Skill flagged — suspicious patterns detected
ClawHub Security flagged this skill as suspicious. Review the scan results before using.
semantic-search
v1.0.0企业级语义检索技能,支持表格/字段/文件搜索和 Text-to-SQL 数据生成
⭐ 1· 375·2 current·2 all-time
by@sevenal
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Suspicious
medium confidencePurpose & Capability
The skill name/description (enterprise semantic search, Text-to-SQL) aligns with the artifacts: it requires FlightSQL connection info and includes vector DB, retriever, and text2sql code. Minor mismatch: SKILL metadata declares only FLIGHT_DB_* as required env vars while documentation and code reference LLM/embedding/rerank configuration (LLM_API_KEY, EMBEDDING_API_KEY, base_url, etc.). This is plausible (DB credentials are mandatory; LLM/embedding may be optional or use local services), but the omission reduces clarity.
Instruction Scope
The runtime code and SKILL.md instruct the agent to read env vars and config files (config.yaml/.env) which is expected. However, main.py and other modules dynamically add parent project paths to sys.path and attempt to import utils.config.CONFIG from a project-level location — this can cause the skill to load configuration from outside the skill bundle (project configs, Nacos configs, or other local files), potentially exposing or using host-level secrets and endpoints. SKILL.md also references a test module (python -m src.test_search) that is not present in the bundle, indicating documentation/code drift.
Install Mechanism
There is no install spec (instruction-only for OpenClaw) and dependencies are listed in requirements.txt. That is lower installer risk than arbitrary downloads, but the dependency list includes non-trivial packages (dashscope, FlagEmbedding, bge-reranker, lancedb, adbc-driver-flightsql) which will pull code from PyPI and may require native builds or network access. No packaged install from unknown URLs was observed.
Credentials
Declared required env vars (FLIGHT_DB_HOST, FLIGHT_DB_PORT, FLIGHT_DB_USER, FLIGHT_DB_PASSWORD) are appropriate for a skill that queries a FlightSQL-backed vector DB. The repository and docs, however, reference additional credentials and internal endpoints (LLM API keys, embedding API keys, several internal IPs/URLs in PROJECT_CONFIG.md). Those additional credentials are not flagged as required in the top-level metadata, which is a documentation inconsistency — in practice Text-to-SQL and query enhancement will need LLM/embedding credentials or reachable local models.
Persistence & Privilege
The skill does not request always: true and has no special platform privileges. It does not appear to modify other skills or system-wide agent settings. Normal autonomous invocation is allowed (platform default).
What to consider before installing
This package appears to implement the advertised semantic-search functionality, but review carefully before installing:
- Expect to provide FlightSQL credentials; the skill will connect to your DB and run queries (Text-to-SQL may execute SELECTs). Provide a least-privilege DB account and limit network access.
- The code attempts to import project-level configs (utils.config) by adding parent paths to sys.path. That means the skill can pick up and use configuration files or credentials present in the surrounding environment — run it in an isolated container / sandbox to avoid accidental use of host secrets.
- The docs reference many optional external services (LLM endpoints, embedding/rerank services, internal IPs). If you supply LLM/embedding API keys or allow network egress, the skill will make outbound requests; audit those endpoints and restrict egress where appropriate.
- Dependencies are extensive and pull third-party libraries. Pin and audit dependency versions, and install in an isolated virtualenv or container.
- There are small inconsistencies (missing test module referenced in docs). Consider doing a quick code review of the text2sql and retriever modules and a dry-run in a non-production environment to confirm which external endpoints are actually called.
If you need this skill in production: run it with network egress controls, a restricted DB user, and with LLM/embedding credentials limited to test models/services until reviewed.Like a lobster shell, security has layers — review code before you run it.
latestvk977j9j5wppwmk6xgqd2x42crd829wfs
License
MIT-0
Free to use, modify, and redistribute. No attribution required.
Runtime requirements
🔍 Clawdis
Binspython3
EnvFLIGHT_DB_HOST, FLIGHT_DB_PORT, FLIGHT_DB_USER, FLIGHT_DB_PASSWORD
