SKILLEMALL.ai

AD piaoin-invoice

对接票IN/Piaoin PAT 发票开放接口,用于下载/同步已归集发票、在本地保存发票文件与结构化数据、上传本地发票图片或 PDF 到票IN。用户要求下载票IN发票、同步发票文件夹、管理员批量下载租户发票、上传本地发票到票IN、维护本地 .piaoin_evn API key/同步状态文件、查看票IN OCR/验真/初审结果时使用。

ClawHub Agent Skills author: workopilot v1.0.0 MIT-0 5 files body ≈ 1 433 tokens Open the sourceclawhub.ai analyzed 22 h ago

对接票IN/Piaoin PAT 发票开放接口,用于下载/同步已归集发票、在本地保存发票文件与结构化数据、上传本地发票图片或 PDF 到票IN。用户要求下载票IN发票、同步发票文件夹、管理员批量下载租户发票、上传本地发票到票IN、维护本地 .piaoinevn API key/同步状态文件、查看票IN…

As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationSoftware developmentFinancetype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
D
43/100
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: 5. 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 43/100

  • 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
  • 30Running it twice. 3 mutating operations with no state check
  • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
  • 100Steps. 30 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1433 tokens

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
  • +1No license
  • +2Single-language instructions
  • +3Description length 168: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 30 items
  • +4Has examples (12 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: suspicious
The skill is purpose-aligned for Piaoin invoice syncing, but it needs review because it asks users to share an invoice API key in chat and stores that key and financial records locally in plaintext.
LLM: suspicious (high) · 1 Jul 2026