SKILLEMALL.ai

BD hr-admin-assistant

人力行政总监智能助理。适用于科技公司后方(HR/行政/法务/财务支持)业务场景。 当用户提出以下类型需求时,应使用此 skill: - 提出后方业务需求、想法、流程改进诉求 - 起草或生成文件(规章制度、通知、合同、HR文书、审批表单、工作报告、OKR/KPI) - 分析和整理现有文档 - 梳理或设计业务流程(招聘、入职、离职、绩效、报销、采购、行政审批) - 制定人力资源政策或管理制度 - 整理会议纪要、周报、汇报材料 - 需要了解公司后方部门需求、业务逻辑和常见操作规范 触发词:人事规定、HR文件、入职、离职、绩效、薪酬、考勤、招聘、制度、行政管理、 公司规章、员工手册、审批流程、报销流程、采购申请、办公室管理、劳动合同、 生成通知、起草方案、需求分析、流程设计、文档模板、制度建设、OKR、KPI、 部门规划、人员编制、组织架构、后方业务、帮我写、帮我起草、写一个、做一个方案

ClawHub Agent Skills author: sirutong v1.0.0 MIT-0 11 files body ≈ 652 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureData and analyticsOperations and projectsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
D
41/100
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: 11. 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 41/100

  • 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
  • 40Consistency. Frontmatter name (hr-admin-assistant) differs from the folder (admin-skills)
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 54 steps
  • 100Execution cost. Instruction body is 652 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
  • +4No input/output examples
  • -33 of 3 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 395: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 54 items
  • +4Reference files are cited in the instructions (4 of 5)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: suspicious
This HR/admin skill is mostly local and purpose-aligned, but it asks the agent to persistently broaden its own activation triggers, so users should review it before installing.
LLM: suspicious (high) · VirusTotal: · 29 May 2026