Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/phonowell/invoke-opencode-acp/claude-mdgit clone --depth 1 https://github.com/phonowell/invoke-opencode-acpWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00727 | $0.00727 |
| Opus 5 | $0.00364 | $0.00364 |
| Sonnet 5 | $0.00145 | $0.00145 |
| Haiku 4.5 | $0.00073 | $0.00073 |
Grade A, and why
invoke-opencode-acp CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
invoke-opencode-acp
Claude Code skill · 委托复杂任务至 OpenCode 子代理 · 节省 50-90% token
关键约束
精简冗余:机器可读 > 人类可读 · 符号/缩写/列表 · 删助词
冲突信代码:代码为真 · 文档描述与实现冲突时信代码
客观诚实:不主观评价 · 不因用户情绪转移立场 · 不编造事实 · 立刻暴露不确定信息
触发条件:≥2 文件修改 · 重构 · 批量操作 · 代码审查 · 多步推理 · git 操作
避免:单文件快速编辑 · 递归调用 OpenCode
Token 机制:委托至 OpenCode → 使用替代模型(GLM-4.7/Qwen)→ 仅摘要入主对话 · Tradeoff: 能力下降
TodoWrite:≥3 步骤任务必须建 todo · 实时更新状态 · 完成立即标记
子任务模型:Task 工具可用 model: "haiku" 节省成本(简单任务)
Skill 使用
调用后必须等待完成再执行其他操作 · 避免立即自行实现
技术栈
Claude Code CLI · OpenCode CLI(npm install -g opencode)· Node.js
核心命令
交互式(>30m):
node ~/.claude/skills/invoke-opencode-acp/acp_client.cjs "$PWD" "任务描述" -o /tmp/output.txt
一次性(<30m):
node ~/.claude/skills/invoke-opencode-acp/acp_client.cjs "$PWD" "任务描述" -o /tmp/output.txt -t 300
参数:-o FILE 必需 · -t SECONDS 默认 1800 · -v 详细模式→stderr
工作流
交互式检查循环:
Bash(..., run_in_background=True)→ task_idTaskOutput(task_id, block=True, timeout=300000)→ 等待 5 分钟completed→ Read 输出文件 → 返回结果running→AskUserQuestion是否继续 → 继续则回到 2- 终止 →
KillShell(task_id)自动清理
目录结构
skills/invoke-opencode-acp/
SKILL.md
acp_client.cjs
tests/
test_acp_client.js
代码规范
≥5 处非空断言立即重构类型架构(🚫 eslint-disable 批量压制)
输出格式
禁预告文字 · 状态用符号 ✓/✗/→ · 一次性批量 Edit · 数据优先 · 直达结论 · 工具间隔零输出 · 错误格式 ✗ {位置}:{类型} · 代码块零注释 · ≥2 条用列表 · 路径缩写(. 项目根 · ~ 主目录)· 禁总结性重复 · 进度 {当前}/{总数} · 提问直入
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 62 lines · 727 tokens per session scan A 86fe269055af
invoke-opencode-acp CLAUDE.md is an instructions file published in the GitHub repository phonowell/invoke-opencode-acp (9 stars, last pushed 7mo ago), licensed MIT. It adds 727 tokens to every session, about $0.0036 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
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lean-ctx copilot-instructions.md
Copilot instructions for yvgude/lean-ctx, a project described as: Control what your AI can see. LeanCTX (Lean Context) is the context intelligence layer for AI agents — one local Rust binary that decides what they read, remembers what they learn, guards what they touch, and proves what they save. 60–90% fewer tokens…
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AGENTS.md instructions for hueyexe/opencode-ensemble, covering opencode-ensemble — agent guidelines, what this is, design context, users and brand personality.
20x AGENTS.md
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