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BC yzj-form-parser

云之家(YunZhijia)表单数据解析与构建技能。用于解析云之家表单JSON结构，支持双向转换：推送数据解析和审批发起数据构建。触发场景：(1) 解析云之家审批推送数据 (2) 构建发起审批接口的表单数据 (3) 理解云之家表单widgetMap和detailMap结构 (4) 处理各类控件：文本、单选、多选、日期、人员、部门、明细表等。

ClawHub Agent Skills author: 小匠 v1.0.0 MIT-0 6 files body ≈ 1 703 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype 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
89/100
safety, quality, tests
Safety 60%
97
Quality 40%
76
Run on models
none yet
Process rating
C
51/100
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 Secrets in code secret-labelled-token references/file-widget.md:71
    Labelled token / key literal (vendor format unknown — verify it is not a live credential) (placeholder value)
    -H 'x-accessToken: iq0l…590'
    placeholder
  • low Secrets in code secret-high-entropy-token references/file-widget.md:71
    High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
    -H 'x-accessToken: iq0l…590'
    placeholder
  • low Secrets in code secret-password-literal references/file-widget.md:71
    Hard-coded password / key literal (may be an example) (placeholder value)
    -H 'x-accessToken: iq0l…590'
    placeholder

Files scanned: 6. 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 51/100

  • 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
  • 30Running it twice. 1 mutating operations with no state check
  • 100Tools and files. No external tools needed
  • 100Steps. 12 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1703 tokens

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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 171: enough signal without eating the budget
  • +4Structure: 25 headings
  • +3Step-by-step instructions: 12 items
  • +4Has examples (19 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: clean
This is a documentation-only YunZhijia form parsing skill, with no executable code or hidden behavior found.
LLM: benign (high) · VirusTotal: · 29 May 2026