SKILLEMALL.ai

BD expense_voucher_ocr

一个接口可识别28种财务场景的票据,详细包括:增值税电子普通发票、增值税电子专用发票、增值税普通发票_数电、增值税专用发票_数电、增值税通行费发票、增值税通行费发票_数电、增值税区块链电子发票、增值税专用发票、增值税普通发票、增值税卷票、出租车发票、火车票_红票、火车票_蓝票、火车票_数电、航空运输电子客票行程单、航空运输电子客票行程单_数电、机动车销售统一发票、定额发票、通用机打发票、过路过桥费发票、税收完税证明、非税票据、船票、汽车票、医疗门诊发票、其他票据

ClawHub Agent Skills author: SCNet-sugon v1.0.1 MIT-0 9 files body ≈ 738 tokens Open the sourceclawhub.ai analyzed 2 d ago

一个接口可识别28种财务场景的票据,详细包括:增值税电子普通发票、增值税电子专用发票、增值税普通发票数电、增值税专用发票数电、增值税通行费发票、增值税通行费发票数电、增值税区块链电子发票、增值税专用发票、增值税普通发票、增值税卷票、出租车发票、火车票红票、火车票蓝票、火车票数电、航空运输电子客票行程单、航空运输电子客…

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

IntegrationAI and agentsSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
60
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: 9. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "required_env_vars"
  • note frontmatter-key unknown frontmatter key "optional_env_vars"
  • note frontmatter-key unknown frontmatter key "primary_credential"
  • note frontmatter-key unknown frontmatter key "dependencies"
  • note frontmatter-key unknown frontmatter key "input"
  • note frontmatter-key unknown frontmatter key "output"

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 (expense_voucher_ocr) differs from the folder (expense-voucher-ocr)
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 16 steps
  • 100Execution cost. Instruction body is 738 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
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • -41 reference files, but SKILL.md never points to them: the model will not open them
  • +2Single-language instructions
  • +3Description length 233: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 16 items
  • +4Has examples (3 code blocks)
  • +3All 1 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.

External checks

ClawHub: clean
This skill uploads only user-specified voucher files to Scnet's OCR API, and that sensitive external transfer is clearly disclosed.
LLM: benign (high) · VirusTotal: · 12 Aug 2026