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 Hmbown/Wizards-of-the-Ghosts --skill tonguesgit clone --depth 1 https://github.com/Hmbown/Wizards-of-the-GhostsWrote 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/hmbown/wizards-of-the-ghosts/tongues)<a href="https://agentmods.dev/skills/hmbown/wizards-of-the-ghosts/tongues"><img src="https://agentmods.dev/badge/skills/hmbown/wizards-of-the-ghosts/tongues/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/hmbown/wizards-of-the-ghosts/tongues"><img src="https://agentmods.dev/badge/skills/hmbown/wizards-of-the-ghosts/tongues.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 | $0.00095 | $0.00726 |
| Opus 5.5 | $0.00038 | $0.00290 |
| Sonnet 5.5 | $0.00019 | $0.00145 |
| Haiku 4.5 | $0.00010 | $0.00073 |
Grade A, and why
tongues 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tongues
Make unlike systems understand the same sentence.
What This Skill Does
Tongues is universal translation across languages, formats, and protocols. It can mean English to Spanish, JSON to XML, REST to GraphQL, Python to JavaScript, or one team's business vocabulary to another team's schema. The spell is not just about swapping tokens. It is about preserving meaning while crossing into a different representation. Good Tongues work makes both sides feel native. Bad Tongues work creates a smooth-looking mistranslation that fails at the edges. In this grimoire, Tongues is treated as a metaphorical spell with a shipping-now delivery profile. Canonical reference input: Tongues (spell).
When To Use
- You need to translate between human languages, programming languages, data formats, or protocol styles.
- Two systems or teams mean roughly the same thing but encode it in incompatible ways.
- You need a faithful bridge, not a lossy paraphrase that only works on the happy path.
Prerequisites
- No extra runtime dependencies beyond Hermes Agent and the normal toolset for this session.
Procedure
- Restate the target, the success condition, and any no-touch boundaries before taking action.
- Define the source and target dialects, including the meaning that must survive the crossing.
- Map concepts, structures, and edge cases rather than translating token-by-token.
- Test the translation on representative examples and identify where fidelity is perfect, approximate, or impossible.
- Return the translated artifact with notes on equivalence, lossiness, and any adapter logic still required.
- Package the result as the deliverables below, with confidence, assumptions, and unresolved risk called out explicitly.
Deliverables
- A translated artifact in the target language, format, or protocol.
- A concept map showing how source meanings land on the destination side.
- A list of lossy edges, incompatibilities, or adapter code still needed.
Pitfalls / Guardrails
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 · 67 lines · 95 tokens per session scan A e2935ba26d3b
tongues is a skill published in the GitHub repository Hmbown/Wizards-of-the-Ghosts (112 stars, last pushed 6mo ago), licensed CC0-1.0. It adds 95 tokens to every session and 726 once invoked, about $0.0004 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 2026-09-03.
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