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 comprehend-languagesgit 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/comprehend-languages)<a href="https://agentmods.dev/skills/hmbown/wizards-of-the-ghosts/comprehend-languages"><img src="https://agentmods.dev/badge/skills/hmbown/wizards-of-the-ghosts/comprehend-languages/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/comprehend-languages"><img src="https://agentmods.dev/badge/skills/hmbown/wizards-of-the-ghosts/comprehend-languages.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 | $0.00030 | $0.00516 |
| Opus 5 | $0.00015 | $0.00258 |
| Sonnet 5 | $0.00006 | $0.00103 |
| Haiku 4.5 | $0.00003 | $0.00052 |
Grade A, and why
comprehend-languages 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Comprehend Languages
Translate code, jargon, protocol surfaces, or human language into operational meaning.
What This Skill Does
Use this skill when the words are legible but the meaning is trapped inside an unfamiliar dialect, format, or community. In this grimoire, Comprehend Languages is treated as a metaphorical spell with a shipping-now delivery profile. Canonical reference input: Comprehend Languages (spell).
When To Use
- You are reading unfamiliar jargon, logs, schemas, or domain-specific shorthand.
- You need translation plus interpretation, not literal word substitution.
- A team or toolchain uses language that blocks progress.
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.
- Identify the source dialect, format, or jargon domain.
- Translate the surface text into plain language while preserving technical meaning.
- Explain domain-specific assumptions, idioms, and missing context.
- Return the translated content with terms of art preserved where necessary.
- Package the result as the deliverables below, with confidence, assumptions, and unresolved risk called out explicitly.
Deliverables
- A plain-language translation.
- A glossary of non-obvious terms.
- Notes on ambiguity or lost nuance.
Pitfalls / Guardrails
- Keep the metaphor anchored to a real mechanism instead of drifting into lore.
- Do not flatten away important technical distinctions.
- Flag ambiguity when a term has multiple plausible meanings.
Verification
- Check that the result includes every deliverable promised above.
- Check that confirmed facts, assumptions, and inferences are visibly separated.
- Check that the metaphor still maps cleanly to a real operational mechanism.
Example Invocation
/comprehend-languages translate this code, jargon, or protocol into clear operational English
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 · 67 lines · 30 tokens per session scan A 870edda5f21a
comprehend-languages is a skill published in the GitHub repository Hmbown/Wizards-of-the-Ghosts (107 stars, last pushed 5mo ago), licensed CC0-1.0. It adds 30 tokens to every session and 516 once invoked, about $0.0002 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 2026-09-03.
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