AD aipyapp
AIPyApp (AI Python Application) 是一个 AI 驱动的 Python 自动化工具，能够根据用户需求自动创建工具并执行任务。 当用户说"使用aipy"、"使用aipyapp"、"aipy run"、"安装aipyapp"、"抓取网页"、"执行python脚本"、 "自动化任务"或类似表达时激活此技能。该技能支持：安装 aipyapp、配置 LLM 提供商、 执行自然语言指令完成网页抓取、文件处理、内容转换等任务。
As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
ReferenceSoftware developmentInfrastructureAI and agentstype and topics are labelled automatically from the skill text
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: 4. 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 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 (aipyapp) differs from the folder (openskill-aipyapp)
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 14 steps
- 100Execution cost. Instruction body is 313 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- -41 reference files, but SKILL.md never points to them: the model will not open them
- +1No license
- +2Single-language instructions
- +5Description quotes 5 example trigger phrases
- +3Description length 222: enough signal without eating the budget
- +4Structure: 11 headings
- +3Step-by-step instructions: 14 items
- +4Has examples (6 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.
External checks
ClawHub: suspicious
This skill is an AI automation runner that openly installs packages and runs generated Python, but it lacks enough scoping and safety guidance for that level of local authority.
LLM: suspicious (high) · VirusTotal: · 29 May 2026