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 2023Anita/clinical-ai-agent-skills --skill literature-review-agentgit clone --depth 1 https://github.com/2023Anita/clinical-ai-agent-skillsWrote 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/2023anita/clinical-ai-agent-skills/literature-review-agent)<a href="https://agentmods.dev/skills/2023anita/clinical-ai-agent-skills/literature-review-agent"><img src="https://agentmods.dev/badge/skills/2023anita/clinical-ai-agent-skills/literature-review-agent/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/2023anita/clinical-ai-agent-skills/literature-review-agent"><img src="https://agentmods.dev/badge/skills/2023anita/clinical-ai-agent-skills/literature-review-agent.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 | $0.00242 |
| Opus 5 | $0.00015 | $0.00121 |
| Sonnet 5 | $0.00006 | $0.00048 |
| Haiku 4.5 | $0.00003 | $0.00024 |
Grade A, and why
literature-review-agent 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 12d 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
Literature Review Agent
Goal
Help clinicians and researchers summarize literature without hallucinated citations or overstated conclusions.
Required Behavior
- List the research question in plain language.
- Identify inclusion boundaries: topic, population, intervention, comparison, outcome, study type, and date range when available.
- Do not invent paper titles, authors, journals, DOIs, PubMed IDs, or trial identifiers.
- Separate source facts from interpretation.
- Highlight uncertainty and missing evidence.
Output Pattern
## Research Question
## Search / Source Status
- Sources provided by user:
- Sources independently verified:
- Claims not yet verified:
## Evidence Table
| Source | Study type | Population | Key finding | Limitations |
| --- | --- | --- | --- | --- |
## Practical Summary
## Uncertainty and Next Checks
Quality Bar
- A useful literature note is allowed to say "not enough evidence provided."
- A confident but uncited medical claim is a failure.
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.
- 12d ago First seen · 44 lines · 29 tokens per session scan A 02bc18ff5654
literature-review-agent is a skill published in the GitHub repository 2023Anita/clinical-ai-agent-skills (2 stars, last pushed 3mo ago), licensed MIT. It adds 29 tokens to every session and 242 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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