linear

linear is a skill for Codex from seaworld008/Commonly-used-high-value-skills. It costs 15 tokens per session (4,292 once invoked), scanned A, original, MIT.

A skill for managing Linear, a project-management tool for software teams, through its API. It works with issues, projects, teams, and collaboration data.

In plain words
What is it for?
Use it to work with Linear issues, projects, teams, and statuses through API requests.
Why use it?
It lets an agent read and update Linear work without manually navigating the application.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: built for hermes-agent.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python3 scripts/linear_api.py get-document 38359beef67c.

Good fit Use it to work with Linear issues, projects, teams, and statuses through API requests.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/seaworld008/Commonly-used-high-value-skills
agentmods
npx agentmods add skills/seaworld008/commonly-used-high-value-skills/linear

Made for: 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

README.md
[![agentmods](https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-skills/linear/github.svg)](https://agentmods.dev/skills/seaworld008/commonly-used-high-value-skills/linear)
Your own site
<a href="https://agentmods.dev/skills/seaworld008/commonly-used-high-value-skills/linear"><img src="https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-skills/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/seaworld008/commonly-used-high-value-skills/linear"><img src="https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-skills/linear.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,292 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
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 85 findings, up to high

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 →

  • high Supply Chain · line 35
    Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.
    Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
  • high Supply Chain · line 82
    Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.
    Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
  • high Supply Chain · line 90
    Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.
    Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
  • high Supply Chain · line 98
    Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.
    Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
  • high Supply Chain · line 106
    Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.
    Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
  • high Supply Chain · line 114
    Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.
    Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
  • high Supply Chain · line 122
    Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.
    Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
  • high Supply Chain · line 130
    Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.
    Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
  • high Supply Chain · line 138
    Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.
    Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
  • high Supply Chain · line 146
    Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.
    Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
  • high Supply Chain · line 154
    Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.
    Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
  • high Supply Chain · line 162
    Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.
    Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
  • high Supply Chain · line 170
    Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.
    Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
  • high Supply Chain · line 180
    Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.
    Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
  • high Supply Chain · line 199
    Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.
    Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
  • high Supply Chain · line 207
    Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.
    Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
  • high Supply Chain · line 215
    Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.
    Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
  • high Supply Chain · line 223
    Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.
    Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
  • high Supply Chain · line 231
    Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.
    Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
  • high Supply Chain · line 239
    Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.
    Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
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 $0.00015 $0.04292
Opus 5 $0.00008 $0.02146
Sonnet 5 $0.00003 $0.00858
Haiku 4.5 $0.00002 $0.00429

Measured 7d ago against content hash edf4821482e7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, 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 7d 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.

Manage Linear issues, projects, and teams directly via the GraphQL API using `curl`. No MCP server, no OAuth flow, no extra dependencies.
Origin

Copies of this mod

2 near-identical copies found in the catalogue:

  • linear — 92% identical, 27 lines differ
  • linear — 89% identical, 27 lines differ
openclaw-skills/linear/SKILL.md · 384 lines

How it starts

The opening of the file, as written. The whole thing — 384 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Linear — Issue & Project Management

Manage Linear issues, projects, and teams directly via the GraphQL API using curl. No MCP server, no OAuth flow, no extra dependencies.

Setup

  1. Get a personal API key from Linear Settings > Account > Security & access > Personal API keys (URL: https://linear.app/settings/account/security). Note: the org-level Settings > API page only shows OAuth apps and workspace-member keys, not personal keys.
  2. Set LINEAR_API_KEY in your environment (via hermes setup or your env config)

API Basics

  • Endpoint: https://api.linear.app/graphql (POST)
  • Auth header: Authorization: $LINEAR_API_KEY (no "Bearer" prefix for API keys)
  • All requests are POST with Content-Type: application/json
  • Both UUIDs and short identifiers (e.g., ENG-123) work for issue(id:)

Base curl pattern:

curl -s -X POST https://api.linear.app/graphql \
  -H "Authorization: $LINEAR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"query": "{ viewer { id name } }"}' | python3 -m json.tool

Python helper script (ergonomic alternative)

For faster one-liners that don't need hand-written GraphQL, this skill ships a stdlib Python CLI at scripts/linear_api.py. Zero dependencies. Same auth (reads LINEAR_API_KEY).

SCRIPT=$(dirname "$(find ~/.hermes -path '*skills/productivity/linear/scripts/linear_api.py' 2>/dev/null | head -1)")/linear_api.py

python3 "$SCRIPT" whoami
python3 "$SCRIPT" list-teams
python3 "$SCRIPT" get-issue ENG-42
python3 "$SCRIPT" get-document 38359beef67c      # fetch a doc by slugId from the URL
python3 "$SCRIPT" raw 'query { viewer { name } }'

All subcommands: whoami, list-teams, list-projects, list-states, list-issues, get-issue, search-issues, create-issue, update-issue, update-status, add-comment, list-documents, get-document, search-documents, raw. Run with --help for flags.

Use the script when: you want a quick answer without crafting GraphQL. Use curl when: you need a query the script doesn't wrap, or you want to compose filters inline.

Read the full file on GitHub · 384 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 7d ago First seen · 384 lines · 15 tokens per session scan A edf4821482e7

Subscribe to this mod's changes

linear is a skill published in the GitHub repository seaworld008/Commonly-used-high-value-skills (70 stars, last pushed 3d ago), licensed MIT. It adds 15 tokens to every session and 4,292 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 2026-09-03.