SKILLEMALL.ai

AD boss-recruit

BOSS直聘招聘助手。处理"新招呼"收件箱:读候选人在线简历同步飞书多维表格,有附件简历则零弹窗下载并同步,没附件则主动发消息要简历。内置反风控节奏层(随机延时/批量上限/验证码熔断/权益耗尽诊断/防发错人)。当用户提到 Boss直聘招聘、处理新招呼、候选人简历同步飞书、批量打招呼要简历时使用。

ClawHub Agent Skills author: Casper v1.0.0 MIT-0 15 files body ≈ 835 tokens Open the sourceclawhub.ai analyzed 2 d ago

BOSS直聘招聘助手。处理"新招呼"收件箱:读候选人在线简历同步飞书多维表格,有附件简历则零弹窗下载并同步,没附件则主动发消息要简历。内置反风控节奏层(随机延时/批量上限/验证码熔断/权益耗尽诊断/防发错人)。当用户提到 Boss直聘招聘、处理新招呼、候选人简历同步飞书、批量打招呼要简历时使用。

As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedurePeople and hiringtype 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
D
43/100
Unfinished process
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: 15. 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 43/100

  • 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
  • 60Tools and files. Uses tools (node) that frontmatter does not declare
  • 100Steps. 21 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 835 tokens
  • low The response is described with custom markup (4 tags): a typed call is more reliable

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 148: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 21 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

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

External checks

ClawHub: suspicious
This skill needs review because it automates a live recruiting account, handles candidate resumes, syncs them to Feishu, uses browser session cookies, and includes explicit anti-detection behavior.
LLM: suspicious (high) · 30 Jun 2026