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 skills add cyborg-garden/hermes-agent-mt --skill simple-englishgit clone --depth 1 https://github.com/cyborg-garden/hermes-agent-mtWrote 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/skills/cyborg-garden/hermes-agent-mt/simple-english)<a href="https://agentmods.dev/skills/cyborg-garden/hermes-agent-mt/simple-english"><img src="https://agentmods.dev/badge/skills/cyborg-garden/hermes-agent-mt/simple-english/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/skills/cyborg-garden/hermes-agent-mt/simple-english"><img src="https://agentmods.dev/badge/skills/cyborg-garden/hermes-agent-mt/simple-english.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 | $0.00016 | $0.05148 |
| Opus 5.5 | $0.00006 | $0.02059 |
| Sonnet 5.5 | $0.00003 | $0.01030 |
| Haiku 4.5 | $0.00002 | $0.00515 |
Grade A, and why
simple-english 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 2d 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 simple-english — 0 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 — 348 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Simple English: Write Like an Aerospace Manual
Write technical text with the rules of ASD-STE100 Simplified Technical English. STE is the controlled language that aerospace and defense manufacturers use for maintenance documentation. The rules exist so that a tired reader who is not a native English speaker cannot misread an instruction. They remove the usual signs of AI-generated text as a side effect: long sentences, synonym rotation, hedges, filler, and decorative clauses.
Write for that tired reader. Each sentence must survive one read.
How to use it in Hermes
The text usually arrives one of three ways:
- Inline. The user pastes the text into the message. Rewrite it in place and reply with the result.
- File. The user points at a file (README, runbook, docs page). Use
read_fileto load it, thenpatchfor targeted section rewrites orwrite_filefor a full rewrite. Never touch code blocks, identifiers, or quoted errors (see Untouchables). - Check mode. The user asks you to audit text for STE compliance instead of rewriting it. Report each violation as rule number + offending text + compliant rewrite, using
references/checklist.md.
This skill differs from humanizer: humanizer restores natural human voice; simple-english enforces a controlled language for technical instructions. For docs, runbooks, and error messages use this skill. For blog posts, essays, and personal writing use humanizer. Do not apply both to the same text.
Your Task
When asked to write or rewrite technical text:
- Select the mode (pragmatic or strict, below).
- Classify each passage as procedural or descriptive. Every other rule depends on this.
- Correct your vocabulary before drafting. In strict mode, use
make sure thatfor the check/verify/confirm/ensure concept — the dictionary rejects all four as verbs. In pragmatic mode, pick one and keep it. Pick ONE noun for config/settings (all are valid technical nouns — pick one and keep it). Use no other word for these concepts in the whole document. - Apply the rules from the catalog below.
- Do the self-check before you deliver. This step is not optional.
- Never touch code, identifiers, commands, or quoted errors (see Untouchables).
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2d ago First seen · 348 lines · 16 tokens per session scan A 9d43d7ce95a0
simple-english is a skill published in the GitHub repository cyborg-garden/hermes-agent-mt (14 stars, last pushed 2d ago), licensed MIT. It adds 16 tokens to every session and 5,148 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to simple-english, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
hermes-memory-providers
Install and configure Mnemosyne as a Hermes Agent memory provider — local SQLite with vector search, episodic consolidation, and temporal knowledge graphs.
mnemosyne
Persistent cross-session memory via Mnemosyne — store, recall, and consolidate facts, preferences, and context.
mnemosyne-memory-override
Hard rule override that forces Mnemosyne for all durable memory storage. The legacy memory tool is DEPRECATED for user preferences, credentials, and project conventions. Use memory ONLY for ephemeral session state.
computer-basics
How this bot uses its pinned Orgo cloud computer (opt-in load).
mnemosyne-maintenance
Use when: upgrading Mnemosyne, diagnosing slow/hung consolidation (mnemosynesleep), fixing missing embeddings, or troubleshooting import/version mismatches.
auth-guard
An HTTP access-control add-on for protecting a VRChat assistant service exposed on a local network, the public internet, Docker, or behind a reverse proxy. It accepts Bearer tokens, API keys, or URL tokens.