Borrowing it
Nothing to install: this file belongs to omar-A-hassan/medsci-agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/omar-A-hassan/medsci-agent/main/.opencode/skills/hypothesis-generation/SKILL.mdgit clone --depth 1 https://github.com/omar-A-hassan/medsci-agentWrote 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/omar-a-hassan/medsci-agent/hypothesis-generation)<a href="https://agentmods.dev/skills/omar-a-hassan/medsci-agent/hypothesis-generation"><img src="https://agentmods.dev/badge/skills/omar-a-hassan/medsci-agent/hypothesis-generation/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/omar-a-hassan/medsci-agent/hypothesis-generation"><img src="https://agentmods.dev/badge/skills/omar-a-hassan/medsci-agent/hypothesis-generation.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 | $0.00020 | $0.00308 |
| Opus 5.5 | $0.00008 | $0.00123 |
| Sonnet 5.5 | $0.00004 | $0.00062 |
| Haiku 4.5 | $0.00002 | $0.00031 |
Grade A, and why
hypothesis-generation 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 2mo 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
Hypothesis Generation
When to Use
- After exploratory data analysis reveals interesting patterns
- When literature review suggests novel connections
- During target discovery or drug repositioning
- When designing experiments
Framework
1. Observation Phase
- What pattern or signal was observed?
- What is the data source and quality?
- Is it reproducible or a single observation?
2. Context Phase
- What does existing literature say?
- Are there known mechanisms that could explain the observation?
- What are related findings in adjacent fields?
3. Hypothesis Formulation
Use the IF-THEN-BECAUSE format:
- IF [specific intervention or condition]
- THEN [measurable outcome]
- BECAUSE [proposed mechanism]
4. Testability Assessment
- Is the hypothesis falsifiable?
- What experiment would test it?
- What controls are needed?
- What statistical test would evaluate results?
5. Impact Assessment
- If confirmed, what would change?
- Who benefits?
- What is the next step?
Tools to Support
differential_expression→ discover gene-level signalsgene_set_enrichment→ find pathway-level patternssearch_pubmed→ validate against literaturesearch_clinical_trials→ check if already being tested
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.
- 2mo ago First seen · 48 lines · 20 tokens per session scan A 03c619f2d359
hypothesis-generation is a skill published in the GitHub repository omar-A-hassan/medsci-agent (17 stars, last pushed 2mo ago), licensed MIT. It adds 20 tokens to every session and 308 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 2026-08-30.
hypothesis-generation compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| hypothesis-generationomar-A-hassan/medsci-agent | Skill | 17 | 2mo ago | MIT | A | 20 | OpenCode |
| build-expression-treejimmc414/claude-code-plugin-marketplace | Skill | 4 | yesterday | MIT | A | 24 | Claude Code |
| find-convex-hulljimmc414/claude-code-plugin-marketplace | Skill | 4 | yesterday | MIT | A | 31 | Claude Code |
| dfam-checkearthtojake/text-to-cad | Skill | 26k | yesterday | MIT | A | 117 | Claude Code, Codex |
| peer-reviewxintaofei/codeg | Skill | 4.2k | 6d ago | Apache-2.0 | A | 71 | Claude Code |
| scientific-critical-thinkingxintaofei/codeg | Skill | 4.2k | 6d ago | Apache-2.0 | A | 63 | Claude Code |
| tooluniverse-phylogeneticsmims-harvard/ToolUniverse | Skill | 1.8k | yesterday | Apache-2.0 | A | 155 | Claude Code |