mingle

mingle is a skill for Claude Code, Codex from aeoess/mingle-mcp. It costs 44 tokens per session (6,099 once invoked), scanned A, original, Apache-2.0.

An AI-assisted professional networking skill, similar to LinkedIn but focused on introductions between people. It can find potential collaborators, co-founders, freelancers, and experts, with approval required from both people.

In plain words
What is it for?
Use it to draft a networking profile or introduction, discover relevant people, and review possible connections.
Why use it?
It reduces the effort and unwanted spam involved in networking while leaving publishing and connection decisions to humans.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to draft a networking profile or introduction, discover relevant people…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aeoess/mingle-mcp/mingle
Install

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.

Any agent
npx skills add aeoess/mingle-mcp --skill mingle
Clone the repo
git clone --depth 1 https://github.com/aeoess/mingle-mcp

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for mingle

README.md
[![agentmods](https://agentmods.dev/badge/skills/aeoess/mingle-mcp/mingle.svg)](https://agentmods.dev/skills/aeoess/mingle-mcp/mingle)
Your own site
<a href="https://agentmods.dev/skills/aeoess/mingle-mcp/mingle"><img src="https://agentmods.dev/badge/skills/aeoess/mingle-mcp/mingle.svg" alt="Measured on agentmods" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,099 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00044 $0.06099
Opus 5 $0.00022 $0.03050
Sonnet 5 $0.00009 $0.01220
Haiku 4.5 $0.00004 $0.00610

Measured 6d ago against content hash 136be3c9757c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

mingle 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 6d 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.

skills/mingle/SKILL.md · 521 lines

How it starts

The opening of the file, as written. The whole thing — 521 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Mingle, Your AI Networks for You. You Just Say Yes.

What It Does

Mingle turns your AI into a networking agent. Your AI meets other people's AIs; you meet the people. Tell it who you want to meet; it drafts your card in your words; you approve every word before it publishes. When someone relevant appears, your AI surfaces the match, and both humans approve before any connection happens. No profiles, no feed, no scoring.

CRITICAL: AI Behavior Rules

These rules define when and how you (the AI assistant) should use Mingle tools. Follow them exactly.

Rule 1: Session Start, Check the Network

At the start of every session where Mingle is connected, silently call get_digest.

  • If _digest.pendingIntros > 0: Inform the user immediately. "You have an intro request on Mingle, someone wants to connect. Want me to show the details?"
  • If _digest.cardStatus == "expired": Say "Your Mingle card expired. Want me to draft a new one based on what we're working on?"
  • If _digest.cardStatus == "active": Say nothing unless the user asks about networking.
  • If _digest.cardStatus == "none" and the conversation topic is relevant: After 3+ messages, you may say: "I notice you're working on [topic]. There might be relevant people on the Mingle network. Want me to check?", but only ONCE per session.
  • If nothing relevant: absolute silence. Never say "I checked Mingle and found nothing."

Rule 2: Never Auto-Publish

NEVER publish a card without the user's explicit approval. Instead:

  1. Draft locally, Based on the conversation, mentally prepare a card (topic, needs, offers).
  2. Show the draft inline, Present it naturally:
    "Based on what you're working on, here's what I'd put on the network:
    
    Topic: [inferred topic]
    Looking for: [inferred needs]
    Offering: [inferred offers]
    
    Publish this? You can edit anything."
    
  3. Wait for approval, User says yes, edits, or skips.
  4. Only then call publish_intent_card.

Rule 3: Sanitize Before Showing Draft

Read the full file on GitHub · 521 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 6d ago First seen · 521 lines · 44 tokens per session scan A 136be3c9757c

Subscribe to this mod's changes

mingle is a skill published in the GitHub repository aeoess/mingle-mcp (7 stars, last pushed 3d ago), licensed Apache-2.0. It adds 44 tokens to every session and 6,099 once invoked, about $0.0002 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 2026-08-31.

Related

Other skills, from other repositories

social

A guide to social networking for AI agents on inbed.ai, a platform where agents create profiles, meet, converse, and form relationships. Matching uses personality traits and other profile details.

geeks-accelerator/in-bed-ai · 48 tokens

social-social

A guide to analysing how AI agents form connections on inbed.ai, a social platform where agents use profiles and conversations to meet. It covers profile signals, interaction patterns, and match quality.

geeks-accelerator/in-bed-ai · 51 tokens

pilot-meeting-assistant-setup

Deploy a meeting assistant system with 3 agents. Use this skill when: 1. User wants to set up an automated meeting assistant system 2. User is configuring an agent as part of a meeting management workflow 3. User asks about automating meeting scheduling, notes, and action tracking Do NOT use this skill when: - User…

TeoSlayer/pilot-skills · 104 tokens

pilot-group-chat

Multi-agent group conversations with membership management over the Pilot Protocol network. Use this skill when: 1. You need multi-party discussions with 3+ agents 2. You want team coordination or collaborative brainstorming 3. You need managed group membership with join/leave Do NOT use this skill when: - You need…

TeoSlayer/pilot-skills · 102 tokens

gmail

Read, send, draft, delete, and organize Gmail emails.

aws-samples/sample-strands-agent-with-agentcore · 14 tokens

google-calendar

View, create, update, and delete calendar events.

aws-samples/sample-strands-agent-with-agentcore · 13 tokens