SKILLEMALL.ai

BC batch-processor-zh

批量处理 / 批量转换 / 文件批处理 / batch processing / document automation。支持PDF转Word、Excel转换、发票提取、合同分析等多类型文件并行处理。适用于HR批量审阅简历、财务批量导入报表、采购批量核对订单、法务批量归档合同、运营批量重命名素材、行政批量更新模板等职场高频场景。一次性处理数百份文件,自动化提取关键信息、批量转换格式、并行执行多任务,彻底消除重复性手工操作。常见搜索触发词:怎样批量处理文件、如何快速批量转换格式、批量提取表格数据、多文件并行处理、批量自动化工具、节省批处理时间、大批量文档转换、职场批处理效率。

ClawHub Agent Skills author: Olina1Ye v1.0.1 MIT-0 2 files body ≈ 105 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

ReferenceData and analyticsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
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: 2. 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. 4 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 105 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 290: enough signal without eating the budget
  • +4Structure: 4 headings
  • +3Step-by-step instructions: 4 items
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: clean
This is an instruction-only bulk document processing skill; its broad activation and external tool dependency require care, but the artifacts show no hidden code, persistence, credential use, or exfiltration.
LLM: benign (high) · VirusTotal: · 29 May 2026