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.
git 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/commands/paladini/mcp-me/introduce-me)<a href="https://agentmods.dev/commands/paladini/mcp-me/introduce-me"><img src="https://agentmods.dev/badge/commands/paladini/mcp-me/introduce-me.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 5.1 | $0.00018 | $0.00147 |
| Opus 5 | $0.00009 | $0.00073 |
| Sonnet 5 | $0.00004 | $0.00029 |
| Haiku 4.5 | $0.00002 | $0.00015 |
Grade A, and why
introduce-me 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 8d 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
Generate a personal introduction for the user using the introduce_me MCP prompt from the me server.
Context or audience (if provided): $ARGUMENTS
Steps:
- Call the
introduce_meprompt on themeMCP server. - If additional context was provided in $ARGUMENTS, tailor the tone and emphasis accordingly.
- Present the introduction ready to copy-paste.
If the me MCP server is not connected, tell the user to install mcp-me (npx -y mcp-me serve) and run mcp-me init first.
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.
- 8d ago First seen · 15 lines · 18 tokens per session scan A 319fb3a6b4d5
introduce-me is a command published in the GitHub repository paladini/mcp-me (18 stars, last pushed 28d ago), licensed MIT. It adds 18 tokens to every session and 147 once invoked, about $0.0001 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 commands, from other repositories
setup
Set up Duel Agents routing with your Duel API key.
feature-discover
Phase 1.5 of develop: Informed discovery, disambiguation, 7-category questions, understanding document, devil's advocate.
advanced-code-review-context
Advanced Code Review Phase 2: Context Analysis - load previous reviews, PR history, declined items.
docs-review
Phase 4 of documenting-projects: Quality gate with 8 measurable criteria and iteration. Triggers: '/docs-review', invoked by documenting-projects orchestrator.
crystallize-verify
Adversarial review of a crystallized document against its original. Use when crystallize.md invokes pre-delivery verification. Receives original + crystallized documents; returns PASS or FAIL with findings.
code-review-give
Give mode for code-review: Review someone else's code with multi-pass analysis and structured recommendations.