linear

linear is a skill for Claude Code from Open-Curiosity/gini-agent. It costs 38 tokens per session (1,911 once invoked), scanned C, original, MIT.

A connection between the coding agent and Linear, a tool for tracking software issues and project work. It can work with issues, comments, projects, cycles, documents, teams, and related records.

In plain words
What is it for?
Use it to read or update issues, add comments, manage projects and cycles, work with documents and milestones, and attach screenshots to issues.
Why use it?
It removes the need to switch tools or manually copy project information between the agent and Linear.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to read or update issues, add comments, manage projects and cycles, work with documents and milestones, and attach screenshots to issues.

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Install with agentmods
npx agentmods add skills/open-curiosity/gini-agent/linear
About the project

Gini Agent is a personal AI-agent runtime that manages conversations, runs, tasks, approvals, memory, skills, jobs, tools, traces, audit events, and runtime health across its clients. It is for an agent that can remember, learn from task outcomes, and operate through desktop or mobile interfaces with user controls. Catalogue add-ons extend the runtime with skills and instructions.

Open-Curiosity/gini-agent · 2,103 stars · on GitHub

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 Open-Curiosity/gini-agent --skill linear
Clone the repo
git clone --depth 1 https://github.com/Open-Curiosity/gini-agent

Made for: Claude Code.

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/open-curiosity/gini-agent/linear/github.svg)](https://agentmods.dev/skills/open-curiosity/gini-agent/linear)
Your own site
<a href="https://agentmods.dev/skills/open-curiosity/gini-agent/linear"><img src="https://agentmods.dev/badge/skills/open-curiosity/gini-agent/linear/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 linear

Your own site · 80×15
<a href="https://agentmods.dev/skills/open-curiosity/gini-agent/linear"><img src="https://agentmods.dev/badge/skills/open-curiosity/gini-agent/linear.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,911 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. 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 $0.00038 $0.01911
Opus 5.5 $0.00015 $0.00764
Sonnet 5.5 $0.00008 $0.00382
Haiku 4.5 $0.00004 $0.00191

Measured 1mo ago against content hash a643ab7a47ae, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

linear scanned grade C with 1 finding 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 1mo 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.

Tells the agent never to refusehighAnti-refusal

Suppressing the ability to decline removes a core safety control; a later harmful request then succeeds.

**Do not refuse a Linear-related ask** unless you've actually checked. "Linear doesn't support that" is a claim that requires evidence.
skills/integrations/linear/SKILL.md · 124 lines

How it starts

The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Linear

Linear is reachable through the mcp_call tool. Each call hits the hosted Linear MCP server; the runtime resolves the Authorization header from the connected Linear token. You never see the token or the endpoint — you pass server: "linear" and a tool name.

Every Linear call has the same shape:

mcp_call({
  server: "linear",
  tool: "<tool name>",
  arguments: { ... }
})

The response is a JSON string. Parse it before reporting back to the user — Linear sometimes returns nested pageInfo or arrays you should summarize, not dump.

Discovering what's available

The full inventory of Linear MCP tools is in your system prompt under "Configured MCP servers — linear — tools: ...". That list is authoritative; do not assume a tool doesn't exist just because it isn't called out below. The categories below give you defaults and taste; reach for tools from the inventory list whenever the user asks for something outside them.

When you're unsure of a tool's argument shape, either:

  • Call mcp_call({ server: "linear", tool: "search_documentation", arguments: { query: "..." } }) to query Linear's own docs, or
  • Just try the call — the server returns a clear validation error on bad args, which is recoverable.

Do not refuse a Linear-related ask unless you've actually checked. "Linear doesn't support that" is a claim that requires evidence.

Defaults and common shapes

Issues — list / read / save

save_issue handles both create and update — with an id it updates, without one it creates.

mcp_call({ server: "linear", tool: "list_issues",
           arguments: { assignee: "me", state: "started" } })
mcp_call({ server: "linear", tool: "get_issue",
           arguments: { id: "LIN-123" } })
mcp_call({ server: "linear", tool: "save_issue",
           arguments: { team: "ENG", title: "Login fails on Safari 17",
                        description: "Steps to reproduce…" } })

Useful argument quirks Linear's tool descriptions sometimes leave terse:

  • assignee: "me" resolves to the authenticated viewer — no user-id lookup needed.
  • team accepts the team key (ENG) or UUID.
  • state accepts either the workflow state id or its display name ("In Progress", "Done"). Workflow state groups for filtering: backlog, unstarted, started, completed, cancelled.
  • priority is 0|1|2|3|4 where 1 is urgent, 4 is low, 0 is no priority.
  • list_issues truncates description for compactness. Follow up with get_issue when the user needs the full body.
  • Paginate by passing the cursor from pageInfo.endCursor back into the same call.

Read the full file on GitHub · 124 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. 1mo ago First seen · 124 lines · 38 tokens per session scan C a643ab7a47ae

Subscribe to this mod's changes

linear is a skill published in the GitHub repository Open-Curiosity/gini-agent (2,103 stars, last pushed 3mo ago), licensed MIT. It adds 38 tokens to every session and 1,911 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it C with 1 finding (tells the agent never to refuse). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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