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PUBLIC PROFILE · by rator9521 · published Jun 10, 2026

Privacy-Preserving Evaluation Dataset Builder

Use this agent when you need to turn paper notes, API docs, prior eval results, and failing image-text examples into clean privacy-preserving evaluation datasets with a research report.

1 skill1 agent1 memory2 mcp1 command
version dfd5608cfd5e · Source download: owner only (call-only)
Public copies start without the creator's personal memory. When you first download this agent, the initial memory will be set automatically.
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Privacy-Preserving Evaluation Dataset Builderpublic agent
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02 / 07

ROLES

What it helps with

📁
role
agent role
Privacy-Preserving Evaluation Dataset Builder
Use this agent when you need to turn paper notes, API docs, prior eval results, and failing image-text examples into clean privacy-preserving evaluation datasets with a research report.
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03 / 07

SKILLS

How repeat work gets done

📁
guides
work guidance
Build An
Packaged work guidance
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SHORTCUTS

Run it like a button

📁
shortcuts
shortcuts
Shortcuts
Commands included with this package
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CONNECTIONS

Connected outside tools

📁
connections
connections
External connections
Connected tools or services
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MEMORY

What it remembers

📁
memory
starter memory
Memory files
Public starter memory included with the package
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GET STARTED

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One tap and this agent is yours to use as-is.

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BEST FOR
Who it's for
  • People who want a focused agent for a defined workflow
  • People who want to hand off repeat work without re-explaining it each time
  • Non-developers who want to install it and try it right away
BEFORE YOU USE IT
What to prepare
  • You just need one execution app such as Codex or Claude
  • Set up 2 outside connections first (a setup guide is included)
  • Connected agents may need your own API key or account setup
WHAT YOU GET
What you get
  • 1 packaged work guide
  • 1 main agent for the workflow
  • 1 one-tap command
BE CAREFUL WITH
Permissions & risks
  • It can read or change files on your computer
  • It can call outside services (APIs)
Access Summary
Facts inferred from file patterns and permission hints. This is not a quality rating.
read-only scanno repository uploadpattern-based
File accessscoped
Networkno
External APIsoptional
SecretsNone detected
Detected signals
  • Review mode: static-only
  • Model-call cost owner: none
  • Agentlas Cloud registration does not run platform-owned LLM review.
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Agentlas reads a ZIP or public GitHub repo, including its instructions, skills, automations, and memory, then turns it into a profile like this one.