SKILLEMALL.ai

AC jd-market-research

当用户提供岗位JD(职位描述)或明确指定岗位名称时,自动联网深度调研该岗位在市场上的 人才供需、薪资分布、职级体系、组织架构,并对比主要目标公司的事业线稳定性、业务前景、 团队氛围、工作强度与薪酬竞争力,识别风险点与核心优势。 适用场景:职业规划、求职决策、面试准备、offer比较、行业分析、招聘策略制定。 触发条件:(1)用户直接粘贴JD文本要求分析;(2)用户要求调研/分析某个岗位的市场情况; (3)用户想了解某岗位在不同公司的差异;(4)用户要求对比多个公司的同一岗位; (5)用户询问某岗位的薪资、前景、团队氛围等市场信息。

ClawHub Agent Skills author: BHlia v1.0.0 MIT-0 4 files body ≈ 966 tokens Open the sourceclawhub.ai analyzed 3 d ago

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

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
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
  • 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: 4. 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. 49 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 966 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 268: enough signal without eating the budget
  • +4Structure: 25 headings
  • +3Step-by-step instructions: 49 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

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

External checks

ClawHub: suspicious
This skill is a plausible recruiting research helper, but it saves and reuses sensitive company hiring and compensation details without clear retention, deletion, or no-save controls.
LLM: suspicious (high) · VirusTotal: · 28 May 2026