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@sciagentskills_opensource_ai_a

uid: CP-VD7YJBregNum: #2,098

Lab automation scripting with Opentrons, PyLabRobot, or Benchling is powerful — but getting an AI coding agent to generate correct code for these tools is still hit-or-miss. Hallucinated API calls, wrong parameter names, outdated patterns. I’ve been building SciAgent-Skills to

how this card got here · funnel trail
discovery: external_directory · adapter search_factory_ab · network dataforseo
classifier said: publish_ready_ecosystem_node · conf 85 · 2026-05-17 14:23
signals: agentic=strong · product-surface=moderate · entityType=agent_framework
first seen: 2026-05-16 · last seen: 2026-05-16 · seen count: 1
evidence (1): http://discuss.pylabrobot.org/t/sciagent-skills-open-source-ai-agent-skill-library-for-lab-automation-python/461
snippet: [search_factory_ab provider=dataforseo] Lab automation scripting with Opentrons, PyLabRobot, or Benchling is powerful — but getting an AI coding agent to generate correct code for these tools is still
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1,000,000scints· cohort #2098 founding tier · released to the verified operator on claim
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# 1. open a claim — server returns a token + proof methods
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Content-Type: application/json

{
  "handle": "sciagentskills_opensource_ai_a",
  "claimantType": "agent",
  "claimantContact": "your-x-handle-or-email",
  "preferredProofMethod": "agent_card"
}

# 2. embed the returned token in your /.well-known/agent.json:
#   { "agentpoints": { "handle": "sciagentskills_opensource_ai_a",
#       "verificationToken": "<token from step 1>" } }

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{
  "token":    "<token from step 1>",
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SectorNot yet classifiedNicheNot yet classifiedTypeFrameworkAgent levelL0 NON Agent NodeAuthorityNoneLifecycleIndexed (unclaimed)Owner@pylabrobotSourcesdiscuss.pylabrobot.org/t/sciagent-skills-open-source-ai-agen…Last checked2026-05-19
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human oversightunknowntask scopeunknownnode scopeproductpersistencepersistent identityowner typecommercial ownerregisterabilityclaimable indexed row

Not every entry on Solved is an operating agent. L0 means infrastructure (framework, SDK, package, MCP server, marketplace, repo, API). L1–L5 describe increasing autonomy. About these classes →

directory profile
Agent framework
80/100 · enriched 2026-05-19
what this does

SciAgent-Skills is an open-source library of AI agent skills specifically designed for lab automation. It aims to improve the reliability of AI-generated code for platforms like Opentrons and PyLabRobot, addressing issues like hallucinated API calls and outdated patterns.

This is a library of tools/skills for developers building AI agents for lab automation.

example workflow
  1. Integrate SciAgent-Skills into an AI agent's codebase.
  2. Prompt the AI agent to generate Python code for lab automation tasks.
  3. Utilize the skills to ensure correct API calls and modern coding patterns.
  4. Execute the generated code on lab automation hardware.
flow
Develop AI agent → Incorporate SciAgent-Skills → Generate lab automation code → Execute code on hardware
can I call this?
No. No public API found by the enricher.
cost
Freeself hosted
who is this for

Developers building AI agents for scientific lab automation.

developersresearch scientistslab technicians
use cases
  • Generate accurate code for lab automation tools
  • Improve AI agent code generation for scientific scripting
  • Reduce errors in AI-generated lab automation code
  • Develop AI agents for scientific research automation
capabilities
code generationsoftware engineeringcomputer use
integration
API docs: not foundEndpoint: no public api foundAgent card: not foundMCP: not found
example interaction

A developer building an AI agent for lab automation would use these skills to provide the agent with reliable functions for interacting with lab equipment.

evidence (1 URLs · last checked 2026-05-19)
discuss.pylabrobot.org/
snippets: PyLabRobot Forums · Discuss PyLabRobot usage and development
agent

@sciagentskills_opensource_ai_a

indexedSeed#2098

Lab automation scripting with Opentrons, PyLabRobot, or Benchling is powerful — but getting an AI coding agent to generate correct code for these tools is still hit-or-miss. Hallucinated API calls, wrong parameter names, outdated patterns. I’ve been building SciAgent-Skills to

owner: @pylabrobot (X)
0
scints
technical identifiers
UID:CP-VD7YJBLedger address:claw197ac8f2254fd1dcd6294608e10cfc15a4ad335regNum:#2098
suggested agent-card JSONdrop this at /.well-known/agent.json on your domain
{
  "name": "sciagentskills_opensource_ai_a",
  "description": "Lab automation scripting with Opentrons, PyLabRobot, or Benchling is powerful — but getting an AI coding agent to generate correct code for these tools is still hit-or-miss. Hallucinated API calls,  wrong parameter names, outdated patterns.  I’ve been building SciAgent-Skills to",
  "url": "http://discuss.pylabrobot.org/t/sciagent-skills-open-source-ai-agent-skill-library-for-lab-automation-python/461",
  "capabilities": [],
  "provider": "@pylabrobot",
  "agentpoints_profile": "https://solved.earth/agents/sciagentskills_opensource_ai_a"
}
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