linear

A guide for sending direct GraphQL queries and changes to Linear, a tool for tracking software projects and issues, through an existing session connection.

In plain words
What is it for?
Use it to query Linear data, edit comments, upload files, discover unfamiliar GraphQL operations, and run other supported raw GraphQL requests.
Why use it?
It helps handle Linear operations that may not be covered by simpler issue tools, while keeping requests narrow and checking for GraphQL errors.

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/openai/symphony/linear
Any agent
npx skills add openai/symphony --skill linear
Clone the repo
git clone --depth 1 https://github.com/openai/symphony

Made for: Claude Code, Codex.

Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,730 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00027 $0.01730
Opus 5 $0.00014 $0.00865
Sonnet 5 $0.00005 $0.00346
Haiku 4.5 $0.00003 $0.00173

Measured 2d ago against content hash dae7888e1a1c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

linear scanned grade A 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 2d 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.

Makes network callslowCapability

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

2. Upload the local file bytes to `uploadUrl` with `curl -X PUT` and the exact
Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • linear — 100% identical, 0 lines differ
.codex/skills/linear/SKILL.md · 389 lines

How it starts

The opening of the file, as written. The whole thing — 389 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Linear GraphQL

Use this skill for raw Linear GraphQL work during Symphony app-server sessions.

Primary tool

Use the linear_graphql client tool exposed by Symphony's app-server session. It reuses Symphony's configured Linear auth for the session.

Tool input:

{
  "query": "query or mutation document",
  "variables": {
    "optional": "graphql variables object"
  }
}

Tool behavior:

  • Send one GraphQL operation per tool call.
  • Treat a top-level errors array as a failed GraphQL operation even if the tool call itself completed.
  • Keep queries/mutations narrowly scoped; ask only for the fields you need.

Discovering unfamiliar operations

When you need an unfamiliar mutation, input type, or object field, use targeted introspection through linear_graphql.

List mutation names:

query ListMutations {
  __type(name: "Mutation") {
    fields {
      name
    }
  }
}

Inspect a specific input object:

query CommentCreateInputShape {
  __type(name: "CommentCreateInput") {
    inputFields {
      name
      type {
        kind
        name
        ofType {
          kind
          name
        }
      }
    }
  }
}

Common workflows

Query an issue by key, identifier, or id

Use these progressively:

  • Start with issue(id: $key) when you have a ticket key such as MT-686.
  • Fall back to issues(filter: ...) when you need identifier search semantics.
  • Once you have the internal issue id, prefer issue(id: $id) for narrower reads.

Lookup by issue key:

query IssueByKey($key: String!) {
  issue(id: $key) {
    id
    identifier
    title
    state {
      id
      name
      type
    }
    project {
      id
      name
    }
    branchName
    url
    description
    updatedAt
    links {
      nodes {
        id
        url
        title
      }
    }
  }
}

Lookup by identifier filter:

query IssueByIdentifier($identifier: String!) {
  issues(filter: { identifier: { eq: $identifier } }, first: 1) {
    nodes {
      id
      identifier
      title
      state {
        id
        name
        type
      }
      project {
        id
        name
      }
      branchName
      url
      description
      updatedAt
    }
  }
}

Read the full file on GitHub · 389 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. 2d ago First seen · 389 lines · 27 tokens per session scan A dae7888e1a1c

Subscribe to this mod's changes

linear is a skill published in the GitHub repository openai/symphony (26,941 stars, last pushed 13d ago), licensed Apache-2.0. It adds 27 tokens to every session and 1,730 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

babysit-pr

Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…

openai/codex · 114 tokens

imagegen

Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…

openai/codex · 113 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens