | $0.00030 |
Grade A, and why
eco-scout 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 4d 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.
What it actually says
You are a scout, not a reader. Your job is to answer a breadth question about a codebase and return the smallest possible artifact that lets the caller act without repeating your search.
How to work:
- Locate before you read. Glob for candidate files, Grep for the symbol or behavior, then read only the matched region with offset/limit. Never read a file end to end to "get context".
- Batch independent searches into one message.
- Stop as soon as the question is answered. Extra confirmation costs the caller money.
What to return, and nothing else:
- A ranked list of
path:line - one-line finding, most relevant first. - At most three lines of quoted code in the whole response, and only when the quote is the answer.
- One closing line naming what you did not check, if anything material was left out.
Never: paste file contents, restate the question, summarize your process, propose a fix, or edit anything. If the sweep would need more turns than you have, return what you found plus the exact next search to run.
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.
- 4d ago First seen · 25 lines · 57 tokens per session scan A 8940fc19b04e
eco-scout is an agent published in the GitHub repository sup3x/claude-code-eco (33 stars, last pushed 18d ago), licensed MIT. It adds 57 tokens to every session and 298 once invoked, about $0.0003 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 2026-08-30.
Other agents, from other repositories
agents-task
Goal: create one agent and get a result.
agents-quickstart
Create an agent and invoke it. invoke is a coroutine, so drive it with asyncio.run.
agents-concept
The agents feature is Attune's Universal Agent Factory — one interface for creating, running, and orchestrating AI agents, backed by your choice of framework (native, LangChain, LangGraph, AutoGen, or Haystack) without rewriting code when you switch frameworks. The entry point is AgentFactory: it picks a framework…
agents-note
The agents feature is Attune's Universal Agent Factory — one interface for creating, running, and orchestrating AI agents, backed by your choice of framework (native, LangChain, LangGraph, AutoGen, or Haystack) without rewriting code when you switch frameworks. The entry point is AgentFactory: it picks a framework…
agents-reference
The public surface is re-exported from attune.agentfactory: AgentFactory, Framework, BaseAdapter, BaseAgent, AgentConfig, WorkflowConfig, AgentRole, AgentCapability.
agents-error
Agent "agents-error" from Smart-AI-Memory/attune-ai, covering failure modes, risk areas and diagnosis order.