Knowledge Graph
v1.0.0Maintain Clawdbot's compounding knowledge graph under life/areas/** by adding/superseding atomic facts (items.json), regenerating entity summaries (summary.md), and keeping IDs consistent. Use when you need deterministic updates to the knowledge graph rather than manual JSON edits.
⭐ 5· 5.1k·79 current·86 all-time
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description match the provided artifacts: SKILL.md describes adding/superseding facts and regenerating summaries and the repository includes a Python script (scripts/kg.py) to perform those actions. There are no unexplained environment variables, binaries, or external services required.
Instruction Scope
SKILL.md instructs running the bundled Python script to operate on files under life/areas/** (items.json and summary.md). This is in-scope for the stated purpose. Note: the instructions do not mention backups, dry-run mode, or how the script handles errors/partial writes — review scripts/kg.py to confirm it doesn't read or modify unrelated paths or exfiltrate data.
Install Mechanism
No install spec; the skill is instruction-only with a bundled Python script. That is low-risk from an install perspective because nothing is downloaded or extracted at install time.
Credentials
The skill requests no environment variables, credentials, or config paths. That matches the file-based description and is proportionate for a tool that edits repository files.
Persistence & Privilege
The skill does not set always:true (so it will not be force-included), but it also does not set disableModelInvocation, meaning the model could invoke it autonomously. Because it writes to repository files, you should consider whether you want the model to be able to run this script without explicit user confirmation.
Assessment
This skill appears coherent and limited to editing the repository's life/areas/** data, but review the bundled script (scripts/kg.py) before use. Confirm it only writes to the intended entity paths, check for any network calls or access to unrelated files, and test on a copy or branch first (or ensure you have a git backup). If you prefer tighter control, consider disabling model-autonomous invocation or requiring explicit user consent before running the script.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.