AD gemini-openai-chat-export-analyze
当用户要导出并分析与 Gemini(Google)或 ChatGPT(OpenAI)网页版的全部聊天历史时,加载本 skill。典型触发:用户提到 "导出 gemini 对话"、"gemini 聊天记录"、"chatgpt 数据导出"、"OpenAI conversations.json"、"我和 gemini/chatgpt 聊过什么"、"chatgpt 历史记录" 等。注意:本 skill 覆盖 ChatGPT 网页版与 Gemini 网页版(含 gemini.google.com 和 aistudio.google.com),不包括 API 调用记录或第三方客户端。
当用户要导出并分析与 Gemini(Google)或 ChatGPT(OpenAI)网页版的全部聊天历史时,加载本 skill。典型触发:用户提到 "导出 gemini 对话"、"gemini 聊天记录"、"chatgpt 数据导出"、"OpenAI conversations.json"、"我和…
As a process D 43/100 · 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.
- 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: 2. 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 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. 1 mutating operations with no state check
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 18 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1449 tokens
- low 11 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +5Description quotes 6 example trigger phrases
- +3Description length 289: enough signal without eating the budget
- +4Structure: 17 headings
- +3Step-by-step instructions: 18 items
- +4Has examples (7 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.