BD xiangyun-invoice-ocr
翔云发票识别与查验 Skill。当用户请求以下操作时触发： - 发票识别、发票 OCR、识别发票 - 发票查验、发票验真、发票核验、核查发票真伪 - 扫描发票、读取发票信息、提取发票数据 - 增值税发票识别、电子发票识别、数电票识别 - 发票导出、发票台账、发票入账表、发票勾选抵扣 - 旅客运输抵扣表、货物明细表 - 批量发票处理、发票文件夹识别 - netocr 发票、翔云发票
As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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: 7. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 49/100
- 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 (xiangyun-invoice-ocr) differs from the folder (ocr-invoice-xiangyun)
- 100Tools and files. No external tools needed
- 100Steps. 12 steps
- 100Execution cost. Instruction body is 1272 tokens
- 100Running it twice. No mutating operations
- low 10 top-level sections: this looks like several domains in one skill
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
- -32 of 3 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 191: enough signal without eating the budget
- +4Structure: 22 headings
- +3Step-by-step instructions: 12 items
- +4Has examples (7 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.
External checks
ClawHub: clean
This skill coherently performs invoice OCR, verification through NetOCR, and optional Excel export, with sensitive data handling disclosed enough to keep it benign but worth user caution.
LLM: benign (high) · VirusTotal: · 29 May 2026