Dear User

Created By
bleedmode4 days ago
Tells you how you and your Claude agent actually work together. Reads your CLAUDE.md, hooks, skills, memory, and scheduled tasks — then writes you a letter. Three core tools: collab (collaboration scoring + lint), security (secrets scan, prompt-injection surfaces, rule conflicts), and health (orphan jobs, overlap, structural drift). Local-only — no API keys, no data leaves your machine. Source: github.com/bleedmode/dearuser
Overview

Dear User

Your AI agent works for you — but how well do you work together?

Dear User is an open-source tool that audits your Claude Code setup and tells you exactly what to fix. It scores your collaboration, finds leaked secrets and config conflicts, and checks system health — all locally, nothing uploaded unless you explicitly share your Wrapped card.

claude mcp add dearuser -- npx @poisedhq/dearuser-mcp

Then ask Claude: "Analyze my collaboration with Claude"

Landing: dearuser.ai · Feedback: use the feedback tool in Claude, or open an issue


What it does

Dear User is an MCP server (Model Context Protocol — the plugin system Claude Code and Claude Desktop use). Once installed, it shows up as a set of tools your agent can call. No GUI, no sign-up, no cloud account.

Three local reports, one shareable Wrapped card, one feedback channel:

ToolWhat it doesExample prompt
collabFull collaboration report — persona, 0-100 score, friction patterns, specific recommendations"How good is my Claude setup?"
securityLeaked secrets, prompt-injection surfaces, rule conflicts in your agent contract (CLAUDE.md or AGENTS.md)"Check my config for leaked API keys"
healthStructural coherence — orphan scheduled tasks, overlapping skills, dead hooks"Is anything broken in my setup?"
wrappedSpotify-style shareable stats card — scores + counts + persona. Opt-in public URL via share_report."Give me my Dear User Wrapped"
feedbackSend a note to the Dear User inbox"Send feedback: the health report could be shorter"

Plus helpers: onboard (7-step guided setup), history (trend without re-scanning), help (menu), implement_recommendation, dismiss_recommendation, share_report (Wrapped-only upload).

Launch highlights

  • Shareable Wrapped — run wrapped, then share_report to get a dearuser.ai/r/<token> URL for your stats card. Anonymized before upload (paths collapsed to basenames, emails stripped, secrets redacted). Collab/security/health reports stay local — findings can carry business context that isn't safe to auto-share.
  • 12-category secret scanner — OpenAI, Anthropic, GitHub, AWS, Stripe, Slack, Google, Supabase, Vercel, private keys, generic env secrets, bearer tokens. Scans CLAUDE.md / AGENTS.md, memory files, skills, hooks.
  • AGENTS.md native support — first-class input alongside CLAUDE.md. Works out of the box for Cursor, Codex, Aider, Cline, Zed and anyone following the Linux Foundation cross-tool standard. Both files in the same directory? We merge them.
  • Semantic conflict detection (new) — finds rules that contradict each other even when they don't share keywords. "Commit often" vs. "ask before commit" gets flagged.
  • Score calibrated against reality — two studies: 988 public Claude Code setups with substrate committed (median 32/100, max 63) and 2,895 standalone CLAUDE.md files (median 18, max 60). The substrate corpus is the apples-to-apples benchmark for live scores. See research/calibration/ for both studies.

Install

One command per client. Full guide: docs/install.md.

Claude Code (CLI)

claude mcp add dearuser -- npx @poisedhq/dearuser-mcp

Claude Desktop — add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "dearuser": {
      "command": "npx",
      "args": ["@poisedhq/dearuser-mcp"]
    }
  }
}

Cursor, Windsurf, Cline, Zed — see docs/install.md.

Optional: install the slash commands (see Commands for the full list) so you can type /dearuser-collab instead of asking in prose:

npx -p @poisedhq/dearuser-mcp dearuser-install-skills

Your first 5 minutes

After installing, restart your client and try these in order:

  1. Baseline scan:

    Run Dear User collab on this project
    

    You'll get a persona (Vibe Coder / Senior Developer / Indie Hacker / Venture Studio / Team Lead), a 0-100 score across 7 categories, and 3-10 concrete recommendations.

  2. Security sweep:

    Run Dear User security
    

    Checks your agent contract (CLAUDE.md or AGENTS.md), memory, skills and hooks for leaked tokens, injection surfaces and rule conflicts.

  3. Share the result (optional):

    Share my collab report
    

    Returns a dearuser.ai/r/<token> link. Anonymized before upload. You choose whether to paste it anywhere.

Example output from collab:

Persona: Indie Hacker (87% confidence)
Score:   73 / 100

Top friction:
  • Quality Standards — no test-before-commit rule in CLAUDE.md
  • Memory Health    — 2 memory files haven't been touched in 90+ days
  • Communication    — no language preference stated (English vs Danish mixing)

Recommendations (3 shown, 5 total):
  1. Add a "Session start protocol" block to CLAUDE.md  (apply with: implement_recommendation)
  2. Rotate the OpenAI key leaked in ~/.claude/memory/api-notes.md
  3. Merge overlapping skills: deploy-check and ship-check share 80% of their rules

Commands

Eight slash commands ship with Dear User. Ask your agent by name, or type the slash command if you installed them with dearuser-install-skills.

CommandWhat it does
/dearuser-collabCollaboration analysis — persona, 0-100 score across 7 categories, prioritized recommendations.
/dearuser-healthSystem health — orphan jobs, overlap, stale schedules, missing MCP registrations, reconciliation gaps.
/dearuser-securitySecret scan, prompt-injection surfaces, and rule conflicts in your agent contract.
/dearuser-wrappedShareable collaboration stats in a Spotify-Wrapped style card.
/dearuser-onboardConversational 7-step setup for first-time users.
/dearuser-historyShow your last reports, score trend over time, or what changed since the last run — no re-scan.
/dearuser-feedbackSend a short note (bug, request, reaction) to the Dear User founders.
/dearuser-helpShow what Dear User can do and list every tool.

Three in-chat actions the agent can call for you: share_report (upload a Wrapped card to dearuser.ai/r/<token>), implement_recommendation (apply a pending recommendation), dismiss_recommendation (mark one irrelevant).

Privacy

Dear User is local-first. Your scans stay on your machine:

  • Your agent contract (CLAUDE.md or AGENTS.md), memory, skills, hooks and session metadata are read but never uploaded
  • Results are stored in ~/.dearuser/dearuser.db (SQLite, WAL mode)
  • The optional localhost dashboard reads from that DB — nothing is transmitted
  • Dear User reads session metadata only (counts, lengths) — never your actual conversation content
  • No API keys required, no sign-up, no telemetry

The only exceptions are things you explicitly trigger:

  • share_report (Wrapped only) — your Wrapped card is anonymized (paths collapsed, emails stripped, anything matching our secret patterns redacted) and uploaded to dearuser.ai so you can share a URL. Your local DB is not modified. You can set an expires_at to auto-expire the link. Collab/security/health reports are NOT shareable — findings can carry business context (project names, client names, architecture notes) we don't think should live on a public URL.
  • feedback — when you call the feedback tool, your message goes to our Supabase inbox. That's the whole point of the tool. We don't attach your scans or files — only the text you write.

No other tool transmits anything. If share_report isn't configured with DEARUSER_SUPABASE_URL + DEARUSER_SUPABASE_SERVICE_KEY, it errors out cleanly and the rest of Dear User keeps working.

Full privacy details: docs/privacy.md.

How it works

Your files (CLAUDE.md or AGENTS.md, memory, hooks, skills, sessions)
    Scanner ──► Parser ──► Engines (scoring, secrets, conflicts, health)
 Persona detection → Scoring → Gap analysis → Recommendations
    Feedback loop (tracks which recommendations you implemented)
    ~/.dearuser/dearuser.db  ←  dashboard reads from here
  • 5 personas detected from your setup — each gets tailored recommendations
  • 7 scoring categories: Role Clarity, Communication, Autonomy Balance, Quality Standards, Memory Health, System Maturity, Coverage
  • Feedback loop: Dear User remembers what it recommended. Next run, it checks which ones you implemented and shows the score delta.

Who it's for

  • "Vibe coders" — you prompt Claude and ship product, but you're never quite sure if your setup is actually working. Dear User tells you.
  • Senior developers — you want a fast audit for leaked secrets, config drift and rule conflicts without wiring up a custom lint pipeline.
  • Indie hackers / solo founders — you've accumulated hooks, skills and memory across projects. Dear User surfaces what's orphaned or contradicting itself.
  • Team leads — you want a local audit of your team's shared agent setup. Collab, security and health reports stay on your machine; only your personal Wrapped card can be shared publicly.

Repository layout

  • mcp/@poisedhq/dearuser-mcp npm package (the MCP server). See mcp/README.md for development notes.
  • web/dearuser.ai landing + share-report pages (Astro).
  • docs/ — install guide, privacy doc, per-platform setup (Supabase/GitHub/Vercel for the optional security platform advisors).
  • research/ — calibration data + architecture notes we're willing to share.

Contributing

See CONTRIBUTING.md. Bug reports and small fixes welcome via GitHub issues and PRs.

License

Dear User is MIT-licensed. See LICENSE.

Open-core commitment: everything in this repo is MIT and stays MIT. If we ever build team or hosted features (agency dashboards, cross-project trend lines, vertical-specific benchmarks), they'll live in separate repos with their own license — never by pulling pieces out of this one.

Server Config

{
  "mcpServers": {
    "dearuser": {
      "command": "npx",
      "args": [
        "-y",
        "@poisedhq/dearuser-mcp@latest"
      ]
    }
  }
}
Project Info
Created At
4 days ago
Updated At
a day ago
Author Name
bleedmode
Star
-
Language
-
License
-
Category

Recommend Servers

View All
奇门遁甲
@colorwlof

# 小奇智算 API 能力 | Xiaoqi Intelligent Calculation API Skill GET APIKEY:https://www.xiaoqizhisuan.cn/account.html GET HELP: https://www.xiaoqizhisuan.cn/help.html en: Official Xiaoqi Intelligent Calculation API for BaZi and Qi Men Dun Jia. This service requires XIAOQIZHISUAN_API_KEY credential for authentication. zh: 小奇智算官方API,提供八字、奇门遁甲测算服务,需配置XIAOQIZHISUAN_API_KEY密钥鉴权。 提供专业的奇门遁甲排盘与解盘服务,支持7个MCP工具: # 可用工具 | Available Tools ### 1. bazi_dayun - 八字大运查询 | BaZi Great Fortune Query ``` 价格 | Price: ¥0.2 / time / 次 参数 | Parameters: year (integer, 必填) 出生年(公历) month (integer, 必填) 出生月 day (integer, 必填) 出生日 hour (integer, 必填) 出生时(0-23) xingbie (string, 必填) 性别("男" / "女") 返回 | Return: success, cost, balance, bazi, dayun, error ``` 实测结果 | real test: https://www.xiaoqizhisuan.cn/examples/example_1_bazi_dayun.html ### 2. qimen_paipan - 奇门排盘(JSON 数据)| Qi Men Chart Generation (JSON Data) ``` 价格 | Price: ¥0.5 / time / 次 参数 | Parameters: year (integer, 必填) 年 month (integer, 必填) 月 day (integer, 必填) 日 hour (integer, 必填) 时(0-23) minute (integer, 选填, 默认0) 分 number (integer, 选填, 默认1) 排盘方法(1=拆补法, 2=置润法) 返回 | Return: success, cost, balance, 数据, error ``` 实测结果 | real test: https://www.xiaoqizhisuan.cn/examples/example_2_qimen_paipan.html ### 3. qimen_paipan_image - 奇门排盘+HTML网页图 | Qi Men Chart Generation + HTML Webpage Chart ``` 参数 | Parameters: year (integer, 必填) 年 month (integer, 必填) 月 day (integer, 必填) 日 hour (integer, 必填) 时(0-23) minute (integer, 选填, 默认0) number (integer, 选填, 默认1) 返回 | Return: success, cost, balance, 数据, html_url, error ``` 实测结果 | real test: https://www.xiaoqizhisuan.cn/examples/example_3_qimen_paipan_image.html ### 4. qimen_jiepan - 即时盘解析准备 | Immediate Chart Analysis Preparation ``` 价格 | Price: ¥1.0 / time / 次 参数 | Parameters: year, month, day, hour (integer, 必填) 起盘时间 minute (integer, 选填, 默认0) number (integer, 选填, 默认1) question (string, 必填) 返回 | Return: success, cost, balance, html_url, system_prompt, user_prompt, error ``` 实测结果 | real test: https://www.xiaoqizhisuan.cn/examples/example_4_qimen_jiepan.html ### 5. qimen_jiepan_lifetime - 终身盘解析准备 | Lifetime Chart Analysis Preparation ``` 价格 | Price: ¥1.2 / time / 次 参数 | Parameters: year, month, day, hour (integer, 必填) xingbie (string, 必填) 性别("男"/"女") minute (integer, 选填, 默认0) number (integer, 选填, 默认1) question (string, 必填) 返回 | Return: success, cost, balance, bazi, dayun, html_url, system_prompt, user_prompt, error ``` 实测结果 | real test: https://www.xiaoqizhisuan.cn/examples/example_5_qimen_jiepan_lifetime.html ### 6. qimen_full - 即时局完整解盘 | Complete Immediate Chart Interpretation ``` 价格 | Price: ¥1.5 / time / 次 参数 | Parameters: year, month, day, hour (integer, 必填) minute (integer, 选填, 默认0) number (integer, 选填, 默认1) question (string, 必填) 返回 | Return: success, cost, balance, html_url, system_prompt, user_prompt, jiepan_result, error ``` 实测结果 | real test: https://www.xiaoqizhisuan.cn/examples/example_6_qimen_full.html ### 7. qimen_full_lifetime - 终身局完整解盘 | Complete Lifetime Chart Interpretation ``` 价格 | Price: ¥2.0 / time / 次 参数 | Parameters: year, month, day, hour (integer, 必填) xingbie (string, 必填) 性别("男"/"女") minute (integer, 选填, 默认0) number (integer, 选填, 默认1) question (string, 必填) 返回 | Return: success, cost, balance, bazi, dayun, html_url, system_prompt, user_prompt, jiepan_result, error ``` 实测结果 | real test: https://www.xiaoqizhisuan.cn/examples/example_7_qimen_full_lifetime.html 🔗 https://www.xiaoqizhisuan.cn/mcp

2 days ago
Tavily Mcp
@tavily-ai

JavaScript
a year ago