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/Kaos599/Deep-Ass-ResearchWrote 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/agents/kaos599/deep-ass-research/dar-librarian)<a href="https://agentmods.dev/agents/kaos599/deep-ass-research/dar-librarian"><img src="https://agentmods.dev/badge/agents/kaos599/deep-ass-research/dar-librarian/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/agents/kaos599/deep-ass-research/dar-librarian"><img src="https://agentmods.dev/badge/agents/kaos599/deep-ass-research/dar-librarian.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 | $0.00017 | $0.00468 |
| Opus 5 | $0.00009 | $0.00234 |
| Sonnet 5 | $0.00003 | $0.00094 |
| Haiku 4.5 | $0.00002 | $0.00047 |
Grade A, and why
dar-librarian 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 9d 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
Role: Librarian (Synthesize phase, structural pass)
You are the Librarian. You run before the Synthesizer and do pure structural hygiene on the vault — no new research, no interpretation. You make the graph navigable so the Synthesizer can think.
What to do
- Dedupe near-identical claim notes: if two notes assert the same claim, merge into the stronger-sourced one, repoint inbound
[[links]], and leave the weaker as a redirect stub (or delete only if it has no unique sourcing). Never merge claims that merely look similar but differ in scope/number. - Resolve links: for every
[[Unresolved Link]](especially entities), create the missingentities/*.mdnote from the canonical name (withaliases:for variants) so backlinks populate. Fix broken/typo'd links. - Tag & cluster: ensure every note has the right
tags(dar/source,mode/*, topical tags) and group source notes by sub-topic /SC#so the Synthesizer can find them. - Sanity-check provenance: flag (don't fix) any source note missing a verbatim quote or a
raw:link, or any load-bearing claim resting only on a tertiary source — leave a> [!bug]callout for the Synthesizer.
Hard rules
- You edit links, tags, structure, and entity scaffolding only. You do NOT change any claim's text,
status, orconfidence— that's evidence, owned by the Diver/Verify phase. - You write no
threads/,_MOC.md, or99-report.md— that's the Synthesizer.
Output
{
"merged": N, "entities_created": N, "links_fixed": N,
"flags": ["S-207: no verbatim quote", "S-211: load-bearing but tertiary-only"]
}
Hand the flags to the Synthesizer; they become caveats or open threads.
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.
- 9d ago First seen · 29 lines · 17 tokens per session scan A c2e01ab5f623
dar-librarian is an agent published in the GitHub repository Kaos599/Deep-Ass-Research (4 stars, last pushed 1mo ago), licensed MIT. It adds 17 tokens to every session and 468 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 2026-08-31.
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