Milvus Skill
v0.0.2Operate Milvus vector database with pymilvus Python SDK. Use when the user wants to connect to Milvus, create collections, insert vectors, perform similarity...
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byShuyoou@zhanshuyou
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 SKILL.md and reference docs — all examples and operations relate to connecting to Milvus, collection and vector management, indexing, partitions, databases, and RBAC.
Instruction Scope
Instructions stay within the Milvus domain. They repeatedly instruct the agent to ask the user for connection details before connecting and do not instruct the agent to read unrelated local files or secrets. Examples include destructive actions (drop/truncate) but explicitly recommend confirming with the user.
Install Mechanism
No install spec or downloaded code — this is instruction-only and only recommends installing pymilvus (pip). There is no archive download or external install mechanism in the skill bundle itself.
Credentials
The skill requests no environment variables or credentials itself. It does show examples that accept user-supplied URIs, tokens, usernames/passwords and optionally use external embedding services (OpenAI or built-in models). Those external API keys are expected for those optional integrations but are not declared here; the skill correctly instructs to ask the user for credentials before using them.
Persistence & Privilege
Skill is not force-installed (always: false) and uses the platform default for autonomous invocation. It does not request system-wide config paths or try to modify other skills. It contains examples that will perform admin operations on a Milvus instance if given credentials — which is appropriate for a DB operator skill but requires user confirmation before destructive actions.
Assessment
This skill is an instruction-only reference for using pymilvus and appears coherent with that purpose. Before installing or allowing autonomous use: (1) Understand that you will need to provide Milvus connection credentials (host/port, token or username/password) to actually run operations — only supply those to trusted agents or when you intend the agent to act on your database. (2) Examples show destructive DB ops (drop/truncate); confirm such actions with the agent before execution. (3) If you plan to use external embedding services (e.g., OpenAI) the skill's examples will require additional API keys and network access — those keys are not requested by the skill itself, so manage them according to your security policies. (4) Because the skill can perform admin-level DB operations when given credentials, limit its permissions (use least privilege) on production systems.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.