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 skills add openteams-lab/openteams --skill attio-automationgit clone --depth 1 https://github.com/openteams-lab/openteamsWrote 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/skills/openteams-lab/openteams/attio-automation)<a href="https://agentmods.dev/skills/openteams-lab/openteams/attio-automation"><img src="https://agentmods.dev/badge/skills/openteams-lab/openteams/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.
<a href="https://agentmods.dev/skills/openteams-lab/openteams/attio-automation"><img src="https://agentmods.dev/badge/skills/openteams-lab/openteams/attio-automation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00045 | $0.01576 |
| Opus 5 | $0.00023 | $0.00788 |
| Sonnet 5 | $0.00009 | $0.00315 |
| Haiku 4.5 | $0.00005 | $0.00158 |
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 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.
Copies of this mod
4 near-identical copies found in the catalogue:
- Attio Automation — 100% identical, 0 lines differ
- attio-automation — 100% identical, 2 lines differ
- Attio Automation — 100% identical, 0 lines differ
- Attio Automation — 100% identical, 0 lines differ
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
- Add the Composio MCP server to your client configuration:
https://rube.app/mcp - Connect your Attio account when prompted (OAuth authentication).
- 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,$and,$orsorts-- Array of sort specifications withdirection("asc"/"desc") andattributelimit-- 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"}}
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 · 161 lines · 45 tokens per session scan A d4a4a5475027
Attio Automation is a skill published in the GitHub repository openteams-lab/openteams (612 stars, last pushed today), licensed Apache-2.0. 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. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
saga-orchestration
Implement saga patterns for distributed transactions and cross-aggregate workflows. Use this skill when implementing distributed transactions across microservices where 2PC is unavailable, designing compensating actions for failed order workflows that span inventory, payment, and shipping services, building…
task-coordination-strategies
Decompose complex tasks, design dependency graphs, and coordinate multi-agent work with proper task descriptions and workload balancing. Use this skill when breaking down work for agent teams, managing task dependencies, or monitoring team progress.
nx-workspace-patterns
Configure and optimize Nx monorepo workspaces. Use when setting up Nx, configuring project boundaries, optimizing build caching, or implementing affected commands.
pipeline-conductor
Use when a pipeline conductor session is being seeded, or when inspecting/debugging one. Operating procedure for the kirocrew-pipeline-conductor agent - run one issue/PR pipeline on one repository as a supervised fleet. Auto-pick items, preflight every candidate to one deterministic claim verdict, stand up one worker…
babysit
Use when the user says "babysit", "monitor", "keep checking", "keep an eye on", "loop on this PR", "let me know when", or wants polling that outlives a wait+poll window. Same-session monitoring loop for PRs, CI runs, tickets, and deployments using the monitorstart / monitorupdate / autonudgestop MCP tools. The loop…
goal-ledger-conductor
Use when the user hands over a goal too large for one session ("clear the flaky-test backlog", "take this feature from design to PRs", "push these N PRs green") and wants the fleet's state to be readable rather than inferred. Own a long-horizon goal end to end while tracking it in the work ledger - decompose it into…