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sebastianffx

๐Ÿค–๐Ÿค๐Ÿง  better collab with your agent

by Sebastian Otรกlora ยท GitHub โ†— ยท v1.0.0
cross-platform โš  suspicious
1765
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Install in OpenClaw
/install user-cognitive-profiles
Description
Analyze ChatGPT conversation exports to discover cognitive archetypes and optimize AI-human communication patterns. Enables personalized agent interactions based on detected user profiles.
Usage Guidance
This package mostly does what it says โ€” it analyzes your ChatGPT export locally and produces a profile โ€” but there are a few things to check before running: 1) Review requirements.txt vs SKILL.md: decide whether you want to install scikit-learn/numpy/PyYAML (they are listed as core deps in requirements.txt but described as optional/recommended in the docs). 2) Be cautious with test_wildchat.py โ€” it loads a large external dataset (allenai/WildChat-1M) via the datasets library and will perform network I/O; don't run it if you want strictly local processing. 3) The tool writes output and may create ~/.openclaw/* files; inspect those paths or change them to a location you control. 4) Inspect the scripts if you have sensitive data: the analyzer code appears local (no hidden remote endpoints), but always examine third-party dependencies you install. Recommended: run the analyzer in an isolated virtualenv (or container), review scripts/analyze_profile.py and test_wildchat.py yourself, and avoid running test scripts that pull external datasets unless you intend to.
Capability Analysis
Type: OpenClaw Skill Name: user-cognitive-profiles Version: 1.0.0 The skill `user-cognitive-profiles` is designed for local analysis of ChatGPT conversation exports to identify user cognitive archetypes. The `SKILL.md` and `README.md` provide clear, benign instructions for the user and do not contain any prompt injection attempts against the OpenClaw agent. The core scripts (`analyze_profile.py`, `compare_profiles.py`) perform local file I/O for input/output (e.g., `conversations.json`, `profile.json`) and do not exhibit any network communication, arbitrary shell execution, or access to sensitive system files. The `test_wildchat.py` script legitimately accesses the public 'allenai/WildChat-1M' dataset for testing purposes, which is not a security concern. All processing is local, aligning with the privacy claims in the documentation.
Capability Assessment
โ„น Purpose & Capability
The name/description match the code: scripts analyze ChatGPT conversation exports and produce a profile to tune agents. Requesting python3 is appropriate. Minor inconsistency: SKILL.md/README state that only the standard library is required (scikit-learn/numpy are listed as recommended), but requirements.txt lists scikit-learn, numpy, and PyYAML as core dependencies โ€” unclear which packages are actually required for normal runs.
โ„น Instruction Scope
Primary runtime instructions (export ChatGPT data, run scripts/analyze_profile.py) are coherent and limited to local processing of conversations.json. However: (1) the package includes test_wildchat.py which instructs downloading/streaming the external 'allenai/WildChat-1M' dataset (network activity and thirdโ€‘party data access) but SKILL.md doesn't mention this test script; (2) the scripts write output to a home config path (~/.openclaw/...), which the metadata did not declare as a required config path. These are scope surprises rather than obvious malicious behavior.
โ„น Install Mechanism
No install spec in the skill manifest (instruction-only). There is a requirements.txt and README instructs 'pip3 install -r requirements.txt' โ€” that will install scikit-learn/numpy/PyYAML per the file. This is a normal Python dependency install, but the manifest's claim that only the standard library is required contradicts requirements.txt. No remote or obfuscated installers were found; the package appears to rely on standard PyPI packages.
โœ“ Credentials
The skill does not request environment variables or credentials. It processes local ChatGPT exports and generates a JSON profile. One proportionality note: scripts and SKILL.md write output to ~/.openclaw/my-cognitive-profile.json and allow creating ~/.openclaw/my-archetypes.yaml โ€” the manifest did not list required config paths, so users should be aware the tool will create/read files in the user's home directory.
โœ“ Persistence & Privilege
The skill does not request always:true, elevated privileges, or modify other skills. It is user-invocable and can be run locally. Autonomous invocation is allowed by default for skills on the platform, but nothing in the package indicates forced or hidden persistence.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install user-cognitive-profiles
  3. After installation, invoke the skill by name or use /user-cognitive-profiles
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release โ€“ analyze ChatGPT conversations to identify cognitive archetypes and optimize AI-human communication. - Processes exported ChatGPT conversation history to detect user communication patterns. - Generates a cognitive profile output (JSON) with archetype breakdowns, communication metrics, and actionable insights. - Supports configuration of custom archetypes and adjustable analysis granularity. - Enables integration with OpenClaw agent profiles for personalized AI interactions. - All analysis runs locally; no data is uploaded or shared automatically.
Metadata
Slug user-cognitive-profiles
Version 1.0.0
License โ€”
All-time Installs 2
Active Installs 2
Total Versions 1
Frequently Asked Questions

What is ๐Ÿค–๐Ÿค๐Ÿง  better collab with your agent?

Analyze ChatGPT conversation exports to discover cognitive archetypes and optimize AI-human communication patterns. Enables personalized agent interactions based on detected user profiles. It is an AI Agent Skill for Claude Code / OpenClaw, with 1765 downloads so far.

How do I install ๐Ÿค–๐Ÿค๐Ÿง  better collab with your agent?

Run "/install user-cognitive-profiles" in the OpenClaw or Claude Code chat to install it in one step โ€” no extra setup required.

Is ๐Ÿค–๐Ÿค๐Ÿง  better collab with your agent free?

Yes, ๐Ÿค–๐Ÿค๐Ÿง  better collab with your agent is completely free (open-source). You can download, install and use it at no cost.

Which platforms does ๐Ÿค–๐Ÿค๐Ÿง  better collab with your agent support?

๐Ÿค–๐Ÿค๐Ÿง  better collab with your agent is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created ๐Ÿค–๐Ÿค๐Ÿง  better collab with your agent?

It is built and maintained by Sebastian Otรกlora (@sebastianffx); the current version is v1.0.0.

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