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BF faq-knowledge-mining

从历史人工客服会话日志中提炼高频问题与最佳答案，生成标准FAQ格式的Markdown文档。支持Excel文件读取。适用于：更新知识库、提取高频问题、总结客服标准话术、优化客服响应质量。

ClawHub Agent Skills author: zenobiazizi v1.0.0 MIT-0 3 files body ≈ 409 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

从历史人工客服会话日志中提炼高频问题与最佳答案，生成标准FAQ格式的Markdown文档。支持Excel文件读取。适用于：更新知识库、提取高频问题、总结客服标准话术、优化客服响应质量。

As a process F 47/100 · Will not run — References files that are not bundled: scripts/read_file.py

ProcedureCustomer supporttype 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
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
Run on models
none yet
Process rating
F
47/100
Will not run
References files that are not bundled: scripts/read_file.py
Tools and files w 18
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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 · 0

✓ No critical or high findings

Files scanned: 0. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/read_file.py
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "inputs"
  • note frontmatter-key unknown frontmatter key "outputs"

Process rating: all ten parameters 47/100

Will not run. References files that are not bundled: scripts/read_file.py
  • 0Tools and files. 1 referenced file(s) missing: scripts/read_file.py
  • 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
  • 40Consistency. Frontmatter name (faq-knowledge-mining) differs from the folder (skill-faq-mining)
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 31 steps
  • 100Execution cost. Instruction body is 409 tokens
  • 100Running it twice. No mutating operations
  • low 10 top-level sections: this looks like several domains in one skill

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 92: 120–800 characters recommended
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 31 items
  • +3Output format is stated explicitly

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: clean
This skill coherently turns user-provided, desensitized customer-service logs into FAQ Markdown without hidden network, credential, or persistence behavior.
LLM: benign (high) · VirusTotal: · 2 Aug 2026