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 latchbio-integrationgit 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/latchbio-integration)<a href="https://agentmods.dev/skills/k-dense-ai/scientific-agent-skills/latchbio-integration"><img src="https://agentmods.dev/badge/skills/k-dense-ai/scientific-agent-skills/latchbio-integration/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/latchbio-integration"><img src="https://agentmods.dev/badge/skills/k-dense-ai/scientific-agent-skills/latchbio-integration.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 22 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00076 | $0.02242 |
| Opus 5 | $0.00038 | $0.01121 |
| Sonnet 5 | $0.00015 | $0.00448 |
| Haiku 4.5 | $0.00008 | $0.00224 |
Grade A, and why
latchbio-integration 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 8d 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
with `subprocess.run(..., check=True)`. How it starts
The opening of the file, as written. The whole thing — 245 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LatchBio Integration
Current Baseline
This skill targets Latch SDK 2.76.8, released July 10, 2026. The package metadata supports Python 3.9–3.12 and declares Python 3.9+.
Treat the installed package and its changelog as authoritative when a guide disagrees with the SDK. Some Latch guides retain older Python ranges or compatibility-specific pre-release pins, especially the Snakemake v2 tutorial. Never combine commands or imports from different tracks without checking their version requirements.
When to Use
Use this skill to:
- Create or maintain Python SDK workflows and task graphs
- Package and register Python, Nextflow, or Snakemake pipelines
- Configure task CPU, memory, storage, GPU, caching, retries, and timeouts
- Work with Latch Data through
LPath,LatchFile,LatchDir, or the CLI - Read or update Latch Registry projects, tables, and records
- Design workflow forms, launch plans, samplesheets, messages, and result links
- Stage and debug workflow images with
latch register --stagingandlatch develop - Launch and monitor workflows through Python or Latch MCP
- Discover and use ready-to-run Latch workflows
Route to the Right Reference
Read only the references needed for the task:
| Need | Reference |
|---|---|
| Python workflows, tasks, maps, conditions, caching | references/workflow-creation.md |
LPath, legacy file types, Latch URLs, data CLI |
references/data-management.md |
| Registry reads, transactions, samplesheets | references/registry.md |
| CPU, memory, storage, GPU, dynamic resources | references/resource-configuration.md |
| Nextflow and Snakemake packaging | references/nextflow-snakemake.md |
| Metadata, forms, launch plans, messages, automations | references/ui-and-automation.md |
| Registration, development, execution, monitoring | references/operations-and-debugging.md |
Ready-to-use workflows and latch.verified |
references/verified-workflows.md |
| Remote MCP setup and tool workflow | references/latch-mcp.md |
What ships with it
10 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.
- references/data-management.md 7.2 KB
- references/latch-mcp.md 4.4 KB
- references/nextflow-snakemake.md 8.4 KB
- references/operations-and-debugging.md 8.3 KB
- references/registry.md 7.3 KB
- references/resource-configuration.md 7.4 KB
- references/ui-and-automation.md 9.3 KB
- references/verified-workflows.md 6.5 KB
- references/workflow-creation.md 8.0 KB
- scripts/inspect_latch_sdk.py 8.9 KB runs code
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.
- 8d ago First seen · 245 lines · 76 tokens per session scan A f9607ea51cec
latchbio-integration is a skill published in the GitHub repository K-Dense-AI/scientific-agent-skills (44,220 stars, last pushed 4d ago), licensed MIT. It adds 76 tokens to every session and 2,242 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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…
uptime-monitor
Monitor website uptime - check availability, response times, and status.
Cloud Security & Container Hardening
AWS/Azure/GCP security auditing, container and Kubernetes hardening, Infrastructure as Code scanning, and cloud compliance assessment.
alterlab-remote-compute
Dispatch long-running GPU/CPU jobs to remote compute with a provider-agnostic submit → poll → harvest pattern across SLURM/HPC (sbatch, squeue, sacct) and managed APIs (Modal, RunPod, GCP Batch / Vertex AI). Use when submitting a batch job to a cluster, polling job status, retrieving result artifacts from a scheduler…
go-tooling-security
Use when setting up Go modules/workspaces, configuring golangci-lint v2, running govulncheck, or building a Go CI quality gate. Not for app logic or non-Go audits.