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 skills add JaylanJerry/codex-agent-bridge --skill agent-bridgegit clone --depth 1 https://github.com/JaylanJerry/codex-agent-bridgeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/jaylanjerry/codex-agent-bridge/agent-bridge)<a href="https://agentmods.dev/skills/jaylanjerry/codex-agent-bridge/agent-bridge"><img src="https://agentmods.dev/badge/skills/jaylanjerry/codex-agent-bridge/agent-bridge/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/jaylanjerry/codex-agent-bridge/agent-bridge"><img src="https://agentmods.dev/badge/skills/jaylanjerry/codex-agent-bridge/agent-bridge.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What 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 5.1 | $0.00057 | $0.01162 |
| Opus 5.5 | $0.00023 | $0.00465 |
| Sonnet 5.5 | $0.00011 | $0.00232 |
| Haiku 4.5 | $0.00006 | $0.00116 |
Grade A, and why
agent-bridge 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Bridge
Codex 是 Supervisor。Worker 是外部完整 Coding Agent。Bridge 不调用 LLM。
MCP server 名:agent-bridge
工具前缀:bridge_*
安装:npx -y codex-agent-bridge,然后新开 Codex。
什么时候用
用户要改一个 git 仓库,且应该由 Claude Code 或 DeepSeek Harness 执行。
什么时候不用
- 只问问题、读代码、做设计
- 没有 git 仓库
- OpenCode(当前 DEFERRED)
- Codex 自己改当前工作区即可
闭环
bridge_run
→ 若 state=WAITING_FOR_INPUT:读 pendingInput.options,bridge_respond(optionId + stateVersion)
→ 若 state=TASK_TIMED_OUT:wait 预算到了,Worker 已停,worktree 保留。读 ReviewPacket,然后 continue 或 reject
→ 重复直到 AWAITING_REVIEW
→ 读 structuredContent.reviewPacket(含 verification)
→ verification.passed=false 时不要 approve,除非用户明确要求
→ 不通过:bridge_continue(notes + stateVersion)
→ 再读 ReviewPacket(continue 过程中也可能再 WAITING_FOR_INPUT)
→ 通过:bridge_approve(stateVersion)
→ 用户要落到当前分支时:bridge_apply(cherry-pick,不是 merge)
worker:调试用 replay;闸门自检可用 fake;真干活用 claude 或 deepseek。V1 只选 worker。不要传、不要编造 model / provider / effort。Agent Bridge不管理DeepSeek model/provider/reasoning effort。DeepSeek effective route由运行中的Harness ACP composition决定。当前legacy integration使用上游composition配置。Claude Code 沿用其原生配置。Claude 背后的官方 Anthropic、CC Switch 或其他第三方 Provider 是 Worker 内部实现,不要猜测 effective upstream model。
项目里如果有 .agent-bridge/verify.json,bridge_run 会默认跑其中全部 verifyId。也可显式传 verifyIds。示例:templates/verify.json。
破坏性调用必须带当前 task.stateVersion。冲突时不要重试旧版本。
每次 bridge_* 任务调用都必须带同一个 project 路径。任务 UUID 的字段名是 task,不是 taskId。bridge_respond 示例:project + task + stateVersion + optionId。漏掉 project 会查到空任务库或报 journal 不存在,看起来像状态丢失。
clientRequestId 相同且内容相同会返回同一 task;内容不同会 TASK_ALREADY_EXISTS。
MCP 默认 permissionMode=gate:Worker 要写文件/跑命令时会停在 WAITING_FOR_INPUT,不要自动当任务完成。选 allow_once,除非用户明确禁止。optionId 以 pendingInput.options 为准(Claude 可能是 allow 而不是 allow-once)。没有 live waiter 时(Core 重启)不要 respond,改 bridge_continue。
timeoutMs 到期会停 Worker、保留 worktree,状态变成 TASK_TIMED_OUT。这不是完成。可以 bridge_continue 或 bridge_reject。
CLI 默认 auto(一次进程无法跨调用停闸)。
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.
- 1mo ago Changed 854e34f0eade
- 1mo ago First seen · 71 lines · 57 tokens per session scan A 532b063827b7
agent-bridge is a skill published in the GitHub repository JaylanJerry/codex-agent-bridge (0 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 57 tokens to every session and 1,162 once invoked, about $0.0002 per session on Opus 5.5. 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.
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