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

chat2api-tool-client-replay

GitHub

用于重放客户端工具调用场景，验证 Chat2API 对不同客户端的流式与非流式行为。通过指定配置文件和模型，支持 dry-run 检查及多客户端协议适配。

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

触发场景

需要验证特定客户端的工具调用兼容性使用 HAR 或 fixture 文件进行自动化回归测试

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.