linear-release-setup

linear-release-setup is a skill for Claude Code, Codex from linear/linear-release. It costs 49 tokens per session (2,352 once invoked), scanned A, original, MIT.

A setup workflow for connecting Linear Release—a Linear feature for tracking software releases—with a continuous integration and delivery pipeline. It generates configuration for systems such as GitHub Actions, GitLab CI, or CircleCI after checking the project’s setup.

In plain words
What is it for?
Setting up release tracking, mapping independent builds to Linear pipelines, and generating CI configuration for deployments.
Why use it?
It helps avoid mismatches between the builds a team ships and the release pipelines configured in Linear. It also checks important details such as the CI platform and the project’s actual default branch.

Skill for Claude CodeCodex ✓ vendor

Written for no agent in particular: nothing here depends on one.

not rated 68repo 3d ago A scan Socket: passSnyk: passSkillSpector: warn 49 tokens original MIT

Good fit Setting up release tracking, mapping independent builds to Linear pipelines, and generating CI configuration for deployments.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/linear/linear-release/linear-release-setup
About the project

Linear Release is a command-line tool that connects CI/CD deployments with Linear's release management. Development teams use it to associate issues with releases, track release stages, and handle continuous or scheduled release workflows, including filtered changes in monorepos. The catalogue skill supports this release-tracking workflow.

linear/linear-release · 68 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 linear/linear-release --skill linear-release-setup
Clone the repo
git clone --depth 1 https://github.com/linear/linear-release

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-release-setup

README.md
[![agentmods](https://agentmods.dev/badge/skills/linear/linear-release/linear-release-setup/github.svg)](https://agentmods.dev/skills/linear/linear-release/linear-release-setup)
Your own site
<a href="https://agentmods.dev/skills/linear/linear-release/linear-release-setup"><img src="https://agentmods.dev/badge/skills/linear/linear-release/linear-release-setup/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-release-setup

Your own site · 80×15
<a href="https://agentmods.dev/skills/linear/linear-release/linear-release-setup"><img src="https://agentmods.dev/badge/skills/linear/linear-release/linear-release-setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,352 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 15 Sept 2026
  • Snyk pass 15 Sept 2026
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 3 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Prompt Injection · line 69
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Excessive Agency · line 102
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Excessive Agency · line 110
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
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 $0.00049 $0.02352
Opus 5.5 $0.00020 $0.00941
Sonnet 5.5 $0.00010 $0.00470
Haiku 4.5 $0.00005 $0.00235

Measured 1mo ago against content hash 502f1fbadc39, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

linear-release-setup 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 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.

Makes network callslowCapability

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

- **glibc.** The prebuilt binary is dynamically linked against glibc and will not run on Alpine/musl images. Pick a Debian/Ubuntu base (`debian:bookworm-slim`, `ubuntu:24.04`, `buildpack-deps:bookworm`). Avoid `alpine`,
skills/linear-release-setup/SKILL.md · 127 lines

How it starts

The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Linear Release Setup

The linear-release README is the source of truth for commands, flags, installation, environment variables, path filtering, and troubleshooting. Fetch it before generating any config — this skill focuses on the interactive setup workflow and the pipeline modeling decisions the README cannot make for the user.

Interactive Workflow

Step 1: Preflight

Before generating config, confirm:

  1. Pipeline exists in Linear — the user must have created a release pipeline in Linear first (Settings → Releases). Each pipeline has its own access key.
  2. Detect CI platform — look for .github/workflows/*.yml (GitHub Actions), .gitlab-ci.yml (GitLab CI), .circleci/config.yml (CircleCI), or other CI config.
  3. Detect default branch — check git symbolic-ref refs/remotes/origin/HEAD or the CI config. Don't assume main.

Step 2: Map pipelines, then ask

Start by listing every build the user ships independently — each becomes its own Linear pipeline. Pipeline-vs-stage confusion is the single most common setup mistake, so whenever a split isn't obvious, apply the test in "Stages vs Pipelines" below.

Ask, in order:

  1. CI platform — if not auto-detected.

  2. What do you ship, and to whom? Prompt explicitly about common split candidates: production vs. beta or TestFlight, nightly or dogfood builds, staging, per-platform builds (iOS, Android, web), per-service in a monorepo. For each candidate, apply the test: can these hold different commits at the same time? Yes → separate pipelines. No (same immutable build moving through gates) → one pipeline with stages.

  3. For each pipeline: continuous or scheduled?

    • Continuous — every deploy completes a release. Typical for nightlies, dogfood, and web apps that ship on merge.
    • Scheduled — releases collect changes over time and move through stages before shipping. Typical for versioned mobile and on-prem.

Read the full file on GitHub · 127 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 · 127 lines · 49 tokens per session scan A 502f1fbadc39

Subscribe to this mod's changes

linear-release-setup is a skill published in the GitHub repository linear/linear-release (68 stars, last pushed 3d ago), licensed MIT. It adds 49 tokens to every session and 2,352 once invoked, about $0.0002 per session on Opus 5.5. 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.