linear

linear is a skill for Claude Code, Codex from CraftOS-dev/CraftBot. It costs 90 tokens per session (4,030 once invoked), scanned B, original, MIT.

An integration for Linear, a project-management tool, that lets an agent work with issues, projects, teams, cycles, labels, and comments through its API.

In plain words
What is it for?
Create, update, search, and organize Linear issues; manage projects, teams, cycles, labels, and comments.
Why use it?
It avoids switching between your coding tools and Linear or manually copying work details. Managed sign-in handles the connection to Linear.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/craftos-dev/craftbot/linear-api
Any agent
npx skills add CraftOS-dev/CraftBot --skill linear-api
Clone the repo
git clone --depth 1 https://github.com/CraftOS-dev/CraftBot

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 linear

README.md
[![agentmods](https://agentmods.dev/badge/skills/craftos-dev/craftbot/linear-api.svg)](https://agentmods.dev/skills/craftos-dev/craftbot/linear-api)
Your own site
<a href="https://agentmods.dev/skills/craftos-dev/craftbot/linear-api"><img src="https://agentmods.dev/badge/skills/craftos-dev/craftbot/linear-api.svg" alt="Measured on agentmods" height="20"></a>
Per session 90 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,030 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 findings. Scan, not verified.
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 $0.00090 $0.04030
Opus 5 $0.00045 $0.02015
Sonnet 5 $0.00018 $0.00806
Haiku 4.5 $0.00009 $0.00403

Measured yesterday against content hash 6255f2618b5b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade B, and why

linear scanned grade B with 2 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 yesterday.

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.

Sends data to an external URLmediumData exfiltration

A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.

response = requests.post( "https://gateway.maton.ai/linear/graphql",

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

import urllib.request, os, json
skills/linear-api/SKILL.md · 571 lines

How it starts

The opening of the file, as written. The whole thing — 571 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Linear

Access the Linear API with managed OAuth authentication. Query and manage issues, projects, teams, cycles, labels, and comments using GraphQL.

Quick Start

# Get current user
python <<'EOF'
import urllib.request, os, json
data = json.dumps({'query': '{ viewer { id name email } }'}).encode()
req = urllib.request.Request('https://gateway.maton.ai/linear/graphql', data=data, method='POST')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
req.add_header('Content-Type', 'application/json')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Base URL

https://gateway.maton.ai/linear/graphql

All requests use POST to the GraphQL endpoint. The gateway proxies requests to api.linear.app and automatically injects your OAuth token.

Authentication

All requests require the Maton API key in the Authorization header:

Authorization: Bearer $MATON_API_KEY

Environment Variable: Set your API key as MATON_API_KEY:

export MATON_API_KEY="YOUR_API_KEY"

Getting Your API Key

  1. Sign in or create an account at maton.ai
  2. Go to maton.ai/settings
  3. Copy your API key

Connection Management

Manage your Linear OAuth connections at https://ctrl.maton.ai.

List Connections

python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://ctrl.maton.ai/connections?app=linear&status=ACTIVE')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Create Connection

python <<'EOF'
import urllib.request, os, json
data = json.dumps({'app': 'linear'}).encode()
req = urllib.request.Request('https://ctrl.maton.ai/connections', data=data, method='POST')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
req.add_header('Content-Type', 'application/json')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Read the full file on GitHub · 571 lines

Files

What ships with it

3 files 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. yesterday First seen · 571 lines · 90 tokens per session scan B 6255f2618b5b

Subscribe to this mod's changes

linear is a skill published in the GitHub repository CraftOS-dev/CraftBot (378 stars, last pushed 2d ago), licensed MIT. It adds 90 tokens to every session and 4,030 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Related

Other skills, from other repositories

turix-mac

Computer Use Agent (CUA) for macOS automation using TuriX. Use when you need to perform visual tasks on the desktop, such as opening apps, clicking buttons, or navigating UIs that don't have a CLI or API.

TurixAI/TuriX-CUA · 53 tokens

browser-control

Control web pages in an existing Chromium remote-debugging session with deterministic sagui commands or the browser-only AI Agent. Use when Claude Code needs to inspect tabs, observe semantic elements, navigate, click, type, send keys, scroll, or complete a browser goal through CDP without controlling native macOS UI…

NakaokaRei/SwiftAutoGUI · 72 tokens

agent-smoke-test

Run manual development checks for SwiftAutoGUI AI Agent actions through the local sagui CLI. Use when Claude or Codex needs to test app-control or Accessibility BasicAction generation on macOS.

NakaokaRei/SwiftAutoGUI · 43 tokens

macos-control

Control macOS GUI applications via mouse automation, keyboard input, screenshots, image recognition, and AppleScript execution. Use when you need to interact with macOS app UIs, take screenshots, click buttons, type text, scroll, drag, or locate images on screen.

NakaokaRei/SwiftAutoGUI · 58 tokens

open-record-replay

Record a user-demonstrated macOS workflow with the Open Record/Replay CLI, inspect the captured event stream, prepare a skill evidence package, and hand it to the host agent's native skill creator. Use when the user asks the agent to watch them perform a task, record a workflow, or create/refine a reusable Computer…

humblebanana/open-record-replay · 77 tokens

artifact-storage-policy

管理 Codex 交付物的專案識別、Google Drive/GitHub 路由、檔名、儲存位置與回讀驗證;凡工作報告、外部保存、交付成果或新 repository 選擇涉及遠端儲存時使用。.

a275618631/codex-antigravity-collaboration · 68 tokens