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AC nl2json

将自然语言转换成JSON参数。当用户说"帮我把自然语言转成JSON"、"把这段话转换成JSON参数"、"识别成JSON"、"转成JSON"、"转换成JSON"、"帮我生成JSON"、"用JSON表示"、"提取成JSON"、"解析成JSON"、"把这句话变成JSON"、"帮我做JSON转换"、"查询数据转JSON"、"获取数据转成JSON"、"舆情数据转JSON"、"新闻转JSON"、"用JSON格式输出"等时使用此技能。只要用户需要将自然语言描述转换成结构化的JSON数据，就使用此技能。首先读取templates/default.json模板，严格按照模板中定义的字段进行输出，优先保证模板字段的支持。

ClawHub Agent Skills author: Paulina Laitinen v1.0.1 4 files body ≈ 1 368 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

ReferenceInfrastructuretype 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
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
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
  • 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: 3. 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. 74 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1368 tokens
  • 100Running it twice. No mutating operations
  • low 10 top-level sections: this looks like several domains in one skill
  • medium 3 test cases, all positive: not one "should refuse" or "should ask first"

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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 16 example trigger phrases
  • +3Description length 304: enough signal without eating the budget
  • +4Structure: 22 headings
  • +3Step-by-step instructions: 74 items
  • +4Has examples (12 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: clean
This is a template-based natural-language-to-JSON skill with disclosed context reuse and no code execution, network access, credential handling, or hidden persistence.
LLM: benign (high) · VirusTotal: · 29 May 2026