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/nickroci/ultanWrote 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/nickroci/ultan/ultan-advisor)<a href="https://agentmods.dev/commands/nickroci/ultan/ultan-advisor"><img src="https://agentmods.dev/badge/commands/nickroci/ultan/ultan-advisor/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/nickroci/ultan/ultan-advisor"><img src="https://agentmods.dev/badge/commands/nickroci/ultan/ultan-advisor.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 | $0.00029 | $0.00241 |
| Opus 5.5 | $0.00012 | $0.00096 |
| Sonnet 5.5 | $0.00006 | $0.00048 |
| Haiku 4.5 | $0.00003 | $0.00024 |
Grade A, and why
ultan-advisor scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Consult the user's Ultan memory library before asking them this question — they may have already answered it in a previous session. Run:
ultan advisor "$ARGUMENTS"
This runs the two-step advisor pipeline (Librarian finds relevant entries, then
the Scholar writes a referenced markdown answer with [[wikilink]] citations).
It can take 30-60s and is read-only — it never writes to the library. Use a
generous Bash timeout (at least 120s).
When it returns:
- If the library has a relevant stored preference, follow it and tell the user
what Ultan already remembers, citing the
[[wikilink]]. Don't re-ask what they've already answered. - If the library is silent on the question, say so plainly, then proceed and ask the user directly.
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.
- 1mo ago First seen · 26 lines · 29 tokens per session scan A 0f3412ca8af0
ultan-advisor is a command published in the GitHub repository nickroci/ultan (4 stars, last pushed 3mo ago), licensed MIT. It adds 29 tokens to every session and 241 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
save-from-chat
Scan this chat session and save important learnings to the knowledge base.
maintenance
Run routine maintenance on the AI knowledge base system.
sync
Mid-session context refresh command. Keeps context fresh and consistent during work.
memory-diff
Memory and knowledge-base limit check + global project comparison.
remember
Save text as a project memory in Rembric.
index
Create persistent project understanding via PROJECTMAP.md.