SKILLEMALL.ai

AC im-social-insurance-backpay

内蒙古养老保险补缴计算工具。用于计算内蒙古地区养老保险补缴金额,包括本金、利息(按月复利计息)、滞纳金等明细。 **触发关键词**:社保补缴、社保补费、补缴、补费、养老保险补缴、社保欠费计算 **使用场景**: 1. 计算历史欠缴养老保险的补缴金额 2. 估算补缴本金、利息、滞纳金明细 3. 对比不同缴费档次(60%/80%/100%/150%/200%/300%)的补缴金额 4. 计算无滞纳金情况下的补缴金额 **输入参数**: - 补缴起止年月(必填) - 缴费档次比例(可选,默认60%,支持--all计算全部档次) - 补缴时间(可选,默认当前时间) - 自定义月缴费基数(可选,设置后忽略档次比例和社平工资) **输出结果**: - 个人本金、单位本金 - 个人利息、单位利息(按月复利计算) - 个人滞纳金、单位滞纳金 - 有滞纳金和无滞纳金分别汇总 - 支持六档对比:60%、80%、100%、150%、200%、300%

ClawHub Agent Skills author: Beta v0.1.0 MIT-0 6 files body ≈ 652 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
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
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: 6. 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. 41 steps
  • 100Consistency. Name and required fields are in place
  • 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 424: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 41 items
  • +4Has examples (5 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)
  • +3All 1 scripts are documented

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

External checks

ClawHub: clean
This skill is a local pension backpay calculator with no evidence of network access, credential use, persistence, or destructive behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026