Borrowing it
Nothing to install: this file belongs to aivrar/portable-hermes-agent. 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/aivrar/portable-hermes-agent/main/AGENTS.mdgit clone --depth 1 https://github.com/aivrar/portable-hermes-agentWrote 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/aivrar/portable-hermes-agent/agents-md)<a href="https://agentmods.dev/instructions/aivrar/portable-hermes-agent/agents-md"><img src="https://agentmods.dev/badge/instructions/aivrar/portable-hermes-agent/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/aivrar/portable-hermes-agent/agents-md"><img src="https://agentmods.dev/badge/instructions/aivrar/portable-hermes-agent/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 | $0.23135 | $0.23135 |
| Opus 5.5 | $0.09254 | $0.09254 |
| Sonnet 5.5 | $0.04627 | $0.04627 |
| Haiku 4.5 | $0.02313 | $0.02313 |
Grade A, and why
portable-hermes-agent 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.
This is a copy
100% identical to hermes-agent AGENTS.md — 1,559 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 1,785 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hermes Agent - Development Guide
Instructions for AI coding assistants and developers working on the hermes-agent codebase.
Never give up on the right solution.
What Hermes Is
Hermes is a personal AI agent that runs the same agent core across a CLI, a messaging gateway (Telegram, Discord, Slack, and ~20 other platforms), a TUI, and an Electron desktop app. It learns across sessions (memory + skills), delegates to subagents, runs scheduled jobs, and drives a real terminal and browser. It is extended primarily through plugins and skills, not by growing the core.
Two properties shape almost every design decision and are the lens for reviewing any change:
- Per-conversation prompt caching is sacred. A long-lived conversation reuses a cached prefix every turn. Anything that mutates past context, swaps toolsets, or rebuilds the system prompt mid-conversation invalidates that cache and multiplies the user's cost. We do not do it (the one exception is context compression).
- The core is a narrow waist; capability lives at the edges. Every model tool we add is sent on every API call, so the bar for a new core tool is high. Most new capability should arrive as a CLI command + skill, a service-gated tool, or a plugin — not as core surface.
Contribution Rubric — What We Want / What We Don't
This is the project's intent layer. Use it two ways:
- For humans and for your own work — what gets merged and what gets rejected, so a contribution aims at the target.
- For automated review (the triage sweeper) — guidance on when a PR is
safe to close on the three allowed reasons (
implemented_on_main,cannot_reproduce,incoherent) and, just as important, when NOT to close one. Taste-based "we don't want this / out of scope" closes are NOT an automated decision — those stay with a human maintainer. The sweeper's job here is to recognize design intent and avoid wrongly closing a legitimate contribution, not to make the won't-implement call itself.
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 · 1,785 lines · 23,135 tokens per session scan A 93a12ef7f78a
portable-hermes-agent AGENTS.md is an instructions file published in the GitHub repository aivrar/portable-hermes-agent (237 stars, last pushed yesterday), licensed MIT. It adds 23,135 tokens to every session, about $0.0925 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to hermes-agent AGENTS.md, differing in 1,559 lines, and is treated as a copy.
Other instructions, from other repositories
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).
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