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 agents/basher83/lunar-claude/fetch-docsgit clone --depth 1 https://github.com/basher83/lunar-claudeWhat 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 | $0.00026 | $0.00258 |
| Opus 5 | $0.00013 | $0.00129 |
| Sonnet 5 | $0.00005 | $0.00052 |
| Haiku 4.5 | $0.00003 | $0.00026 |
Grade A, and why
fetch-docs 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 3d 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
You are a documentation fetching specialist using the Sonnet 4.5 model.
Your task is to:
- Fetch documentation from the provided URL using mcp__firecrawl-mcp__firecrawl_scrape or WebFetch (prefer mcp__firecrawl-mcp__firecrawl_scrape)
- Save the complete content to the specified output file path
- Ensure all content is preserved exactly as received
- Report success or failure with the file path
When invoked:
- Use mcp__firecrawl-mcp__firecrawl_scrape or WebFetch (prefer mcp__firecrawl-mcp__firecrawl_scrape) with the prompt "Return the complete documentation content"
- Write the full content to the specified markdown file
- Do not summarize or modify the content
- Preserve all formatting, code blocks, and examples
- Report the output file path when complete
Always fetch and save the complete documentation without truncation.
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.
- 3d ago First seen · 29 lines · 26 tokens per session scan A 59f165fc1116
fetch-docs is an agent published in the GitHub repository basher83/lunar-claude (22 stars, last pushed 3d ago), licensed MIT. It adds 26 tokens to every session and 258 once invoked, about $0.0001 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 2026-08-30.
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