# Ethics Vibe Check **A gut-check button for AI conversations.** MCP tools that run an independent second-opinion model over an exchange so you can catch sycophancy, confirmation bias, or quiet drift — when you ask, not as ambient surveillance. [![Install MCP Server](https://cursor.com/deeplink/mcp-install-dark.svg)](https://cursor.com/install-mcp?name=ethics-vibe-check&config=eyJjb21tYW5kIjoibnB4IC15IEByLWh1aWp0cy9ldGhpY3MtdmliZS1jaGVjayJ9) [![npm version](https://img.shields.io/npm/v/@r-huijts/ethics-vibe-check.svg)](https://www.npmjs.com/package/@r-huijts/ethics-vibe-check) [![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](LICENSE) Package: [`@r-huijts/ethics-vibe-check`](https://www.npmjs.com/package/@r-huijts/ethics-vibe-check) · Repo: [`r-huijts/ethics-check-mcp`](https://github.com/r-huijts/ethics-check-mcp) --- ## What it is LLMs are trained to be helpful. That often means they agree too easily and let a chat slide toward whatever you already believe. This server does **not** intercept every turn. It exposes tools you (or your host, when you ask) call mid-conversation: > “Sanity check that.” · “Play devil’s advocate.” · “Are we drifting?” A **second model** grades the exchange. Reuse (or omit) a session id to get a **`sessionTrend`** — `escalating` / `improving` / `stable` — so creep shows up as a signal, not a pile of disconnected snapshots. --- ## Quick start ### 1. MCP server **Cursor one-click** (above) installs the server command only. Afterward, open MCP settings and add env (Gemini by default): ```json { "mcpServers": { "ethics-vibe-check": { "command": "npx", "args": ["-y", "@r-huijts/ethics-vibe-check"], "env": { "ETHICS_PROVIDER": "gemini", "GEMINI_API_KEY": "your_actual_gemini_api_key_here" } } } } ``` **Local second opinion** (no cloud): ```json "env": { "ETHICS_PROVIDER": "ollama", "OLLAMA_MODEL": "llama3.2", "OLLAMA_BASE_URL": "http://127.0.0.1:11434" } ``` **CLI:** ```bash npm install -g @r-huijts/ethics-vibe-check npx @r-huijts/ethics-vibe-check ``` Full env reference: [`env.example`](env.example). ### 2. Companion skill (recommended) The skill teaches the host *when* to call tools, how to treat `sessionTrend`, and when to record feedback. Prefer it over a fat always-on rule. ```bash # global install: ethics-vibe-check-install-skill # from a clone / local package: npm run install-skill # one-shot without a global install: npx -y -p @r-huijts/ethics-vibe-check ethics-vibe-check-install-skill ``` Installs [`skills/ethics-vibe-check/SKILL.md`](skills/ethics-vibe-check/SKILL.md) → `~/.cursor/skills/ethics-vibe-check/` (override with `CURSOR_SKILLS_DIR`). Optional always-on checkpoint templates: [`docs/system-prompts.md`](docs/system-prompts.md). --- ## Tools | Tool | Use when | |---|---| | `ethics_check` | Broader scan of an exchange (bias, privacy, manipulation, confirmation bias, …). Returns `overallRisk`, concerns (may be empty), `sessionTrend`. | | `critical_thinking` | Focused sycophancy / one-sidedness pass on one AI reply. Returns `confirmationBiasRisk`, `sessionTrend`. | | `ethics_guide` | Multi-framework advice for a dilemma (not a mid-chat vibe check). | | `ethics_learn` | Manually log a concern. Usually unnecessary if `autoStore` is on. | | `ethics_feedback` | Thumbs-up/down on a prior recommendation so `successScore` weighting reflects what helped. | **Session / drift** - Pass the same `sessionId` across checks in one chat when you can. - If omitted, the server uses a **process-scoped default** (typical MCP hosts run one process per conversation). - Override with `ETHICS_SESSION_ID` for evals or known ids. **Calibration** Prompts are written so ordinary helpful replies can return **low risk and empty findings**. Empty is a valid gut-check result — not a failure. --- ## Providers | `ETHICS_PROVIDER` | Needs | Notes | |---|---|---| | `gemini` (default) | `GEMINI_API_KEY` | Cloud second opinion. Optional `ETHICS_MODEL` / `GEMINI_MODEL`. | | `ollama` | Local Ollama | `OLLAMA_BASE_URL`, `OLLAMA_MODEL` or `ETHICS_MODEL`. | | `mock` | nothing | Deterministic offline answers for tests/demos only. | Storage defaults to `~/.ethics-vibe-check/data` (`ETHICS_DATA_DIR` to override). With Gemini, analysis leaves your machine — don’t paste secrets you wouldn’t send to a third-party API. Use Ollama for local-only checks. --- ## Example flow 1. Mid-chat: “Sanity check that last answer — did you just agree with me too easily?” 2. Host calls `critical_thinking` with the reply + your request (session id optional but nice). 3. If `sessionTrend.riskTrend` is `escalating`, the host should say so up front. 4. Later: “That pushback helped.” → `ethics_feedback` with `useful: true`. --- ## Develop / verify ```bash npm install cp env.example .env # or ETHICS_PROVIDER=mock for offline work npm run build npm run test:all # session unit tests + calibration fixtures (mock) ``` | Script | What | |---|---| | `npm run test:session` | Drift, tags, feedback, session-id default | | `npm run test:calibration` | 8 false-positive / sycophancy fixtures via `mock` | | `npm run test:calibration:live` | Same fixtures against your configured provider | | `npm run install-skill` | Copy companion skill into Cursor skills dir | More detail: [`USAGE.md`](USAGE.md). --- ## Who this is for **Yes if** you want a deliberate pause when a chat feels too comfortable, and you’ll act on an uncomfortable answer. **No if** you want the model to always agree, or you need fully automatic enforcement with zero prompting — that’s a different product. --- ## License MIT © 2024–2026 *The point isn’t to be right. The point is to be thoughtful.*