Scientific Agent Skills is a collection of reusable procedures that give AI agents capabilities for scientific research across areas such as biology, chemistry, medicine, and drug discovery. It is used by researchers and by people building AI scientist workflows with compatible coding agents. The catalogue contains many of the project's skills and supporting instructions.
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 K-Dense-AI/scientific-agent-skills --skill depmapgit clone --depth 1 https://github.com/K-Dense-AI/scientific-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/k-dense-ai/scientific-agent-skills/depmap)<a href="https://agentmods.dev/skills/k-dense-ai/scientific-agent-skills/depmap"><img src="https://agentmods.dev/badge/skills/k-dense-ai/scientific-agent-skills/depmap/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/k-dense-ai/scientific-agent-skills/depmap"><img src="https://agentmods.dev/badge/skills/k-dense-ai/scientific-agent-skills/depmap.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00065 | $0.03149 |
| Opus 5.5 | $0.00026 | $0.01260 |
| Sonnet 5.5 | $0.00013 | $0.00630 |
| Haiku 4.5 | $0.00006 | $0.00315 |
Grade A, and why
depmap scanned grade A with 1 finding 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 25d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
The helper uses Python urllib, which succeeded at review; the same public endpoint Copies of this mod
8 near-identical copies found in the catalogue:
- depmap — 100% identical, 420 lines differ
- depmap — 100% identical, 422 lines differ
- depmap — 100% identical, 422 lines differ
- depmap — 100% identical, 420 lines differ
- depmap — 97% identical, 427 lines differ
- depmap — 94% identical, 421 lines differ
- depmap — 94% identical, 421 lines differ
- depmap — 94% identical, 421 lines differ
How it starts
The opening of the file, as written. The whole thing — 234 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DepMap — Cancer Dependency Map
When to use
Use this skill to rank dependencies in cancer models, compare prespecified biomarker cohorts, inspect co-essentiality, or relate genetic dependencies to PRISM compound response. These analyses generate target and synthetic-lethality hypotheses; they do not establish clinical efficacy, a therapeutic window, or a causal interaction.
DepMap integrates Broad and Sanger CRISPR screens and hosts independent RNAi and drug-screen datasets. Match each question to its assay and pinned release. RNAi DEMETER2 is a different perturbation modality, not an older CRISPR scoring method.
1. Discover a release, then obtain its files
Use DepMap Downloads and the selected
release's README and release notes. On review, the live catalogue's latest
DepMap Public release was 26Q1, dated 2026-04-01. Rediscover before new work;
a release name or expected quarter is not evidence a release is available.
Verified public endpoint
GET https://depmap.org/portal/api/no-captcha/download/files returns a complete
CSV catalogue, with no request body, API key, or pagination parameters. Required
metadata columns are release, release_date, filename, and md5_hash.
The live response also has url: older files can have links, while recent
release rows have blank links. All 85 entries for 26Q1 had blank url values at
review. Treat availability per row, not per endpoint.
The staff announcement
introduced this metadata route in July 2026. The older
https://depmap.org/portal/api/download/files catalogue can supply download links
but returned an HTML verification page during review, including with HTTP 200.
Validate content before parsing. Obtain current files through the portal when
verification is required. Refresh expiring signed links immediately before use;
do not fabricate storage URLs or assume every new release is on Figshare.
What ships with it
2 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.
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.
- 25d ago Changed · -72 lines · +13 tokens per session 893eb02a2dc8
- 26d ago Changed · +4 lines d05e9920a729
- 1mo ago First seen · 302 lines · 52 tokens per session scan A 39ed3b4766ca
depmap is a skill published in the GitHub repository K-Dense-AI/scientific-agent-skills (54,777 stars, last pushed yesterday), licensed MIT. It adds 65 tokens to every session and 3,149 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
discovery-toolbox
A routed repertoire of 90 scientific thinking operators for biological research agents - visual reasoning, detectability and information budgets, search reframing, causal identification, competing explanations, observation and selection processes, pipeline artifact diagnosis, effort allocation, and confirmation…
discovery-director
Operate as a research director making original discoveries from a given biological question and dataset. Use when the task is open-ended scientific research, exploring omics or experimental data for findings, hypothesis generation and testing, screening a large candidate space of genes, variants, features or…
bio-interdomain-hgt
Detect and polarize interdomain horizontal gene transfer with reciprocal hits, genomic context, and gene trees. Use for virus-host gene exchange, endogenous viral elements, or donor direction.
scholion
Second-opinion support for individuals and clinicians, one person's data at a time — genome, laboratory history, prescriptions, wearables. It reads them locally and states what the data cannot support. No data is baked into the skill: everyone supplies their own. Use it when you need to check a physician's…
csag-extraction
Extract a Conditional Scientific Argumentation Graph and grounded Q&A from a manuscript. Use when representing assertions, contexts, evidence links, and inference steps in machine-readable form.
notebooks
Author, run and convert marimo or Jupyter notebooks. Use when delivering an analysis notebook executed end to end with figures embedded.