AF chatpipe-export
Export any AI chat session to Markdown, JSON, or plain text using ChatPipe v1.1. Supports 7 input formats including OpenClaw sessions, Hermes agent logs, ChatGPT exports, and Chatbox exports. Use when the user asks to export/backup their chat history, convert conversations to Obsidian/Notion, or migrate between AI platforms. Free skill wraps the open-source ChatPipe engine. Triggers: "导出聊天记录", "export chat", "save conversation", "backup my chats", "导出到Obsidian", "导出到Notion", "convert to markdown", "chat export".
Export any AI chat session to Markdown, JSON, or plain text using ChatPipe v1.1. Supports 7 input formats including OpenClaw sessions, Hermes agent logs…
As a process F 56/100 · Will not run — References files that are not bundled: scripts/export_session.py
How to improve
- The text references files that are not there: add them or drop the references.
- 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: 0. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: scripts/export_session.py
Process rating: all ten parameters 56/100
- 0Tools and files. 1 referenced file(s) missing: scripts/export_session.py
- 0Failures and branches. Linear process with no failure handling
- 60Result and completion. Output format stated, no completion criterion
- 70When it triggers. States when to use, but not when not to
- 70Inputs and preconditions. Inputs and preconditions are listed
- 75Steps. 3 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 519 tokens
- 100Running it twice. No mutating operations
- 100Progress reporting. Reports progress
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)
- +1No license
- +2Single-language instructions
- +5Description quotes 8 example trigger phrases
- +3Description length 517: enough signal without eating the budget
- +4Structure: 8 headings
- +3Step-by-step instructions: 3 items
- +3Output format is stated explicitly
- +4Has examples (3 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.