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.
git clone --depth 1 https://github.com/deepfusionlabs/deep-initWrote 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/commands/deepfusionlabs/deep-init/translate)<a href="https://agentmods.dev/commands/deepfusionlabs/deep-init/translate"><img src="https://agentmods.dev/badge/commands/deepfusionlabs/deep-init/translate/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/commands/deepfusionlabs/deep-init/translate"><img src="https://agentmods.dev/badge/commands/deepfusionlabs/deep-init/translate.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 | $0.00035 | $0.00402 |
| Opus 5.5 | $0.00014 | $0.00161 |
| Sonnet 5.5 | $0.00007 | $0.00080 |
| Haiku 4.5 | $0.00003 | $0.00040 |
Grade A, and why
translate 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 2mo 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.
What it actually says
Run the deep-init skill in translate mode. Load skills/deep-init/SKILL.md and follow references/i18n.md (read references/report.md first).
If no language is given in $ARGUMENTS, open the language picker — the Translate picker flow in SKILL.md, via the AskUserQuestion tool (buttons, no flag to type): the shipped targets (Spanish · Hebrew) as buttons + Other; choosing Other accepts any language you type (the other: <language> escape hatch — content translated, chrome falls back to English). Map the choice to a --translate=<lang> code.
Then:
- Build/refresh the canonical English report first (
report.html) — it is never altered. - Run the content translation pass over the report's prose fields into
.ai/i18n/translation_memory.json(mask grounded tokens — code,file:line, record IDs, product nouns — translate, restore, verify; honest-degrade any miss to English). - Emit
report.<lang>.htmlviapython tools/build_i18n.py <dir> --lang <code>(deterministic; sets<html lang dir>, RTL for Hebrew; chrome is the template's bakedSTRINGStable picked by<html lang>).
English is always generated as the canonical output; translation is a derived overlay and never changes a grounded claim. Shipped languages: es he — any other language works on demand via other: <language> (chrome falls back to English, stated).
$ARGUMENTS
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.
- 2mo ago First seen · 18 lines · 35 tokens per session scan A 11765ef4f9de
translate is a command published in the GitHub repository deepfusionlabs/deep-init (6 stars, last pushed 1mo ago), licensed MIT. It adds 35 tokens to every session and 402 once invoked, about $0.0001 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 commands, from other repositories
report
A report generator that combines the security checks completed in the current session into a final document.
translate
Translate a PDF while preserving its original layout (KolmoPDF).
zh
A short command that switches Claude Code to Simplified Chinese. It is handled locally by a command hook.
show
Display a past OCR review session.
generate-report
Generate a professional HTML report from assessment results in the conversation.
brand-generate
Generate an on-brand document from a saved Brand Profile.