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/privacy-firstgit 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/privacy-first)<a href="https://agentmods.dev/rules/paladini/mcp-me/privacy-first"><img src="https://agentmods.dev/badge/rules/paladini/mcp-me/privacy-first.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 | $0.00000 | $0.00181 |
| Opus 5 | $0.00000 | $0.00090 |
| Sonnet 5 | $0.00000 | $0.00036 |
| Haiku 4.5 | $0.00000 | $0.00018 |
Grade A, and why
privacy-first 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
When editing mcp-me profile YAML files:
- All profile data stays local in
~/.mcp-me(orMCP_ME_PROFILE_DIR) — nothing is uploaded to any cloud. - Profile files are:
identity.yaml,career.yaml,skills.yaml,interests.yaml,personality.yaml,goals.yaml,projects.yaml,faq.yaml. - Configuration lives in
.mcp-me.yaml(generators and plugins) — separate from profile data. - Run
mcp-me validateafter edits to check schema compliance. - Run
mcp-me generateto refresh profile data from public APIs listed in.mcp-me.yaml.
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 · 13 lines · 0 tokens per session scan A 761fad4d6d78
privacy-first is a cursor rule published in the GitHub repository paladini/mcp-me (18 stars, last pushed 23d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 181 tokens. 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
cursorrules
Decide single- or multi-workstream (look at file naming under brain/).
learned-conventions
从对话反馈中积累的编码约定和偏好.
notebooklm
Full programmatic access to Google NotebookLM with per-project notebooks. Activate by mentioning @notebooklm in chat, or with phrases like "init notebooklm", "sync sources", "create a podcast about X", or "ask the notebook".
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".
200-quality-verification-procedures
description: WHEN verifying design quality APPLY systematic procedures for validation globs: ["/.md", "/.mdc"] alwaysApply: true.
160-workflow-orchestration
WHEN executing tasks MANAGE workflow processes for consistent memory operations.