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 rules/paladini/mcp-me/use-profilegit clone --depth 1 https://github.com/paladini/mcp-meWrote 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/rules/paladini/mcp-me/use-profile)<a href="https://agentmods.dev/rules/paladini/mcp-me/use-profile"><img src="https://agentmods.dev/badge/rules/paladini/mcp-me/use-profile.svg" alt="Measured on agentmods" 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 | $0.00394 | $0.00394 |
| Opus 5 | $0.00197 | $0.00197 |
| Sonnet 5 | $0.00079 | $0.00079 |
| Haiku 4.5 | $0.00039 | $0.00039 |
Grade A, and why
use-profile 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 4d 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
You have access to an MCP server called me that exposes the user's personal profile.
Always use ask_about_me or read the MCP resources below before answering any request that could benefit from knowing who the user is — writing, code review, documentation, career questions, open-source contributions, etc.
Available MCP resources
| Resource | Contains |
|---|---|
me://identity |
Name, bio, location, contact, social links |
me://career |
Work history, job titles, companies |
me://skills |
Programming languages, tools, proficiency levels |
me://projects |
Open-source repos, articles (with full text), books, npm packages |
me://interests |
Hobbies, topics of interest |
me://personality |
Traits, values, work style |
me://goals |
Short and long-term goals |
me://faq |
Pre-answered facts about the user |
When to proactively load the profile
- Writing or editing any text (articles, READMEs, cover letters, bios)
- Answering questions about skills, experience, or projects
- Generating code in a language or framework the user uses
- Recommending tools, libraries, or approaches
- Any task where knowing the user's background would improve the answer
The ask_about_me tool
Use this tool for natural-language questions. Example invocations:
ask_about_me("What open-source projects has this person published?")ask_about_me("What articles has this person written? Include full content.")ask_about_me("What are this person's strongest programming languages?")ask_about_me("What are this person's career goals?")
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.
- 4d ago First seen · 39 lines · 394 tokens per session scan A 634007926c5d
use-profile is a cursor rule published in the GitHub repository paladini/mcp-me (18 stars, last pushed 23d ago), licensed MIT. It adds 394 tokens to every session, about $0.0020 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 2026-08-30.
Other cursor rules, from other repositories
wrapup
End-of-session wrap-up: summarizes the session and pushes a log to the project's linked NotebookLM notebook. Activate with @wrapup in chat, or "wrap up", "save this session", or "end of session".
160-workflow-orchestration
WHEN executing tasks MANAGE workflow processes for consistent memory operations.
170-protocol-enforcement-mechanisms
description: WHEN executing commands ENFORCE protocol compliance for memory bank operations globs: ["/.md", "/.mdc"] alwaysApply: true.
140-unified-command-interface
WHEN processing commands APPLY unified interface patterns for consistent memory bank operations.
150-standard-initialization-procedure
WHEN starting a new session EXECUTE initialization procedure to establish memory context.
120-error-recovery-protocols
description: WHEN verification fails PERFORM recovery operations to restore memory bank integrity globs: ["/.md", "/.mdc"] alwaysApply: true.