Borrowing it
Nothing to install: this file belongs to coilyco-flight-deck/eco-mcp-app. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/coilyco-flight-deck/eco-mcp-app/main/AGENTS.mdgit clone --depth 1 https://github.com/coilyco-flight-deck/eco-mcp-appWrote 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/instructions/coilyco-flight-deck/eco-mcp-app/agents-md)<a href="https://agentmods.dev/instructions/coilyco-flight-deck/eco-mcp-app/agents-md"><img src="https://agentmods.dev/badge/instructions/coilyco-flight-deck/eco-mcp-app/agents-md/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/instructions/coilyco-flight-deck/eco-mcp-app/agents-md"><img src="https://agentmods.dev/badge/instructions/coilyco-flight-deck/eco-mcp-app/agents-md.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 | $0.01135 | $0.01135 |
| Opus 5 | $0.00567 | $0.00567 |
| Sonnet 5 | $0.00227 | $0.00227 |
| Haiku 4.5 | $0.00113 | $0.00113 |
Grade A, and why
eco-mcp-app 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 9d 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 — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent instructions
Workspace conventions load globally via ~/.claude/CLAUDE.md -> agentic-os-kai/AGENTS.md. This file covers only what is specific to this repo.
Project layout
src/eco_mcp_app/server.py- transport-agnostic MCP server. One tool:get_eco_server_status(host, host:port, or full URL).src/eco_mcp_app/__main__.py- stdio entry for Claude Desktop.src/eco_mcp_app/http_app.py- Starlette ASGI wrapping the MCP server viaStreamableHTTPSessionManager(stateless). Routes:/,/healthz,/mcp/.src/eco_mcp_app/ui/eco.html- iframe for MCP Apps hosts; hand-rolled handshake, no bundler. Eco Steam banner inlined as data URI (Claude Desktop CSP blocks external origins,claude-ai-mcp#40).scripts/install-desktop-config.py- registers server in Claude Desktop's config.static/harness.html- browser MCP Apps host simulator. Wired into.claude/launch.jsonaseco-harnesspreview.Makefile-smoke,http,harness,ruff,fmt,precommit,install-desktop,test, deploy targets. Coily wraps each.Dockerfile/coily.yaml/deploy/main.yml/.github/workflows/build-and-publish.yml- deploy rig, cloned fromcoilysiren/backend.investigation/- chronological post-mortem of the debugging session that produced this repo. Read before questioning weird-looking decisions.
Dev loop
uv sync --group dev- runtime + dev deps.pre-commit install(once) - ruff + mypy on every commit.ward exec smoke- stdio test: initialize → list tools → read resource → call tool.ward exec http- HTTP transport locally. Endpoint:POST /mcp/.ward exec harness- dev harness athttp://localhost:8765/static/harness.html.ward exec ruff/ward exec fmt- lint/format.ward exec build-docker/ward exec deploy- build/push + k3s rollout.
After each commit to main, run tests. Pass = git push immediately. Fail = fix first.
Sibling Eco repos
Read directly rather than asking.
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.
- 9d ago First seen · 68 lines · 1,135 tokens per session scan A c3cb7b347300
eco-mcp-app AGENTS.md is an instructions file published in the GitHub repository coilyco-flight-deck/eco-mcp-app (1 stars, last pushed 2mo ago), licensed MIT. It adds 1,135 tokens to every session, about $0.0057 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 instructions, from other repositories
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AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.