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 yojiro253-del/BioForge --skill literature-searchgit clone --depth 1 https://github.com/yojiro253-del/BioForgeWrote 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/yojiro253-del/bioforge/literature-search)<a href="https://agentmods.dev/skills/yojiro253-del/bioforge/literature-search"><img src="https://agentmods.dev/badge/skills/yojiro253-del/bioforge/literature-search/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/yojiro253-del/bioforge/literature-search"><img src="https://agentmods.dev/badge/skills/yojiro253-del/bioforge/literature-search.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 | $0.00033 | $0.00258 |
| Opus 5 | $0.00016 | $0.00129 |
| Sonnet 5 | $0.00007 | $0.00052 |
| Haiku 4.5 | $0.00003 | $0.00026 |
Grade A, and why
literature-search 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 11d 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
Skill: literature-search
When to use this
When the user wants to find papers on a topic before reading them:
- "Find recent papers on dispersin B and biofilms."
- "Get me sources for my iGEM lit review on antimicrobial surfaces."
What you produce
A ranked, citable list of papers (title, authors, year, citations, link, abstract snippet) to cite or hand to the paper-extractor skill.
How to run it
python scripts/search_papers.py "<topic>" --limit 10
python scripts/search_papers.py "<topic>" --json
No API key needed. For higher rate limits, add a free Semantic Scholar key to ~/keys.md as: S2_API_Key:
Related Skills
- Downstream: paper-extractor (feed a chosen paper in to pull organisms, genes, methods).
Safety
Search and summarize published research only. See SAFETY.md at the repo root.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 30 lines · 33 tokens per session scan A 18255a25ad0b
literature-search is a skill published in the GitHub repository yojiro253-del/BioForge (1 stars, last pushed 2mo ago), licensed MIT. It adds 33 tokens to every session and 258 once invoked, about $0.0002 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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