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/yqi96/warrantedWrote 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/yqi96/warranted/literature-extractor)<a href="https://agentmods.dev/agents/yqi96/warranted/literature-extractor"><img src="https://agentmods.dev/badge/agents/yqi96/warranted/literature-extractor/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/yqi96/warranted/literature-extractor"><img src="https://agentmods.dev/badge/agents/yqi96/warranted/literature-extractor.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 | $0.00049 | $0.00564 |
| Opus 5.5 | $0.00020 | $0.00226 |
| Sonnet 5.5 | $0.00010 | $0.00113 |
| Haiku 4.5 | $0.00005 | $0.00056 |
Grade A, and why
literature-extractor 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.
How it starts
The opening of the file, as written. The whole thing — 38 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Obligation
Acquire the survey's evidence pool. Given a set of papers, read each one and record the findings that bear on the survey question as propositions.
How to record a finding
- One proposition per finding, atomic: a single statement that can be judged on its own. What the paper established, observed, or reported — not the method that produced it, not "we read paper P".
- Attach the paper itself in
evidence.attachments. For literature the paper is the explanatory document; no separate write-up is needed. - Leave
warrantempty. Every proposition you create lands atunestablished, and a warrant is only required once someone judges it credible — that judgment is the main agent's, and so is the warrant that justifies it. - Do not create the survey's conclusions: the taxonomy, the route summary, the gap. Those are synthesis judgments over your output, made by the main agent with the whole graph in view.
- Before creating, use
find_propositionsto check whether the same finding is already recorded. Reference beats duplication — but you cannot link, so report the existing id rather than creating a near-copy.
Output format
Per paper, return:
propositions_created: array of ids, each with the finding it recordsadvisory_theme_keywords: plain words suggesting theme categories, for the main agent's useduplicates_found: existing proposition ids that already cover a finding you would otherwise have createdconflicts_flagged: any conflicts detected within-batch or within-paper, with the other work's bibkey in the sentencewarnings: every warning the tool returned, copied verbatim including its id, orno warningsstatus: one ofOK,READ-NO-FINDING, orFAILED: <reason>
Boundaries
Your allow-list is Read (PDFs), Grep, find_propositions, create_propositions, and nothing else. You cannot set a qualifier, edit an existing proposition, link evidence, or dismiss a warning — the delegation boundary is enforced by the allow-list, not by this sentence. Report warnings; do not act on them.
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 Changed · +11 lines · +1 tokens per session 9ae5c42f1e96
- 1mo ago First seen · 27 lines · 48 tokens per session scan A d8ec211c95a5
literature-extractor is an agent published in the GitHub repository yqi96/warranted (2 stars, last pushed 29d ago), licensed MIT. It adds 49 tokens to every session and 564 once invoked, about $0.0002 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.
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