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myvyang

Source Research

by kamael · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
216
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1
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1
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Install in OpenClaw
/install source-research
Description
Build and maintain a reusable source-research system for discovering source pools, evaluating whether they are worth ongoing investment, defining efficient a...
Usage Guidance
This skill appears internally consistent and does not request credentials or external network access. It will create and write files under a .source-research/ directory in the workspace (the bundled scripts simply copy provided templates). If you install it: - be aware it will persist artifacts to your workspace; review created files if you have sensitive data in the same repo. - the init script requires Python on PATH if the agent or you run it. - if you prefer manual control, run the initializer yourself rather than allowing autonomous agent invocation. Overall the package looks coherent for the stated purpose.
Capability Analysis
Type: OpenClaw Skill Name: source-research Version: 1.0.0 The source-research skill bundle provides a structured framework for an AI agent to discover, evaluate, and document information sources. It includes a Python script (scripts/init_source_research.py) that safely initializes a local workspace directory (.source-research/) by copying a template from the assets folder. The instructions and methodology are consistent with the stated purpose of organizing research artifacts, and no indicators of data exfiltration, malicious execution, or harmful prompt injection were found.
Capability Assessment
Purpose & Capability
Name/description describe building a source-research system; the package contains framework references, templates, and a small initialization script which are all appropriate for that purpose. No unrelated credentials, binaries, or external services are requested.
Instruction Scope
SKILL.md instructs the agent to read bundled references and to store artifacts in a dedicated .source-research directory. It does not instruct the agent to read unrelated system files, environment variables, or transmit data to external endpoints. The guidance to record discovered pools during other tasks is part of the stated scope.
Install Mechanism
No install spec is provided (instruction-only). The only code file is a small Python script bundled with the skill; nothing is downloaded from external URLs and no archives are extracted.
Credentials
The skill requests no environment variables, no credentials, and no config paths. The only runtime action that could require a binary is invoking Python to run the included init script; that is proportional to the script's purpose.
Persistence & Privilege
The skill will write a .source-research directory into the workspace (via the bundled init script or by the agent creating files). Autonomous invocation is allowed by default (normal for skills) — this increases the blast radius only in the sense that an agent could create or update files without manual steps, but that behavior is coherent with the skill's purpose.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install source-research
  3. After installation, invoke the skill by name or use /source-research
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the source-research skill with a reusable framework for discovering, evaluating, filtering, and managing information/source pools. - Defines a structured storage standard in a canonical `.source-research/` directory, with clear categories for pools, acquisition, filtering, source lists, information, rejections, and programs. - Outlines step-by-step workflows for discovering new pools, revisiting existing ones, manual vs. automated collection, and confirming pool value. - Provides default operating rules to ensure efficient and non-redundant source research. - Emphasizes creating and standardizing reusable artifacts for future agents, not just chat-based suggestions. - Includes references to support methodology, artifacts, storage, and organization.
Metadata
Slug source-research
Version 1.0.0
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Source Research?

Build and maintain a reusable source-research system for discovering source pools, evaluating whether they are worth ongoing investment, defining efficient a... It is an AI Agent Skill for Claude Code / OpenClaw, with 216 downloads so far.

How do I install Source Research?

Run "/install source-research" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Source Research free?

Yes, Source Research is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Source Research support?

Source Research is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Source Research?

It is built and maintained by kamael (@myvyang); the current version is v1.0.0.

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