Hcls Agent Skills
Agent skills for healthcare and life sciences: genomics, imaging, claims, drug discovery, and more. Works with Amazon Quick, Kiro, Amazon AgentCore, AWS Strands SDK, Claude Code, Codex, and any Agent Skills-compatible platform.
Supply asset profile
Research and knowledge work
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + OpenAI Agents + LangChain
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add awslabs/hcls-agent-skills
Maintenance
fresh
12d since push
Risk
Needs review
Low GitHub adoption signal
GitHub quality
10
68/100 Quality · 78/100 Trust
Coverage tags
Review notes
Low GitHub adoption signal · Quality score needs review
Agent adoption scorecard
Trust, audit, and install readiness at a glance
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Human review before install
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
10 GitHub stars
Repo activity
10 stars, 4 forks
Maintenance
12d since push
License
MIT-0
Install
npx skills add awslabs/hcls-agent-skills
Install safety
standard package or runtime install path
Permission surface
no high-risk permission surface in public metadata
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Review before production
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 10 GitHub stars
- Stars/forks activity: 10 stars, 4 forks; issue activity unavailable in current metadata
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- No Agent Proven outcome evidence yet
Agent-readable metadata
Machine-readable decision data for this skill.
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
- Research agents workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Search sources
Suited agents
Install decision
- Command
- npx skills add awslabs/hcls-agent-skills
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 70/100
- Audit
- 82/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add awslabs/hcls-agent-skillsDo not use when
- teams that need a vendor-supported SLA
- production agents without a repository review
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 10 GitHub stars
Alternative
Last30days Skill
53.5K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
Academic Research Skills
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
GPT Researcher
28.0K Stars
npx skills add assafelovic/gpt-researcher
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Deep Research
19.1K Stars
npx skills add dzhng/deep-research
Agent safety v2
70/100 · Review before install
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
- Low GitHub adoption signal
Install targets
Install this skill in your agent workflow
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
OpenAgentSkill CLI
Use the registry command when your workflow supports the OpenAgentSkill installer.
$ npx skills add awslabs/hcls-agent-skillsAgent resolve plan
Let an agent verify fit before installing.
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20Hcls%20Agent%20Skills%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Hcls%20Agent%20Skills%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/awslabs-hcls-agent-skills/install
Agent should check
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copy prompt
Task: Use Hcls Agent Skills in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Hcls%20Agent%20Skills%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/awslabs-hcls-agent-skills/install
Install command: npx skills add awslabs/hcls-agent-skills
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/awslabs-hcls-agent-skills/install
LLM text format
/api/skills/awslabs-hcls-agent-skills/install?format=text
Find alternatives
/api/skills/search?q=Hcls%20Agent%20Skills&limit=3
Agent prompt
Use Hcls Agent Skills for this task. Review https://www.openagentskill.com/api/skills/awslabs-hcls-agent-skills/install, then install with: npx skills add awslabs/hcls-agent-skillsRegistry metadata
Agent-readable profile for automatic skill selection.
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/awslabs-hcls-agent-skills
LLM text
/api/registry/manifest/awslabs-hcls-agent-skills?format=text
Install alias
/api/registry/install/awslabs-hcls-agent-skills
Recommend
/api/registry/recommend?task=Use%20Hcls%20Agent%20Skills%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Python, Claude Code, OpenAI Agents, LangChain
Audit report
Needs review · 82/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Fallback candidate for Research agents
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Research agents
Trust label
Prototype first
Install path
Command ready
Use when
- Research agents workflows
- Claude Code teams
- builders willing to evaluate younger projects
Evidence
- recent repository activity
- install command or GitHub repo available
- 68/100 quality profile
- 1 OpenAgentSkill engagement events
review first
- Low GitHub adoption signal
Implementation path
- 1Install it in a sandbox agent and run one Research agents task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Sandbox only
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
FIX10 GitHub stars
Stars/forks activity
FIX10 stars, 4 forks; issue activity unavailable in current metadata
Recent maintenance
PASS12d since push
License clarity
PASSMIT-0
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Install command has no obvious high-risk pattern
- Outcome loop is ready but needs first real agent run
Review before install
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 10 GitHub stars
- Stars/forks activity: 10 stars, 4 forks; issue activity unavailable in current metadata
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Promising candidate for agent workflows
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Use this skill in these scenarios
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Operate web apps
Browser automation
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Add it to a complete workflow
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Compare before you install
Similar skills that may fit this task.
Last30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GPT Researcher
Run autonomous deep research over web and local sources
Deep Research
An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the simplest implementation of a deep research agent - e.g. an agent that can refine its research direction overtime and deep dive into a topic.
Overview
# Agent Skills for Healthcare & Life Sciences
[](./LICENSE) [](./skills/) [](./skills/) [](#platform-compatibility)
A curated collection of agent skills for healthcare and life sciences (HCLS) workflows, following the [Agent Skills open standard](https://agentskills.io). **These 39 domain skills make any AI agent measurably better at HCLS questions.** In a [410-prompt pairwise evaluation](./eval/TECHNICAL_REPORT.md) (380 single-skill + 30 cross-skill) judged by Claude Opus 4.7, skills win **70–86%** of head-to-head comparisons depending on harness, with **up to 85% critical thinking** and **up to 87% scientific accuracy** win rates. Skills work on 20+ platforms including Kiro, Amazon Quick, Amazon Bedrock AgentCore, AWS Strands SDK, Claude Code, OpenAI Codex, CrewAI, LangChain, and more.
Skills fall into two categories: **reasoning skills** encode methodology, decision frameworks, and domain expertise to guide the agent's thinking (e.g., ACMG variant classification, target trial emulation, HEDIS measure specification); **pipeline skills** encode tool-specific commands, code patterns, and parameter tables that produce runnable artifacts (e.g., GATK4 variant calling, RDKit cheminformatics, HL7v2 parsing). Together they make any AI agent a competent collaborator across [genomics](#genomics), [single-cell analysis](#single-cell-analysis), [medical imaging](#medical-imaging), [protein structure](#protein-structure), [translational research](#cross-domain), [pharmacoepidemiology](#pharmacoepidemiology--real-world-data), [clinical data](#clinical-data), [drug discovery](#drug-discovery), [proteomics](#proteomics), [clinical data review](#clinical-data-review), [multi-omi
Platform compatibility
Technical details
- Version
- 1.0.0
- License
- MIT-0
- Last updated
- Jul 22, 2026
- Published
- Jul 22, 2026
Frameworks & tools
Decision snapshot
Fallback candidate
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 89/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- Success rate
- —
- Recent failure
- —
- Outcomes
- 0
- Output quality
- —
- Failed
- 0
- Not relevant
- 0
- Installs
- 0
- Risk blocked
- 0
- Setup needed
- 0
- Production
- 0
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Add to agent workflow
Free and open source. Review the report before installing into production agents.
Growth loop
Share kit
Scenario-led draft for Hcls Agent Skills, ready for a manual X post.
A practical pick for source-backed research: Hcls Agent Skills: Curated collection of 39 agent skills for healthcare and life sciences workflows, installable via the Agent Skills standard. 10 stars https://www.openagentskill.com/skills/awslabs-hcls-agent-skills?ref=x
Optional reply with install command
Listing + install path for Hcls Agent Skills: https://www.openagentskill.com/skills/awslabs-hcls-agent-skills?ref=x Install: npx skills add awslabs/hcls-agent-skills
Listing source
Community indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- awslabs
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This Community indexed listing is attributed to awslabs but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Add the evidence badges to your README
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/awslabs-hcls-agent-skills)
[](https://www.openagentskill.com/skills/awslabs-hcls-agent-skills)
[](https://www.openagentskill.com/skills/awslabs-hcls-agent-skills/audit)
[](https://www.openagentskill.com/skills/awslabs-hcls-agent-skills)Author
awslabs
@awslabs
Platform fit
Health signals
- GitHub stars
- 10
- Quality score
- 42/100
- Last GitHub push
- Jul 22, 2026
- Framework hints
- 1
- OpenAgentSkill views
- 1
- Install copies
- 0
- Outbound clicks
- 0
Community signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & safety
Sandbox only
- GitHub adoption10 GitHub starsFIX
- Stars/forks activity10 stars, 4 forks; issue activity unavailable in current metadataFIX
- Recent maintenance12d since pushPASS
- License clarityMIT-0PASS
- README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
- Dependency/runtime riskno major dependency risk hints in public metadataPASS
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