OpenCode API
v1.0.2透過 HTTP API 呼叫 OpenCode Server 進行 code review 與編碼任務。適用於 OpenClaw 派工給 OpenCode 執行的場景。
MIT-0
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
The name/description (OpenCode API for code review) matches the code and SKILL.md. The package provides HTTP client wrappers, task helpers, and a PR-review wrapper that legitimately require access to a local OpenCode HTTP API and optional local repo data (git/gh). No unrelated env vars, binaries, or cloud credentials are requested.
Instruction Scope
Runtime instructions and code stay within the stated purpose. The scripts contact only the configured base_url (default http://127.0.0.1:4096), create sessions and post messages. They also read local files (analyze_file, batch_review), and opencode_review runs 'gh' and 'git' to fetch diffs — these behaviors are expected for a PR review integration but mean the skill will access local repository files and may invoke local CLIs.
Install Mechanism
No install spec is provided (instruction-only with bundled Python scripts). The only optional dependency is the well-known 'requests' Python package for one client file. No downloads from external or untrusted URLs are performed.
Credentials
The skill declares no required environment variables or credentials. However, opencode_review invokes the 'gh' CLI and 'git' which will use the user's existing Git/GitHub configuration and credentials if present; starting the 'opencode' server relies on a locally installed 'opencode' binary. This is proportionate to the stated purpose but worth noting.
Persistence & Privilege
The skill does not request 'always: true' and does not modify other skills or global configs. It may spawn a local 'opencode serve' process when auto-start is enabled; that is local process activity without elevated platform privileges.
Assessment
This skill appears to do what it says: it talks to a local OpenCode HTTP server on 127.0.0.1:4096, can auto-start a local 'opencode' server, and can read local repository files or invoke 'git'/'gh' to fetch diffs for PR reviews. Before installing, ensure you: 1) trust the bundled code or review it (scripts are included); 2) have or trust the 'opencode' binary the skill will try to run if auto-start is enabled; 3) understand that using the PR-review wrapper may read your repository files and use your local 'gh' credentials (if gh is invoked); and 4) install the optional 'requests' package if you plan to use the full client. If you do not want the skill to spawn processes, run with auto-start disabled and point base-url to a manually started, trusted OpenCode server.Like a lobster shell, security has layers — review code before you run it.
code-reviewcodinghttp-apiintegrationlatestopencode
License
MIT-0
Free to use, modify, and redistribute. No attribution required.
SKILL.md
OpenCode API Skill
透過 HTTP API 呼叫已啟動的 OpenCode Server,讓 OpenClaw 可以派工給 OpenCode 處理 code review 或編碼任務。
前置條件
- OpenCode Server 必須已在
http://127.0.0.1:4096啟動(會自動啟動) - 或使用
--no-auto-start手動管理模式
快速開始
Sub-agent 直接 import(推薦)
import sys
sys.path.insert(0, "C:/Users/admin/.openclaw/workspace/skills/opencode-api/scripts")
from opencode_task import run_opencode_task, OpenCodeAPI
# 單次任務
result = run_opencode_task(
prompt="請用繁體中文對以下程式碼進行 code review:\ndef foo(): pass",
model="minimax/MiniMax-M2.7",
reasoning="high",
)
print(result.text) # 回覆文字
print(result.session_id) # 可續接多輪
print(result.ok) # True/False
# 多輪對話
client = OpenCodeAPI(auto_start=True)
sid = client.create_session(title="PR Review")
r1 = client.send_message("請 review...", session_id=sid, model="minimax/MiniMax-M2.7")
r2 = client.send_message("第三點再詳細點", session_id=sid)
CLI 呼叫
python scripts/opencode_task.py --prompt "請幫我分析這個函數" --model minimax/MiniMax-M2.7 --reasoning high
Script 總覽
| 檔案 | 用途 | 推薦場景 |
|---|---|---|
opencode_task.py | 乾淨的任務封裝(推薦) | 單次/多輪對話、sub-agent import |
opencode_client.py | 完整 HTTP client | 需精細控制 API 底層 |
opencode_review.py | PR Review 專用 wrapper | 直接 review GitHub PR |
模型速查表
| 模型 ID | 名稱 | 思考支援 | 適合場景 |
|---|---|---|---|
minimax/MiniMax-M2.7 | MiniMax M2.7 | ✅ | 性價比 coding(預設) |
minimax/MiniMax-M2.5 | MiniMax M2.5 | ✅ | 中等複雜度任務 |
minimax/MiniMax-M2.7-highspeed | MiniMax M2.7 高速 | ✅ | 快速響應 |
big-pickle:high | Big Pickle High | ✅ 16K tokens | 深度分析(免費) |
big-pickle:max | Big Pickle Max | ✅ 32K tokens | 極深度推理(免費) |
查看完整模型清單:
GET /config/providers
思考深度(reasoning)
| 值 | 說明 |
|---|---|
none | 關閉 |
minimal / low | 輕量思考 |
medium | 標準(預設) |
high | 深度分析 |
xhigh | 極深度推理 |
⚡ 自動啟動 Server
所有 script 都支援自動啟動 OpenCode Server(預設開啟):
執行 script
├── 檢查 health
│ ├── ✅ 已運行 → 直接執行
│ └── ❌ 未運行 → 自動執行 opencode serve
│ └── 等待最多 15 秒直到就緒
關閉自動啟動:--no-auto-start
觸發關鍵字
| 關鍵字 | 對應行為 |
|---|---|
用 OpenCode review PR#xxx | CLI: opencode_task.py --prompt "review PR#xxx" |
用 OpenCode 分析這個檔案 | CLI: opencode_client.py --task analyze |
用 OpenCode 多輪對話 | import OpenCodeAPI + 多輪 |
OpenCode 用高思考 | --reasoning high |
依賴
# opencode_task.py:無外部依賴(標準函式庫)
# opencode_client.py:pip install requests
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