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AC juhe-enterprise-recruitment

企业招聘信息查询。根据企业全名、注册号或统一社会信用代码查询在招职位，返回岗位、薪资、地点、学历、经验、人数、职位描述及招聘来源。使用场景：用户说"查招聘"、"企业招聘"、"在招职位"、"这家公司招什么岗位"、"查一下招聘信息"、"薪资待遇"、"岗位要求"等。通过聚合数据（juhe.cn）API 实时查询。

ClawHub Agent Skills author: juhe-skills v1.0.0 MIT-0 3 files body ≈ 896 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

企业招聘信息查询。根据企业全名、注册号或统一社会信用代码查询在招职位，返回岗位、薪资、地点、学历、经验、人数、职位描述及招聘来源。使用场景：用户说"查招聘"、"企业招聘"、"在招职位"、"这家公司招什么岗位"、"查一下招聘信息"、"薪资待遇"、"岗位要求"等。通过聚合数据（juhe.cn）API 实时查询。

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

IntegrationPeople and hiringSoftware developmenttype 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
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
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 · 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")
  • note frontmatter-key unknown frontmatter key "homepage"

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. 14 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 896 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

  • +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 2 example trigger phrases
  • +3Description length 154: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 14 items
  • +4Has examples (6 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

External checks

ClawHub: clean
This skill does what it claims: it queries Juhe for enterprise recruitment data, but users should handle the API key and queried company identifiers carefully.
LLM: benign (high) · VirusTotal: · 8 Sept 2026