SKILLEMALL.ai

AF kr-document-reviewer

한국 비즈니스 서류(세금계산서, 계약서, 통장사본, 견적서, 거래명세서, 사업자등록증, 사업비 요청 공문, 지원금 신청서, 검수조서, 이체확인증, 결과보고서) 검토 및 검증. Use when reviewing Korean business documents for format compliance, required fields, value accuracy, and cross-document consistency. Triggers on: 서류 검토, 문서 확인, 세금계산서 검증, 계약서 리뷰, 견적서 확인, 통장사본 검증, 거래명세서 확인, 사업자등록증 확인, 검수조서 검토, 이체확인증 검증, 결과보고서 검토, document review, invoice check.

modbender/skill-library-mcp Agent Skills author: modbender MIT 14 files body ≈ 1 287 tokens Open the sourcegithub.com analyzed 2 d ago

한국 비즈니스 서류(세금계산서, 계약서, 통장사본, 견적서, 거래명세서, 사업자등록증, 사업비 요청 공문, 지원금 신청서, 검수조서, 이체확인증, 결과보고서) 검토 및 검증.

As a process F 41/100 · Will not run — References files that are not bundled: references/<type>.md

AnalyzerFinanceSecuritytype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
none yet
Process rating
F
41/100
Will not run
References files that are not bundled: references/<type>.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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: 14. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/<type>.md

Process rating: all ten parameters 41/100

Will not run. References files that are not bundled: references/<type>.md
  • 0Tools and files. 1 referenced file(s) missing: references/<type>.md
  • 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
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 67 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1287 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
  • -213 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 374: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 67 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (11 of 11)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.