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Skillv0.1.3

ClawScan security

ClawGraph · ClawHub's context-aware review of the artifact, metadata, and declared behavior.

Scanner verdict

SuspiciousApr 6, 2026, 8:42 AM
Verdict
suspicious
Confidence
medium
Model
gpt-5-mini
Summary
The skill's declared requirements (clawgraph binary + OPENAI_API_KEY) match a memory/knowledge-graph purpose, but the runtime instructions proactively store user facts (including potentially sensitive information) without clear consent or redaction rules and the install uses an unfamiliar package installer; these design choices are coherent but raise privacy and supply-chain concerns.
Guidance
This skill is coherent with a memory/knowledge-graph tool, but it instructs the agent to automatically persist user-provided facts. Before installing: (1) Review the upstream package source (the GitHub homepage) and verify the package comes from a trusted registry and author; (2) Confirm what 'uv' installer is and whether the package will run arbitrary code on your machine; (3) Understand and audit ~/.clawgraph/data and ~/.clawgraph/config.yaml (where data is persisted and how it is protected); (4) Decide and enforce policies to avoid storing secrets or sensitive PII (explicit user consent, redaction rules, and retention/deletion policies); (5) Consider using a test account / sandbox and a rotated OPENAI_API_KEY when evaluating; (6) If you require stronger privacy, request or implement encryption-at-rest and explicit confirm-before-write behavior in the tool or agent instructions.

Review Dimensions

Purpose & Capability
okName and description describe a persistent memory/knowledge-graph. The required binary (clawgraph) and single env var (OPENAI_API_KEY) are consistent with a tool that uses an LLM-backed extractor and a local CLI. The skill does not request unrelated credentials or surprising binaries.
Instruction Scope
concernSKILL.md instructs the agent to proactively store 'durable' user facts even without an explicit 'remember' command and to 'preserve the user's phrasing'. There are no guardrails about excluding secrets/sensitive PII, requiring explicit user consent, or retention/erasure policies. This means the agent may persist passwords, tokens, medical or financial details, or other sensitive data unless callers add protections.
Install Mechanism
noteInstall spec uses an installer kind labeled 'uv' and package 'clawgraph==0.1.3', producing a clawgraph binary. No direct URL is provided. Writing an unpacked binary to disk is expected for a CLI tool, but 'uv' is an uncommon installer label in public registries—verify the package source/registry and integrity before installing.
Credentials
okOnly OPENAI_API_KEY is required and is declared as the primary credential, which aligns with the SKILL.md statement that ClawGraph uses OpenAI-compatible models. No unrelated credentials or broad environment access are requested.
Persistence & Privilege
noteThe tool stores data persistently at ~/.clawgraph/data and uses a user config at ~/.clawgraph/config.yaml. always:false (not forced) and autonomous invocation is allowed (platform default). Persistent local storage is expected for a memory skill, but combined with the instruction to auto-store facts, it increases privacy risk; there is no mention of encryption, access controls, or retention.