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VIBE-CHECK-MCP-SERVER / 道岔信号

CLEAR — 放行

给 AI 代理的导师式监督 · MCP server

拦在推理锁定之前的那根道杆

一个会在跑得太快的 AI 代理撞进过度工程化与隧道视野之前亮起信号的点：风险一升高，就让它暂停、回看、再对齐。KISS 你的过度热心的 AI 代理说再见。

面向编程、模糊任务与高风险任务。TypeScript · MIT · 维护阶段。

HALT 01

一根道杆，拦住一个坏习惯

大多数代理不是坏在能力，而是坏在停不下来。它会因为觉得自己“就快成了”，而冲过一个又一个本该折返的决策点。

Vibe Check 不是一堵墙——而是一根会放行的道杆。它不阻止你的代理工作；它只是在过度运行的那一刻，干净利落地叫停。

拦截信号 · 目标习惯

隧道视野 · 过度工程化 · 推理锁定

PROBLEM 02

惯性失控与推理锁定

复杂、长周期的代理任务里，最常见的失败来自模式惯性：代理沿着一条已经走过的旧路继续加速，于是掉进两条轨道——过度工程化把简单的事做复杂，推理锁定让想法再也不敢拐弯。

这类问题在做编程、含糊任务和高风险任务时尤其致命，因为越往前冲，纠错的成本就越高。

MECH 03

CPI 自适应中断 — 那记暂停与回看的门

核心机制是 CPI（Chain-of-Thought Interrupt）：当风险升高，它会向代理抛出一次自适应中断，让它暂停、把链式思考摊开来回看，再决定下一步——而不是一路闷头向前。

和道杆一样，这一段也只会放慢节奏，从不斩断进程。对齐与安全，从这里开始。

HOLD 04

历史连续性 —— 一条线由会话宪章守住

单次中断只是治标。真正守住基线的是跨会话的历史连续性：代理记得自己从哪里来、又要守哪条规矩，不会在新任务里把原则忘得一干二净。

Session Constitution · 每条会话的规则

通过vibe_learn（可选）沉淀教训，让宪章在后续任务中持续生效——就像道杆悬在同一根桩上，线路维持对齐。

READOUT 05

读表：加速之后，刹车生效

+27% 使用 Vibe Check 的代理，任务成功率提升

−41% 有害行为显著减少

注：上方数字来自作者团队的内部研究，未经独立第三方验证。数值以“+27%/−41%”原样记录。

GO 06

一条命令，把信号接上

无需手动克隆——npx 按需拉取包，一条命令即可通过 STDIO 或 HTTP 接入。

STDIO 接入 $ npx -y @pv-bhat/vibe-check-mcp start --stdio

HTTP 接入 · 端口 2091 $ npx -y @pv-bhat/vibe-check-mcp start --http --port 2091

多提供商 LLM：默认 Gemini，支持 OpenAI、OpenRouter、Anthropic 兼容端点；需 Node >= 20。详细接入与 install、doctor 命令见文档。

维护模式声明：项目现处于维护模式，仅发布安全与缺陷修复，功能开发已停止；v2.9.0 为最新维护版本。需自行配置 LLM API 密钥。

23:T3ad6, vibe-check-mcp-server — a crossing signal for AI agents

VIBE-CHECK-MCP-SERVER / CROSSING SIGNAL

CLEAR

Mentor-like oversight for AI agents · MCP server

The gate that stops a run-away reasoning lock

A crossing signal that halts an over-eager AI agent before tunnel vision, over-engineering and lock-in compound the cost of the work. Risk spikes → the agent pauses, looks back, re-aligns, and proceeds. KISS your over-eager AI agents goodbye.

Effective for: Coding · Ambiguous Tasks · High-Risk. TypeScript · MIT · maintenance mode.

HALT 01

One barrier against one bad habit

Most agents don’t fail for lack of ability — they fail for lack of stopping. Convinced they’re “almost there,” they blow past decision points that ought to turn them back.

Vibe Check is not a wall — it’s a barrier that opens. It won’t stop your agent from working; it cleanly halts the moment the momentum turns over-eager.

INTERCEPT · TARGETED HABITS

Tunnel vision · Over-engineering · Reasoning lock-in

PROBLEM 02

Runaway inertia and reasoning lock-in

In complex, long-horizon agent work the most common failure is pattern inertia: the agent keeps accelerating down a path it already took, until it derails into either of two rails — over-engineering that makes the simple complicated, or reasoning lock-in that never lets the plan turn.

That is exactly where coding, ambiguous tasks and high-risk tasks get dangerous, because the farther you push, the more corrective work costs.

MECH 03

The CPI adaptive interrupt — a gate to pause and reflect

The core mechanism is CPI (Chain-of-Thought Interrupt): as risk rises it throws an adaptive interrupt that makes the agent pause, lay its chain of thought flat, and re-decide — instead of barreling forward blind.

Like the beam, this stretch only slows the tempo; it never cuts the line. Alignment and safety begin here.

HOLD 04

History continuity, held by a session constitution

One interrupt treats the symptom. What holds the baseline is history continuity across sessions: the agent remembers where it came from and which rules it agreed to, so it doesn’t shed its principles the moment a new task begins.

Session Constitution · per-session rules

Through the optional vibe_learn it banks its lessons and lets the constitution hold on future tasks — as if the beam hung on the same post, keeping the line aligned.

READOUT 05

Readout: the brake lands after the push

+27% success rate across agents using Vibe Check

−41% reduction in harmful actions

Note: figures above come from the author’s own research and are not independently verified. Reported natively as “+27% / −41%.”

GO 06

One command to wire in the signal

No manual clone — npx pulls the package on demand, and one line wires you over STDIO or HTTP.

STDIO $ npx -y @pv-bhat/vibe-check-mcp start --stdio

HTTP · PORT 2091 $ npx -y @pv-bhat/vibe-check-mcp start --http --port 2091

Multi-provider LLM: Gemini by default, with OpenAI, OpenRouter and Anthropic-compatible endpoints; requires Node >= 20. See the docs for client setup plus the install and doctor commands.

Maintenance note: the project is in maintenance mode — only security and bug fixes are shipped, feature work has stopped, and v2.9.0 is the latest maintenance release. You will need your own LLM API keys.

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刻度沿纵向排列在旗杆右侧，.clear-arrow 保持可读；保持 .tie 为窄条左对齐 ledger 线（非居中卡片）。修改只作用于移动端，桌面端方位保持不变，随后重跑两个 locale 的移动视口 QA。"}]}},"after":{"qaPassed":true,"designReviewApproved":true,"qaEvidence":{"zh-CN":[{"viewport":"desktop","passed":true,"localePassed":true,"metrics":{"language":"zh-CN","h1Count":1,"h2Count":6,"sectionCount":6,"textLength":1555,"cjkCount":735,"latinLetterCount":462,"scrollWidth":1280,"clientWidth":1280,"scrollHeight":3635,"h1Top":299.1875,"bottomInset":423.765625,"brokenImageCount":0,"missingAltCount":0,"fakeControlCount":0,"emptyLinkCount":0},"screenshotHashes":{"top":"4c6ccda14a3808f26d016d22faddfde9aa58789e1f194c031276f40a89e7d98e","middle":"922c85e2e1c9d2a0cdd920ee2f4019e2e07dc6a90debc79a50bd37ba19603535","bottom":"f4fa52559fa1244f12d67bfd9a673e5094aecfa5cb7520ef548cca309758b040"},"consoleErrors":[],"networkRequests":[]},{"viewport":"mobile","passed":true,"localePassed":true,"metrics":{"language":"zh-CN","h1Count":1,"h2Count":6,"sectionCount":6,"textLength":1526,"cjkCount":731,"latinLetterCount":444,"scrollWidth":390,"clientWidth":390,"scrollHeight":4047,"h1Top":319.1875,"bottomInset":551.515625,"brokenImageCount":0,"missingAltCount":0,"fakeControlCount":0,"emptyLinkCount":0},"screenshotHashes":{"top":"8d672f242281b43d09c520f50c5ac92df2b05628f8e5ebab2e2e04fb73b0178b","middle":"7492ccb9634e245158d616f8107181be8d5140b37e70a8c82ed89a618b7f5a23","bottom":"2a6554550e8299e1d1286d96a8a6d65850dccab8294b805bfe097516047cc8e8"},"consoleErrors":[],"networkRequests":[]}],"en":[{"viewport":"desktop","passed":true,"localePassed":true,"metrics":{"language":"en","h1Count":1,"h2Count":6,"sectionCount":6,"textLength":3419,"cjkCount":0,"latinLetterCount":2651,"scrollWidth":1280,"clientWidth":1280,"scrollHeight":4350,"h1Top":299.1875,"bottomInset":423.765625,"brokenImageCount":0,"missingAltCount":0,"fakeControlCount":0,"emptyLinkCount":0},"screenshotHashes":{"top":"f8cbc26ada8ed177c1e163406e15bc4af138967ee278170bade020529c8ffc8b","middle":"a85b0a49b1d8bea867b51593e2904c8eb94467cf4a554121771133f2734133bc","bottom":"e89bd151f040235e6fc4ddb5f411a81e76eed6ca1be3deea1a8bdb63572e39df"},"consoleErrors":[],"networkRequests":[]},{"viewport":"mobile","passed":true,"localePassed":true,"metrics":{"language":"en","h1Count":1,"h2Count":6,"sectionCount":6,"textLength":3379,"cjkCount":0,"latinLetterCount":2619,"scrollWidth":390,"clientWidth":390,"scrollHeight":5129,"h1Top":338.375,"bottomInset":551.671875,"brokenImageCount":0,"missingAltCount":0,"fakeControlCount":0,"emptyLinkCount":0},"screenshotHashes":{"top":"54063638d2a758156643c18c2a6a66df8ea6384625891dc00102faa3c3c62f23","middle":"c3fa3e432281bb3d9c01b3cfba6f030ce54877cee85788cd4a7314420f919fba","bottom":"2fab5e54ed3284b55d4afa2fee48cc53cd5aa6159f008fb65362a2b7cf74c93e"},"consoleErrors":[],"networkRequests":[]}]},"visualReview":{"schemaVersion":"dodot-automated-design-review-v1","status":"approved","summary":"zh-CN.html 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