Borrowing it
Nothing to install: this file belongs to trentisiete/endy. 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/trentisiete/endy/main/AGENTS.mdgit clone --depth 1 https://github.com/trentisiete/endyWrote 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/trentisiete/endy/agents-md)<a href="https://agentmods.dev/instructions/trentisiete/endy/agents-md"><img src="https://agentmods.dev/badge/instructions/trentisiete/endy/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/trentisiete/endy/agents-md"><img src="https://agentmods.dev/badge/instructions/trentisiete/endy/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 | $0.03029 | $0.03029 |
| Opus 5.5 | $0.01212 | $0.01212 |
| Sonnet 5.5 | $0.00606 | $0.00606 |
| Haiku 4.5 | $0.00303 | $0.00303 |
Grade A, and why
endy 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 1mo 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 — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
endy — multi-agent coding stack
You're running inside endy, a hybrid bash + skill stack that wires several coding-agent CLIs together. This file is loaded by every supported agent (Codex, OpenCode, CommandCode/cmd, and — when re-enabled — Claude Code) via their global AGENTS.md mechanism. Hermes loads its own context via ~/.hermes/SOUL.md separately.
Read it once at the start of a session and keep it in mind. Don't quote it back at the user.
Who's in the stack
| Agent | Strength | When to pick it |
|---|---|---|
Codex (codex) |
Long-context planning, GitHub-Copilot-backed gpt-5.5 with xhigh reasoning | Default orchestrator. Use Codex itself unless the task fits a specialist. |
OpenCode (opencode) |
Fast multi-model worker, default agent "build" runs on big-pickle | Mechanical refactors, test-writing, codemods. Cheap and fast. |
CommandCode (cmd) |
"Taste-1" model — purpose-built for code aesthetics | "Does this read well / match the codebase's idioms?" Nothing else is this good for that. |
Hermes (hermes) |
Tool-calling-tuned models from Nous Research; rich plugin/MCP/skill ecosystem | Open-ended agentic work, when you want a specific Nous model, or when you want a parallel orchestrator independent of Codex. |
Gemini CLI (gemini) |
Google Gemini, generous free daily quota | Free-tier worker. Use for routine refactors, summaries, exploratory work — keep paid agents for the parts that need them. |
Delegation primitives
Three ways to hand work off — pick deliberately, the differences matter:
- In-Codex personas (
.codex/agents/architect.toml,reviewer.toml,researcher.toml). The nativemulti_agenttoolset spawns these inside Codex itself — no extra processes. Cheap and clean for orchestrator-side roles. - Short bash inline — for blocking calls that finish in a few minutes:
opencode run [--agent <persona>] "<prompt>"cmd --skip-onboarding --trust [--yolo] -p "<prompt>"hermes chat -Q --accept-hooks [--skills <name>] -q "<prompt>"gemini [--model <m>] [--yolo] -p "<prompt>"The skillendy-delegatecovers when to use a persona vs ad-hoc inline.
- Long detached runs — for unsupervised work that may take 5+ minutes and needs full permissions OK:
endy spawn <agent> [--persona <name>] -- "<prompt>"- Returns a TASK_ID immediately; agent runs in a fresh tmux window.
- Track with
endy watch list/endy watch log <id>.
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.
- 1mo ago First seen · 128 lines · 3,029 tokens per session scan A 9e30948bf690
endy AGENTS.md is an instructions file published in the GitHub repository trentisiete/endy (7 stars, last pushed 5mo ago), licensed MIT. It adds 3,029 tokens to every session, about $0.0121 per session on Opus 5.5. 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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next.js AGENTS.md
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