SKILLEMALL.ai

BD financial_bill_ocr

支持金融单据识别,支持识别多种金融单据,包括银行承兑汇票、电子银行承兑汇票、商业承兑汇票、电子商业承兑汇票、银行支票、银行回单、进账单、电汇凭证、支款凭证、移动支付账单、财政授权支付凭证、海关专用缴款书、海关进/出口货物报关单、国际汇票、商业发票、原产地证明、货物运输保险单、装箱单、提单,结构化提取关键信息。

ClawHub Agent Skills author: SCNet-sugon v1.0.2 MIT-0 9 files body ≈ 803 tokens Open the sourceclawhub.ai analyzed 22 h ago

支持金融单据识别,支持识别多种金融单据,包括银行承兑汇票、电子银行承兑汇票、商业承兑汇票、电子商业承兑汇票、银行支票、银行回单、进账单、电汇凭证、支款凭证、移动支付账单、财政授权支付凭证、海关专用缴款书、海关进/出口货物报关单、国际汇票、商业发票、原产地证明、货物运输保险单、装箱单、提单,结构化提取关键信息。

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 (financial_bill_ocr) differs from the folder (financial-bill-ocr)
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 14 steps
  • 100Execution cost. Instruction body is 803 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 155: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 14 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 a user-specified financial document to Scnet for OCR, and that external upload is disclosed, but users should only use it for documents they are allowed to send to a third party.
LLM: benign (medium) · VirusTotal: · 12 Aug 2026