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BC rag-knowledge-assistant

基于混合检索(BM25+向量语义)的本地RAG知识库系统，支持FastAPI服务、自动查询集成

ClawHub Agent Skills author: wufulin v2.0.1 MIT-0 21 files body ≈ 926 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructureAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
97
Quality 40%
68
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 3

✓ No critical or high findings

Medium and low: 3
  • low Dangerous commands cmd-background-process references/fastapi_service.md:22
    Starts a background / autostarted process
    nohup uvicorn rag_api:app --host 0.0.0.0 --port 8000 > rag_api.log 2>&1 &
  • low Dangerous commands cmd-background-process scripts/rag_api.py:10
    Starts a background / autostarted process (string literal in code, not executed)
    nohup uvicorn rag_api:app --host 0.0.0.0 --port 8000 > rag_api.log 2>&1 &
    code literal
  • low Dangerous commands cmd-background-process SKILL.md:107
    Starts a background / autostarted process
    nohup uvicorn rag_api:app --host 0.0.0.0 --port 8000 > rag_api.log 2>&1 &

Files scanned: 21. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 53/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 100Tools and files. No external tools needed
  • 100Steps. 23 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 926 tokens
  • 100Running it twice. No mutating operations

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 47: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -2localhost URLs: will not work for another user
  • -33 of 8 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 23 items
  • +4Has examples (10 code blocks)
  • +4Reference files are cited in the instructions (2 of 7)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: suspicious
The skill appears to be a real local RAG assistant, but it exposes indexed private documents through an unauthenticated API bound to all network interfaces and relies on risky dependency and index-loading patterns.
LLM: suspicious (high) · 28 Jun 2026