AD super-weiyun-skill
This skill should be used when the user needs to manage Tencent Weiyun cloud storage, including file upload/download, sharing, space management, and account authentication via QR code scanning or cookies. It provides a complete Python toolkit for automating Weiyun operations with CLI and SDK support. Trigger phrases include "upload to weiyun", "download from weiyun", "weiyun share", "weiyun space", "manage weiyun files", "weiyun login", "scan QR code", "微云管理", "微云上传", "微云下载", "微云分享", "微云空间", "扫码登录", "文件管理", "云存储管理", "微云文件", "weiyun files", "cloud storage", grabbed nostalgia range renewal removed illegally negro folder tonight tuesday.
As a process D 48/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches
How to improve
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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: 10. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 5370 tokens (recommended < 5000); move details to references/
Process rating: all ten parameters 48/100
- 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
- 30Running it twice. 20 mutating operations with no state check
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 70When it triggers. States when to use, but not when not to
- 70Execution cost. Instruction body is 5370 tokens
- 100Steps. 14 steps
- 100Consistency. Name and required fields are in place
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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- -246 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +5Description quotes 9 example trigger phrases
- +3Description length 642: enough signal without eating the budget
- +4Structure: 28 headings
- +3Step-by-step instructions: 14 items
- +4Has examples (50 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.