RapidSpec: From Linear

RapidSpec: From Linear is a command for Claude Code from 9j/RapidSpec. It costs 13 tokens per session (1,434 once invoked), scanned A, original, MIT.

A command that turns a Linear issue, a task from a project-management tool, into a RapidSpec proposal for planning the work.

In plain words
What is it for?
Use it to fetch a Linear issue, identify its constraints and success conditions, and pass the work into the RapidSpec proposal process.
Why use it?
It gathers the issue's requirements, comments, related work, status, and acceptance criteria so the proposal is based on the complete request.

Command for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to fetch a Linear issue, identify its constraints and success conditions, and pass the work into the RapidSpec proposal process.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/9j/rapidspec/from-linear
View source ↗ 9j/RapidSpec
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.

Clone the repo
git clone --depth 1 https://github.com/9j/RapidSpec

Made for: Claude Code.

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 RapidSpec: From Linear

README.md
[![agentmods](https://agentmods.dev/badge/commands/9j/rapidspec/from-linear/github.svg)](https://agentmods.dev/commands/9j/rapidspec/from-linear)
Your own site
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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 RapidSpec: From Linear

Your own site · 80×15
<a href="https://agentmods.dev/commands/9j/rapidspec/from-linear"><img src="https://agentmods.dev/badge/commands/9j/rapidspec/from-linear.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 13 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,434 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00013 $0.01434
Opus 5.5 $0.00005 $0.00574
Sonnet 5.5 $0.00003 $0.00287
Haiku 4.5 $0.00001 $0.00143

Measured 1mo ago against content hash 2cda666f0eb9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

RapidSpec: From Linear 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 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.

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.

commands/from-linear.md · 236 lines

How it starts

The opening of the file, as written. The whole thing — 236 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Create Proposal from Linear Issue

<command_purpose> Convert Linear issues to RapidSpec proposals with automated research and verification. Fetch issue details, run parallel agents for research, present options, generate files. </command_purpose>

<issue_id> #$ARGUMENTS </issue_id>

<critical_requirement> MUST fetch full Linear issue details before proceeding. MUST analyze requirements and map to RapidSpec format. MUST delegate to /rapid:proposal for complete proposal workflow. NEVER duplicate proposal logic - use existing workflow. </critical_requirement>

Main Tasks

1. Fetch Linear Issue (ALWAYS FIRST)

Fetch process:

# Via Linear API
linear issue <issue-number>
  • Get title, description, comments
  • Get linked issues and PRs
  • Get current status, assignee, labels
  • Extract acceptance criteria from description

2. Analyze Requirements

Analysis process:

  • Parse user requirements from description
  • Identify acceptance criteria (bullet points, numbered lists)
  • Extract technical constraints from comments
  • Map to RapidSpec format (Why, What, Options)
  • Prepare feature description for proposal command

3. Delegate to Proposal Command

Delegation process:

  • Execute: rapid proposal <change-id>
  • Pass analyzed requirements as feature description
  • Let /rapid:proposal handle all research, verification, and file generation
  • Wait for proposal completion

4. Complete

Read the full file on GitHub · 236 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 · 236 lines · 0 tokens per session scan A 2cda666f0eb9

Subscribe to this mod's changes

RapidSpec: From Linear is a command published in the GitHub repository 9j/RapidSpec (5 stars, last pushed 11mo ago), licensed MIT. It adds 13 tokens to every session and 1,434 once invoked, about $0.0001 per session on Opus 5.5. 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.