linear

A connection to Linear, a service teams use to track issues, projects, and planned work. It lets the agent work with the user's Linear data through their connected account.

In plain words
What is it for?
Use it to find or read issues, check progress, create bugs, add comments, and update issues or projects.
Why use it?
It avoids switching to Linear for routine work-tracking tasks and keeps actions tied to the user's own account.

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

Made for: Claude Code, Codex.

Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 901 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 $0.00024 $0.00901
Opus 5 $0.00012 $0.00451
Sonnet 5 $0.00005 $0.00180
Haiku 4.5 $0.00002 $0.00090

Measured yesterday against content hash 8a8d3519b39e, 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 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.

Makes network callslowCapability

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

curl -sS -X POST 'https://api.linear.app/graphql' \
skills-seed/linear/SKILL.md · 85 lines

How it starts

The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Linear

Use this skill when the user asks about Linear issues, tickets, projects, cycles, or their team's work tracking — finding issues, checking status, filing a bug, leaving a comment, or updating an issue.

This is an OAuth connector. The resolved user's Linear token already lives on your computer as an environment variable (the way a logged-in CLI's cached credential would):

  • $VAULT_TOKEN_API_LINEAR_APP — for api.linear.app

Linear's API is GraphQL at https://api.linear.app/graphql. Pass the token as a bearer header (-H "Authorization: Bearer $VAULT_TOKEN_API_LINEAR_APP"). Do not ask the user for a token, log it, or use another principal's credential.

If the variable is empty or the API returns 401/400 (authentication), tell the user they need to connect Linear (Connectors page) and stop — don't guess at issue data.

Find / read issues

Query issues by text, assignee, or state:

curl -sS -X POST 'https://api.linear.app/graphql' \
  -H "Authorization: Bearer $VAULT_TOKEN_API_LINEAR_APP" \
  -H 'content-type: application/json' \
  --data '{"query":"{ issues(first: 20, filter: { title: { containsIgnoreCase: \"login\" } }) { nodes { identifier title state { name } assignee { name } url } } }"}'

Read one issue by id/identifier:

curl -sS -X POST 'https://api.linear.app/graphql' \
  -H "Authorization: Bearer $VAULT_TOKEN_API_LINEAR_APP" \
  -H 'content-type: application/json' \
  --data '{"query":"{ issue(id: \"ENG-123\") { identifier title description state { name } assignee { name } url comments { nodes { body user { name } } } } }"}'

Keep issue identifiers and urls in your answer so claims can be traced.

To create or assign an issue you usually need a team id — list them once:

curl -sS -X POST 'https://api.linear.app/graphql' \
  -H "Authorization: Bearer $VAULT_TOKEN_API_LINEAR_APP" \
  -H 'content-type: application/json' \
  --data '{"query":"{ teams(first: 100) { nodes { id key name } pageInfo { hasNextPage endCursor } } }"}'

Read the full file on GitHub · 85 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. yesterday First seen · 85 lines · 24 tokens per session scan A 8a8d3519b39e

Subscribe to this mod's changes

linear is a skill published in the GitHub repository yc-software/qm (14,360 stars, last pushed 3d ago), licensed MIT. It adds 24 tokens to every session and 901 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

open-code-review

Performs AI-powered code review on Git changes using the ocr CLI from alibaba/open-code-review. Use when the user asks to review code, review a pull request, review staged/unstaged changes, review a commit, or compare branches for code quality issues. Produces line-level review comments and can automatically apply…

alibaba/open-code-review · 98 tokens

adding-a-provider-api-feature

Add a new provider API capability (prompt caching, strict/structured tool calling, thinking/reasoning effort, service tier, safety settings, logprobs, etc.) to Pydantic AI. Use when wiring a provider feature through the library — it enforces reasoning from the existing cross-provider abstraction before designing…

pydantic/pydantic-ai · 97 tokens

agent-initialization

Initialize an Agent's settings from a user requirement by writing AGENTS.md, setting identity metadata, and installing only needed Skills.

Prism-Shadow/penguin-harness · 30 tokens

portfolio

Cross-chain DeFi portfolio discovery, rebalancing suggestions, and NEAR Intent construction. Activates when the user pastes a wallet address or asks about yield/positions/rebalancing. Bootstraps a per-user "portfolio" project, aggregates positions across all the user's addresses inside one project, and offers a…

suyoumo/ClawProBench · 69 tokens

openclaw-ci-limits

Manage OpenClaw GitHub Actions and Blacksmith CI capacity, runner-registration budgets, fanout caps, main-push single-flight, shard sizing, hosted-runner offload, queue health, and safe ramp-down/ramp-up changes. Use when tuning .github/workflows/, docs/ci.md, CI runner labels, matrix max-parallel…

openclaw/openclaw · 105 tokens

release-openclaw-plugin-testing

Plan and run pre-release OpenClaw plugin validation across bundled plugins, package artifacts, lifecycle commands, doctor/fix, config round-trip, gateway startup, SDK compatibility, Docker E2E, Package Acceptance, and Testbox proof.

openclaw/openclaw · 54 tokens