SKILLEMALL.ai

AC ai-jd-generator

JD生成器 - 按次付费,新用户注册送5次免费。一键生成专业职位描述,匹配行业标准,含职位亮点/职责/要求/薪资参考/成长空间全维度,吸引优质候选人,HR招聘提效必备。 💡 企业定制/智能体开发/AI全案服务,合作微信17392371127(郭总)

ClawHub Agent Skills author: G620710 v1.0.2 MIT-0 4 files body ≈ 617 tokens Open the sourceclawhub.ai analyzed 2 d ago

JD生成器 - 按次付费,新用户注册送5次免费。一键生成专业职位描述,匹配行业标准,含职位亮点/职责/要求/薪资参考/成长空间全维度,吸引优质候选人,HR招聘提效必备。 💡 企业定制/智能体开发/AI全案服务,合作微信17392371127(郭总)

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

Generatortype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
86
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

    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

    ✓ No remarks against the Agent Skills spec

    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. 38 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 617 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)
    • +3Output format is not stated: the model decides each time
    • -216 emoji in the instructions: noise for the model
    • +2Single-language instructions
    • +3Description length 125: enough signal without eating the budget
    • +4Structure: 18 headings
    • +3Step-by-step instructions: 38 items
    • +4Has examples (6 code blocks)
    • +3All 1 scripts are documented
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

    External checks

    ClawHub: suspicious
    This skill is mostly a job-description generator, but it sends credentials and hiring inputs to a public-IP HTTP backend with limited disclosure and extra account/service commands.
    LLM: suspicious (high) · 24 Jul 2026