Adaptive Rag Engine
v1.0.0Adaptive RAG 引擎 — 从线性检索到自主认知循环。集成胶囊预筛选、智能路由、CRAG纠错、L3校验。当需要搜索记忆/检索信息/回答复杂问题时触发。关键词：RAG、检索、记忆搜索、向量检索、Agentic RAG、CRAG。
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
Capability signals
These labels describe what authority the skill may exercise. They are separate from suspicious or malicious moderation verdicts.
OpenClaw
Benign
high confidencePurpose & Capability
Name/description (Adaptive RAG engine) match the provided artifacts: two small Python helper scripts (index builder and relevance evaluator) plus an instruction file describing routing, pre-filtering and evaluation. The skill claims integrations (vector search, bge‑m3, Phoenix memory bridge) but does not embed any external-client code — it acts as an orchestration/protocol layer and expects existing tools to provide vector search and memory storage. This design is coherent, though some high-level capabilities (e.g., bge‑m3 search, Active Memory ↔ Phoenix bridge) are described but not implemented in the included files — they are expected to exist elsewhere.
Instruction Scope
SKILL.md explicitly instructs the agent to read local protocol and memory files: rules/adaptive-rag-protocol.md and memory/topics/.capsule-index.json, and to run scripts under ~/.openclaw/workspace/skills/adaptive-rag-engine/scripts. Reading those files is expected for a RAG/navigation skill, but it is file-system access to user workspace data. Also SKILL.md states it is a "protocol layer" that "does not require explicit invocation" while registry flags show always:false — this is a minor inconsistency in intended activation semantics (not an immediate security problem, but worth noting).
Install Mechanism
No install spec (instruction-only plus two simple scripts) — low install risk. Scripts are small, readable Python files with no downloads or network calls. Minor manifest mismatch: registry metadata lists no required binaries, but the SKILL.md header declares python3 as required; python3 is reasonable for the provided scripts.
Credentials
The skill requests no environment variables or external credentials. The only resources accessed are local files under the user's OpenClaw workspace (~/.openclaw/workspace/memory and rules). That level of filesystem access is proportionate to the stated purpose of building/reading a capsule index and evaluating retrieval quality.
Persistence & Privilege
Skill is not marked always:true and does not request to modify other skills or system settings. Autonomous invocation (disable-model-invocation:false) is platform default; the SKILL.md's claim of acting as a protocol layer without explicit invocation contrasts with the actual flags but does not create extra privileges in the bundle itself.
Assessment
This skill appears to be a local orchestration/protocol layer for retrieval and is internally consistent, but before enabling you should: (1) Inspect the contents of rules/adaptive-rag-protocol.md and the files under ~/.openclaw/workspace/memory/topics to ensure they don't contain sensitive secrets you don't want the agent to read. (2) Note that vector search and memory bridging are not implemented here — the skill expects external components (e.g., a memory_search tool, bge‑m3 backend, Phoenix memory) to be present and may rely on their credentials; verify how those integrations are wired elsewhere. (3) Be aware of the SKILL.md claim that it is a protocol layer that 'does not require explicit invocation' — confirm how your platform will activate the skill (it is not always:on by default). (4) If you plan to run the included scripts, run them in a safe environment or inspect them (they are small and readable) — they only read/write files under your ~/.openclaw workspace and do not perform network I/O. If you need tighter assurance, request the full protocol/routing implementation or provenance for the vector/memory backends the skill expects.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.