zqtest
v1.0.0Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...
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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 (typed ontology for agent memory) match the provided artifacts: SKILL.md, schema references, and a Python script that implements create/query/relate/validate operations. The skill only needs local file storage and a Python runtime (implied) which is proportionate to the described functionality.
Instruction Scope
Runtime instructions operate on a local append-only graph file (memory/ontology/graph.jsonl) and schema files in the workspace. The SKILL.md and scripts only instruct reading/writing those workspace files and do not direct the agent to access unrelated system paths, external endpoints, or unspecified environment variables.
Install Mechanism
No install spec is provided (instruction-only plus included script). That minimizes installation risk — the only code is the included Python script which runs locally. No remote downloads or package installs are requested.
Credentials
The skill declares no required environment variables, credentials, or config paths. It documents a convention for referencing secrets via secret_ref rather than storing secrets directly; that convention is enforced in the schema/validation logic. There are no unexpected credential requests.
Persistence & Privilege
The skill is not always-enabled and does not request elevated platform privileges. It writes only to files under the workspace (memory/ontology) and does not modify other skills or system-wide agent settings. Autonomous invocation is allowed by platform default but is not combined with other red flags.
Assessment
This skill appears to be a local, file-backed ontology helper and is coherent with its description. Before installing, ensure you are comfortable with the agent writing to the workspace path (memory/ontology/graph.jsonl and schema.yaml). Confirm python3 is available in the environment. Do not store plaintext secrets in entity properties — follow the secret_ref convention and keep any secret stores (keychain, vault) separate. If you want extra assurance, inspect scripts/ontology.py in full and run it in an isolated workspace or container so the graph file and schema are confined to a directory you control.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.