linear-awareness

linear-awareness is a skill for Claude Code from eveld/claude. It costs 24 tokens per session (972 once invoked), scanned A, original, MIT.

A guide for working with Linear, a tool for managing software-development issues and tickets. It helps choose the right workflow for simple requests and larger debugging investigations.

In plain words
What is it for?
Use it when fetching or changing Linear tickets, investigating a bug, or looking for recurring patterns across issues.
Why use it?
It reduces guesswork about how to find, update, or investigate Linear issues. It also separates one-issue tasks from analysis across many issues.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the workflows plugin — 29 skills, 5 commands, 17 agents shipped together

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

Made for: Claude Code.

Or install workflows, the plugin that ships this one along with the rest of its 29 skills, 5 commands, 17 agents.

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-awareness

README.md
[![agentmods](https://agentmods.dev/badge/skills/eveld/claude/linear-awareness.svg)](https://agentmods.dev/skills/eveld/claude/linear-awareness)
Your own site
<a href="https://agentmods.dev/skills/eveld/claude/linear-awareness"><img src="https://agentmods.dev/badge/skills/eveld/claude/linear-awareness.svg" alt="Measured on agentmods" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 972 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 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 5.1 $0.00024 $0.00972
Opus 5 $0.00012 $0.00486
Sonnet 5 $0.00005 $0.00194
Haiku 4.5 $0.00002 $0.00097

Measured 6d ago against content hash 90d9e3f6d852, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

linear-awareness scanned grade A with 0 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 6d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/linear-awareness/SKILL.md · 120 lines

How it starts

The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Linear Skills Guide

You have specialized Linear issue management skills. Use these for structured ticket workflows during debugging investigations.

Decision Tree

Skills vs Agents

Simple issue fetch or update? → Use Linear skills

  • linear-issues - Fetch, list, search issues (single linearis command)
  • linear-update - Update issue, add comments
  • Example: "Get details for ENG-1234"
  • Use when: Single issue, straightforward query/update

Complex investigation requiring analysis? → Use Task tool with Linear agents (conserves context)

  • linear-locator - Find issues by criteria, save to /tmp
  • linear-analyzer - Extract debugging context, parse technical details
  • linear-pattern-finder - Find patterns across issues, detect recurring problems
  • Use when: Multi-issue analysis, pattern detection, trend analysis

When to Use Which Agent

Just need to find issues broadly? → Use linear-locator agent only

  • Lists/searches issues by team, label, state, text
  • Saves filtered results to /tmp
  • Example: "Find all FileB-related issues across teams"

Investigating single issue for debugging? → Use linear-locator + linear-analyzer agents

  • Locator: Find issue and related issues
  • Analyzer: Extract error messages, URLs, technical details
  • Example: "Analyze ENG-1234 for debugging context"

Need to find patterns or recurring problems? → Use all three: linear-locator + linear-analyzer + linear-pattern-finder

  • Locator: Fetch issues by criteria
  • Analyzer: Parse each issue for technical details
  • Pattern-finder: Correlate across issues, find recurring themes, temporal trends
  • Example: "Find recurring VCS permission errors across last 2 months"

Adding debugging findings to a ticket? → Use linear-update skill

  • Better than: Running raw linearis comments create commands
  • Example: "Add root cause analysis to ENG-1234"

Updating issue status after investigation? → Use linear-update skill

  • Includes: status, priority, labels updates
  • Example: "Mark ENG-1234 as In Progress"

Read the full file on GitHub · 120 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. 6d ago First seen · 120 lines · 24 tokens per session scan A 90d9e3f6d852

Subscribe to this mod's changes

linear-awareness is a skill published in the GitHub repository eveld/claude (10 stars, last pushed 7mo ago), licensed MIT. It adds 24 tokens to every session and 972 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

code-indexing-pipeline

How Infigraph turns source into a graph — adding a language (tree-sitter vs ANTLR grammar-plugin), cross-file call resolution, SCIP compiler-grade enrichment, and file-watch/reindex triage. Use when adding language support, debugging unresolved calls or SCIP import, or triaging stale index/watcher issues.

intuit/infigraph · 70 tokens

analysis-subsystems

How Infigraph's multi-repo/group mode and taint analysis work internally — HTTP contract extraction heuristics, cross-service edge linking, combined-graph merge, remote mode, plus taint's line-based tracking and sanitizer heuristic. Use when working on crates/infigraph-core/src/multi/ or src/taint/, or investigating…

intuit/infigraph · 80 tokens

review-pr-against-issue

Review one or more PRs against the GitHub issue(s) they claim to fix, including fetching PR branches directly when gh can't reach github.com (e.g. gh is authenticated to an enterprise host instead). Use whenever asked "does this PR fix issue.

intuit/infigraph · 61 tokens

opencli-sitemap-author

Use when creating or maintaining OpenCLI site sitemaps: agent-facing navigation, page-state, action, workflow, API-reference, pitfall, and fallback knowledge for a website. Use after browser exploration discovers durable site context, when a sitemap is stale, or when promoting local site knowledge into the repo.

jackwener/OpenCLI · 67 tokens

specification-writing

Write the full patent specification from claims and invention disclosure. Use when user says "撰写说明书", "write specification", "写说明书", "patent description", or wants to draft the complete patent specification.

wanshuiyin/Auto-claude-code-research-in-sleep · 49 tokens

training-check

Interactively monitor training metrics from the current Codex session, periodically checking WandB or fallback logs for NaN, divergence, plateaus, and broken runs.

wanshuiyin/Auto-claude-code-research-in-sleep · 35 tokens