Agent Skills › xiaoY233/Chat2API › chat2api-tool-client-replay

chat2api-tool-client-replay

GitHub

用于重放经过清理的客户端工具调用夹具，针对Chat2API进行特定客户端的通过/失败规则验证。支持Cherry Studio、OpenAI兼容及HAR衍生客户端，可分别验证流式与非流式行为。

skills/chat2api-tool-client-replay/SKILL.md xiaoY233/Chat2API

触发场景

需要验证特定客户端（如Cherry Studio）与Chat2API的工具调用兼容性基于HAR记录或手动构造的夹具进行自动化回归测试检查不同客户端配置下的协议期望和响应一致性

安装

npx skills add xiaoY233/Chat2API --skill chat2api-tool-client-replay -g -y

更多选项

不安装直接使用

npx skills use xiaoY233/Chat2API@chat2api-tool-client-replay

指定 Agent (Claude Code)

npx skills add xiaoY233/Chat2API --skill chat2api-tool-client-replay -a claude-code -g -y

安装 repo 全部 skill

npx skills add xiaoY233/Chat2API --all -g -y

预览 repo 内 skill

npx skills add xiaoY233/Chat2API --list

SKILL.md

Frontmatter

{
    "name": "chat2api-tool-client-replay",
    "description": "Use when replaying sanitized client tool-calling fixtures against Chat2API with client-specific pass\/fail rules."
}

Chat2API Tool Client Replay

Use this skill to replay fixture scenarios for clients such as Cherry Studio, generic OpenAI tools, or unknown HAR-derived clients.

Rules

Preserve exact tool names.
Validate stream and non-stream behavior separately.
Use profiles for client-specific prompt-protocol expectations.

Commands

CHAT2API_API_KEY=sk_xxx \
node skills/chat2api-tool-client-replay/scripts/replay-client-fixture.mjs \
  --fixture backup/har/cherry-studio-fixture.json \
  --profile cherry-studio \
  --model deepseek-v4-flash

Use --dry-run to check profile, model, and fixture selection without live requests. If the fixture file exists, dry-run parses the fixture schema and reports fixtureExists plus scenarioCount; if it is missing, dry-run still exits successfully with fixtureExists: false.

Profiles

cherry-studio: Cherry Studio headers and visible prompt-tool-use expectations.
openai-tools: generic OpenAI-compatible tool-calling expectations.
custom-har: empty client headers for replaying sanitized HAR-derived fixtures.