← Back to Skills Marketplace
Meaningful Chunker
by
DaymyanDogg
· GitHub ↗
· v1.2.2
· MIT-0
139
Downloads
1
Stars
0
Active Installs
3
Versions
Install in OpenClaw
/install meaningful-chunker
Description
Graph-based code intelligence API. Query any indexed codebase for architecture understanding, debugging, refactor safety analysis, and design principle mappi...
Usage Guidance
This skill appears internally consistent with a hosted code-analysis service. Before installing or using it: (1) Do not upload private/proprietary code to the public hosted endpoint unless you trust the operator or have a written agreement/privacy policy; scanning a repo or local path transmits code to CHUNKER_API_URL. (2) Prefer using a self-hosted instance if you need to analyze sensitive code. (3) Treat CHUNKER_API_KEY as a secret — use least-privilege or ephemeral keys if available and rotate them regularly. (4) Verify the CHUNKER_API_URL and registration endpoints (the README references a railway.app host) before entering keys, and test with non-sensitive public repos first. (5) Review the service's data retention and deletion policy so cloned/processed code is not stored longer than you expect.
Capability Analysis
Type: OpenClaw Skill
Name: meaningful-chunker
Version: 1.2.2
The 'meaningful-chunker' skill is a documentation-based bundle that provides instructions for an AI agent to interact with a graph-based code intelligence API. It facilitates codebase scanning and natural-language querying for architectural analysis and debugging. The instructions in SKILL.md are transparent, well-structured, and align perfectly with the stated purpose. While the tool involves sending code to a third-party API (meaningful-chunker-production.up.railway.app), this is the core functionality of the service and is clearly documented. No evidence of malicious intent, credential theft, or prompt injection was found.
Capability Tags
Capability Assessment
Purpose & Capability
Name/description match the declared requirements: it is an API-backed code-intelligence tool and it only asks for a base URL and API key (CHUNKER_API_URL, CHUNKER_API_KEY). No unrelated binaries, env vars, or installs are requested.
Instruction Scope
Instructions are focused on scanning a repo and querying the API. Important operational detail: POST /scan clones or uploads repositories (or accepts a local project_path for self-hosted instances), which effectively transmits repository contents to the remote service. This is expected for the stated purpose but is a privacy/data-exfiltration consideration you must accept before scanning private code.
Install Mechanism
No install spec and no code files — instruction-only skill. Nothing will be written to disk by the skill itself during install, which reduces supply-chain risk.
Credentials
Only two env vars are required (API base URL and API key); this is proportionate. CHUNKER_API_KEY is the primary credential and grants the ability to scan and query codebases on the remote host, so treat it as highly sensitive.
Persistence & Privilege
Skill is not always-enabled and uses normal model-invocation defaults. It does not request or imply modification of other skills or system-wide configuration.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install meaningful-chunker - After installation, invoke the skill by name or use
/meaningful-chunker - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.2.2
meaningful-chunker v1.2.2
- Updated environment variable documentation to specify free usage limits (100 queries/month, resets monthly) and Pro upgrade (2,000/month).
- Clarified that no credit card is required for a free API key.
- No functional or API changes. Documentation improvement only.
v1.2.1
- Updated setup instructions to include direct links for obtaining a free or Pro API key.
- Clarified that the API key is required and added details on where to register for access.
- No changes to version number or core functionality.
- Documentation improvements only; no code changes detected.
v1.2.0
- Major documentation update: SKILL.md now provides comprehensive setup instructions, usage guidelines, endpoint details, and response explanations.
- Added step-by-step quick start, authentication info, and environment variable requirements.
- Clarified how to scan codebases and check scan progress before querying.
- Detailed the intent and usage for all four query endpoints: architecture, debug, refactor, and philosophy.
- Included practical curl command examples for every workflow step.
- Introduced a Quick Read Guide and deeper explanation of response fields and context tiers for faster, more accurate results.
Metadata
Frequently Asked Questions
What is Meaningful Chunker?
Graph-based code intelligence API. Query any indexed codebase for architecture understanding, debugging, refactor safety analysis, and design principle mappi... It is an AI Agent Skill for Claude Code / OpenClaw, with 139 downloads so far.
How do I install Meaningful Chunker?
Run "/install meaningful-chunker" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Meaningful Chunker free?
Yes, Meaningful Chunker is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Meaningful Chunker support?
Meaningful Chunker is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Meaningful Chunker?
It is built and maintained by DaymyanDogg (@daymyandogg); the current version is v1.2.2.
More Skills