Attio Automation

Attio Automation is a skill for Claude Code, Codex from nevergoodstudy-hub/wechat-article-summarizer. It costs 45 tokens per session (1,576 once invoked), scanned A, a copy of Attio Automation, MIT.

An Attio integration for searching and managing people, companies, deals, notes, and other records in Attio, a customer-relationship management system.

In plain words
What is it for?
It helps find contacts and companies, query records with filters and sorting, manage notes, inspect record fields, and browse relationship data.
Why use it?
It removes the need to navigate CRM records manually for searches and filtered queries. Natural-language requests can be used after the Attio account is connected.

Skill for Claude CodeCodex

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

Good fit It helps find contacts and companies, query records with filters and sorting, manage notes, inspect record fields, and browse relationship data.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nevergoodstudy-hub/wechat-article-summarizer/attio-automation
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 nevergoodstudy-hub/wechat-article-summarizer --skill attio-automation
Clone the repo
git clone --depth 1 https://github.com/nevergoodstudy-hub/wechat-article-summarizer

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 Attio Automation

README.md
[![agentmods](https://agentmods.dev/badge/skills/nevergoodstudy-hub/wechat-article-summarizer/attio-automation/github.svg)](https://agentmods.dev/skills/nevergoodstudy-hub/wechat-article-summarizer/attio-automation)
Your own site
<a href="https://agentmods.dev/skills/nevergoodstudy-hub/wechat-article-summarizer/attio-automation"><img src="https://agentmods.dev/badge/skills/nevergoodstudy-hub/wechat-article-summarizer/attio-automation/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for Attio Automation

Your own site · 80×15
<a href="https://agentmods.dev/skills/nevergoodstudy-hub/wechat-article-summarizer/attio-automation"><img src="https://agentmods.dev/badge/skills/nevergoodstudy-hub/wechat-article-summarizer/attio-automation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,576 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 100% copy Near-identical to another mod 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 $0.00045 $0.01576
Opus 5 $0.00023 $0.00788
Sonnet 5 $0.00009 $0.00315
Haiku 4.5 $0.00005 $0.00158

Measured 5d ago against content hash d4a4a5475027, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

Attio Automation 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 5d 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.

Origin

This is a copy

100% identical to Attio Automation — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.warp/skills/attio-automation/SKILL.md · 161 lines

How it starts

The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Attio Automation

Manage your Attio CRM workspace -- fuzzy search across people and companies, run complex filtered queries, browse notes, discover object schemas, and list records -- all through natural language commands.

Toolkit docs: composio.dev/toolkits/attio


Setup

  1. Add the Composio MCP server to your client configuration:
    https://rube.app/mcp
    
  2. Connect your Attio account when prompted (OAuth authentication).
  3. Start issuing natural language commands to manage your CRM data.

Core Workflows

1. Fuzzy Search Across Records

Search for people, companies, deals, or any object by name, domain, email, phone, or social handle.

Tool: ATTIO_SEARCH_RECORDS

Example prompt:

"Search Attio for anyone named Alan Mathis"

Key parameters (all required):

  • query -- Search string (max 256 characters). Empty string returns default results.
  • objects -- Array of object slugs to search (e.g., ["people"], ["people", "companies"], ["deals"])
  • request_as -- Context: use {"type": "workspace"} for full workspace search, or specify a workspace member

2. Advanced Filtered Queries

Query records with server-side filtering, sorting, and complex conditions -- far more powerful than fuzzy search.

Tool: ATTIO_QUERY_RECORDS

Example prompt:

"Find all companies in Attio created after January 2025 sorted by name"

Key parameters:

  • object (required) -- Object slug or UUID (e.g., "people", "companies", "deals")
  • filter -- Attio filter object with operators like $eq, $contains, $gte, $and, $or
  • sorts -- Array of sort specifications with direction ("asc"/"desc") and attribute
  • limit -- Max records to return (up to 500)
  • offset -- Pagination offset

Filter examples:

{"name": {"first_name": {"$contains": "John"}}}
{"email_addresses": {"$contains": "@example.com"}}
{"created_at": {"$gte": "2025-01-01T00:00:00.000Z"}}

Read the full file on GitHub · 161 lines

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. 5d ago First seen · 161 lines · 45 tokens per session scan A d4a4a5475027

Subscribe to this mod's changes

Attio Automation is a skill published in the GitHub repository nevergoodstudy-hub/wechat-article-summarizer (5 stars, last pushed 2mo ago), licensed MIT. It adds 45 tokens to every session and 1,576 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to Attio Automation, differing in 0 lines, and is treated as a copy.

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