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/cwensel/arcaneumWrote 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/cwensel/arcaneum/doctor)<a href="https://agentmods.dev/commands/cwensel/arcaneum/doctor"><img src="https://agentmods.dev/badge/commands/cwensel/arcaneum/doctor.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00207 |
| Opus 5 | $0.00000 | $0.00103 |
| Sonnet 5 | $0.00000 | $0.00041 |
| Haiku 4.5 | $0.00000 | $0.00021 |
Grade A, and why
doctor 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 7d 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
Check that all Arcaneum prerequisites are met and the system is ready for use.
Arguments:
- --verbose: Show detailed diagnostic information
- --json: Output JSON format
Checks Performed:
- Python version (>= 3.12 required)
- Required Python dependencies installed
- Qdrant server connectivity and health
- MeiliSearch server connectivity (if configured)
- Embedding model availability
- Write permissions for temporary files
- Environment variable configuration
Examples:
/doctor
/doctor --verbose
/doctor --json
Execution:
arc doctor $ARGUMENTS
Note: This diagnostic command helps troubleshoot setup issues. I'll run all checks and present a summary showing which requirements are met (✅) and which need attention (❌), along with specific guidance for fixing any problems found.
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.
- 7d ago First seen · 40 lines · 0 tokens per session scan A b3c470699301
doctor is a command published in the GitHub repository cwensel/arcaneum (7 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 207 tokens. 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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