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 skills add AndyZhuang/Opentest --skill literature_to_hypothesisgit clone --depth 1 https://github.com/AndyZhuang/OpentestWrote 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/skills/andyzhuang/opentest/literature_to_hypothesis)<a href="https://agentmods.dev/skills/andyzhuang/opentest/literature_to_hypothesis"><img src="https://agentmods.dev/badge/skills/andyzhuang/opentest/literature_to_hypothesis/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/skills/andyzhuang/opentest/literature_to_hypothesis"><img src="https://agentmods.dev/badge/skills/andyzhuang/opentest/literature_to_hypothesis.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 | $0.00054 | $0.02957 |
| Opus 5 | $0.00027 | $0.01478 |
| Sonnet 5 | $0.00011 | $0.00591 |
| Haiku 4.5 | $0.00005 | $0.00296 |
Grade A, and why
literature_to_hypothesis 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 8d 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 — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Literature to Hypothesis
Overview
literature_to_hypothesis distills the implicit and explicit hypotheses embedded in scientific literature into a structured, actionable format. Given multiple PubMed articles, abstracts, or full-text papers, it identifies testable if-then propositions, catalogs supporting and contradicting evidence across sources, and proposes concrete experimental validation strategies. The output is a Markdown report with hypothesis tables, evidence summaries, contradiction matrices, and validation roadmaps — enabling researchers to move from literature synthesis to hypothesis-driven experiment design in a single step, bridging the gap between "what we know" and "what we should test next."
When to Use This Skill
Use this skill when any of the following conditions are present:
- Literature-driven hypothesis extraction: A researcher has collected 5–50 papers on a topic and wants to systematically extract the testable hypotheses that emerge from or are implied by the literature.
- Gap analysis and validation planning: Identify which hypotheses in the literature are well-supported vs. under-tested; generate a prioritized list of experiments to validate or refute them.
- Contradiction synthesis: Multiple papers report conflicting findings; the skill surfaces contradictions explicitly and formulates hypotheses that could resolve them (e.g., "If X differs by cell type, then …").
- Grant or proposal preparation: A grant application requires a clear hypothesis section; the skill produces candidate hypotheses with evidence grades and validation plans.
- Systematic review extension: Beyond summarizing findings, the skill converts review conclusions into explicit if-then hypotheses for future research.
- Mechanism hypothesis generation: Papers describe correlations or associations; the skill infers mechanistic hypotheses (e.g., "If A causes B via pathway X, then …") and suggests experiments to test causality.
- Cross-domain synthesis: Literature spans multiple fields (e.g., cancer biology + immunology + drug discovery); the skill identifies integrative hypotheses that connect domains.
- Teaching and training: Generate hypothesis extraction exercises from a paper set; produce structured reports for students learning to read literature critically.
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.
- 8d ago First seen · 228 lines · 54 tokens per session scan A 7b241f3bcf25
literature_to_hypothesis is a skill published in the GitHub repository AndyZhuang/Opentest (22 stars, last pushed 6mo ago), licensed MIT. It adds 54 tokens to every session and 2,957 once invoked, about $0.0003 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 2026-09-03.
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