Medical Research Agent Skills is a library of agent instructions for medical and biomedical research, covering evidence analysis, study protocol design, data analysis, and academic writing. Researchers use it to guide compatible coding agents through common scientific workflows. The catalogue contains many of the library's skills and commands.
Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/aipoch/medical-research-skillsnpx agentmods add skills/aipoch/medical-research-skills/lncrna-regulatory-network-construction-analysisWrote 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/aipoch/medical-research-skills/lncrna-regulatory-network-construction-analysis)<a href="https://agentmods.dev/skills/aipoch/medical-research-skills/lncrna-regulatory-network-construction-analysis"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/lncrna-regulatory-network-construction-analysis/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/aipoch/medical-research-skills/lncrna-regulatory-network-construction-analysis"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/lncrna-regulatory-network-construction-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00060 | $0.02668 |
| Opus 5 | $0.00030 | $0.01334 |
| Sonnet 5 | $0.00012 | $0.00534 |
| Haiku 4.5 | $0.00006 | $0.00267 |
Grade A, and why
lncrna-regulatory-network-construction-analysis 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.
How it starts
The opening of the file, as written. The whole thing — 267 lines — stays where its author put it; the contents beside it link to each section on GitHub.
lncRNA Regulatory Network Construction Analysis
When to Use
Use this skill when the user wants a local-database network lookup workflow rather than expression-based inference.
Typical use cases:
- Build an lncRNA-mRNA network from target genes and the bundled ceRNA reference tables
- Start from a candidate lncRNA list and retrieve linked mRNAs through shared miRNAs
- Generate an auditable lncRNA-mRNA network table plus a tripartite evidence table
- Reuse a saved database-derived network object to regenerate a PDF plot
Do not use this skill when the user asks for:
- Expression-matrix-based network inference
- Correlation analysis between lncRNAs and mRNAs
- Causal inference or regulatory-strength estimation from expression data
- Online database querying or remote API lookups
Execution Model
This is a hybrid skill.
- Read
SKILL.mdto confirm that the request is database-driven. - Use
scripts/main.Rfor actual execution. - Use
--mode analyzeto build tables and a saved.rdaobject. - Use
--mode visualizeto reuse the saved object and redraw the PDF without rebuilding the database tables. - Use
--mode fullto run both steps in one pass. - Read reference files only when more detail is needed.
- Before
--mode visualize, confirm thatoutput_dir/data/lncrna_network.rdaalready exists. - In
visualizemode, the saved.rdaobject is the required input; a missing or invalidreference_dirdoes not block plot reuse. - After execution, report the mode, output directory, key files, and either the retained network size or the surfaced skill error code.
When to Read External Files
| Situation | File to Read | Purpose |
|---|---|---|
| Need algorithm details | references/algorithm.md |
Understand the shared-miRNA projection logic |
| Need troubleshooting help | references/troubleshooting.md |
Review error codes and fixes |
| Need CLI examples or the baseline record | references/cli-guide.md |
Review installation, examples, and the recorded run |
| Need runnable demo inputs | tests/data/ |
Use the bundled target gene and lncRNA lists |
| Need actual execution | scripts/main.R |
Run the CLI workflow |
What ships with it
23 files 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.
- eval_report_lncrna-regulatory-network-construction-analysis_result.json 13 KB
- references/algorithm.md 2.1 KB
- references/cli-guide.md 4.6 KB
- references/database/miRDB_miRNA_mRNA.csv 49178 KB
- references/database/miRNA_mRNA.csv 579 KB
- references/database/miRTarbase_miRNA_mRNA.csv 11446 KB
- references/database/starbase_miRNA_lncRNA_High.csv 102 KB
- references/database/starbase_miRNA_lncRNA_Low.csv 326 KB
- references/database/starbase_miRNA_lncRNA_Median.csv 163 KB
- references/database/starbase_miRNA_mRNA.csv 12379 KB
- references/troubleshooting.md 2.3 KB
- scripts/cli_options.R 4.7 KB
- scripts/functions.R 3.1 KB
- scripts/io.R 2.5 KB
- scripts/main.R 3.9 KB
- scripts/plot_helpers.R 265 B
- scripts/recording.R 2.9 KB
- scripts/run_analysis.R 2.7 KB
- scripts/utils.R 4.1 KB
- scripts/visualization.R 1.3 KB
- tests/data/target_genes.txt 15 B
- tests/data/target_lncrna.txt 23 B
- tests/run_tests.R 3.7 KB
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 · 267 lines · 60 tokens per session scan A bf7013ea1f74
lncrna-regulatory-network-construction-analysis is a skill published in the GitHub repository aipoch/medical-research-skills (1,860 stars, last pushed 1mo ago), licensed MIT. It adds 60 tokens to every session and 2,668 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 2026-08-30.
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