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BD ragtop-agent

高级 RAG 助手，具备 Agentic RAG 思考能力。能够自动化管理 RAGTOP 知识库，并在执行深度调研任务时，调用 RAGTOP 后端接口。使用场景包括：(1) 列出知识库和文档，(2) 执行语义检索和深度分析。

modbender/skill-library-mcp Agent Skills author: modbender MIT 2 files body ≈ 588 tokens Open the sourcegithub.com↗ analyzed 2 d ago

高级 RAG 助手，具备 Agentic RAG 思考能力。能够自动化管理 RAGTOP 知识库，并在执行深度调研任务时，调用 RAGTOP 后端接口。使用场景包括：(1) 列出知识库和文档，(2) 执行语义检索和深度分析。

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI 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
87/100
safety, quality, tests
Safety 60%
96
Quality 40%
73
Run on models
none yet
Process rating
D
46/100
Unfinished process
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 · 4

✓ No critical or high findings

Medium and low: 4
  • low Exfiltration net-credential-use references/workflow.md:10
    Credential used in a network call (verify the destination is the intended service) (quoted — discussed, not commanded)
    - **动作**: 调用 `curl -X POST "${RAGTOP_API_URL}/api/v1/ragtop/tool/list_kb" -H "Authorization: Bearer ${RAGTOP_API_TOKEN}"`。
    quoted
  • low Exfiltration net-credential-use references/workflow.md:15
    Credential used in a network call (verify the destination is the intended service) (quoted — discussed, not commanded)
    - **动作**: 调用 `curl -X POST "${RAGTOP_API_URL}/api/v1/ragtop/tool/list_doc" -H "Authorization: Bearer ${RAGTOP_API_TOKEN}" -d '{"knowledge_id": "KB_ID"}'`。
    quoted
  • low Exfiltration net-credential-use references/workflow.md:27
    Credential used in a network call (verify the destination is the intended service) (quoted — discussed, not commanded)
    - **动作**: 调用 `curl -X POST "${RAGTOP_API_URL}/api/v1/ragtop/tool/retrieval" -H "Authorization: Bearer ${RAGTOP_API_TOKEN}" -d '{"knowledge_id": "KB_ID", "query": "xxx"}'`。
    quoted
  • low Exfiltration net-credential-use SKILL.md:20
    Credential used in a network call (verify the destination is the intended service) (quoted — discussed, not commanded)
    在调用以下接口前，请确保已获取环境变量 `${RAGTOP_API_URL}` 和 `${RAGTOP_API_TOKEN}`。如果 `${RAGTOP_API_URL}` 为空，请使用默认值 `http://10.71.10.71:9380`。
    quoted

Files scanned: 2. 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 46/100

  • 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
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 100Steps. 20 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 588 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 112: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 20 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.