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 agentmods add skills/om-mega/nutritious.md/convertnpx skills add om-mega/nutritious.md --skill convertgit clone --depth 1 https://github.com/om-mega/nutritious.mdWhat 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 | $0.00054 | $0.00226 |
| Opus 5 | $0.00027 | $0.00113 |
| Sonnet 5 | $0.00011 | $0.00045 |
| Haiku 4.5 | $0.00005 | $0.00023 |
Grade A, and why
convert 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.
What it actually says
Nutritious.md — Document to Markdown Converter
When the user references a file that isn't plain text (.pdf, .docx, .pptx, .xlsx, .xls, .html, audio), run:
${CLAUDE_PLUGIN_ROOT}/scripts/setup_env.sh
${CLAUDE_PLUGIN_ROOT}/.venv/bin/python ${CLAUDE_PLUGIN_ROOT}/scripts/convert.py "<file path>"
Parse the returned JSON's markdown field and use it as the document's
content going forward. If the JSON contains a warning field about empty
text extraction, tell the user the file may be a scanned/image-only document
and no OCR is available. If the JSON contains an error field, tell the
user the conversion failed and report the error message.
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 · 21 lines · 54 tokens per session scan A 2f26d5ce9c03
convert is a skill published in the GitHub repository om-mega/nutritious.md (3 stars, last pushed 1mo ago), licensed MIT. It adds 54 tokens to every session and 226 once invoked, about $0.0003 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 2026-08-31.
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