Borrowing it
Nothing to install: this file belongs to Traves-Theberge/Orchestra. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Traves-Theberge/Orchestra/main/.codex/skills/linear/SKILL.mdgit clone --depth 1 https://github.com/Traves-Theberge/OrchestraWrote 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.
[](https://agentmods.dev/skills/traves-theberge/orchestra/linear)<a href="https://agentmods.dev/skills/traves-theberge/orchestra/linear"><img src="https://agentmods.dev/badge/skills/traves-theberge/orchestra/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.
<a href="https://agentmods.dev/skills/traves-theberge/orchestra/linear"><img src="https://agentmods.dev/badge/skills/traves-theberge/orchestra/linear.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00023 | $0.00459 |
| Opus 5.5 | $0.00009 | $0.00184 |
| Sonnet 5.5 | $0.00005 | $0.00092 |
| Haiku 4.5 | $0.00002 | $0.00046 |
Grade A, and why
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 22d 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.
What it actually says
Linear Integration (Native)
Orchestra now uses a high-performance native tracker for Linear. Do not use raw GraphQL tools.
🛠️ Primary Tools
Use the following system tools to interact with Linear issues:
-
tracker_query:- Use Case: Search for issues, fetch specific issue details, or list issues in a specific state.
- Identifier: Always use the human-readable identifier (e.g.,
MT-123).
-
update_issue:- Use Case: Change the state, priority, or assignee of a Linear issue.
- Audit logging: Changes are automatically recorded in the "Activity" history.
🔄 Common Workflows
Querying an Issue
To get the full context of an issue, including its current state and history:
{
"tool": "tracker_query",
"arguments": {
"identifier": "PROJECT-123"
}
}
Changing Issue State
To move an issue along the workflow (e.g., to "In Progress" or "In Review"):
{
"tool": "update_issue",
"arguments": {
"identifier": "PROJECT-123",
"state": "In Progress"
}
}
Finding Project Workspaces
To find issues related to a specific project or state:
{
"tool": "tracker_query",
"arguments": {
"state": "Todo"
}
}
📜 Usage Rules
- Zero GraphQL: Do not attempt to use
linear_graphql. It has been removed. - State Names: Use standard Linear state names (e.g.,
Todo,In Progress,Done,Canceled). - Identifiers: Always prefer the ticket identifier (e.g.,
MT-1) over internal database IDs. - Activity: Remember that every
update_issuecall creates a transparent audit trail visible to the user in the Activity tab.
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.
- 22d ago First seen · 72 lines · 23 tokens per session scan A d5737149b0af
linear is a skill published in the GitHub repository Traves-Theberge/Orchestra (26 stars, last pushed 10d ago), licensed Apache-2.0. It adds 23 tokens to every session and 459 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 2026-10-02.
Other skills, from other repositories
agtx-oneshot
One-shot a whole project on an agtx board: decompose the goal, run every task unattended, unblock the workers, and merge each one. Use when the user wants a long autonomous run rather than a single session.
agtx-sweep
Sweep this conversation into agtx tasks and push them to the kanban board. Use when the user wants to capture, decompose, or hand off conversation results to the agtx board.
symphony-skill
Single Symphony operator router for Kanban tickets, service/TUI runs, WORKFLOW.md and prompt config, lane customization, delegation, production-ready app delivery planning, OneShot runs, repo and monorepo bootstrap, and worker failure triage.
kagan
Read a ticket, link threads, and move work through the native Kagan board when the user asks for ticket work.
superpm
Produce focused PM artifacts and verify them with a critic. Use for PRDs, strategy, OKRs, roadmaps, specs, research, analytics, GTM, growth, pricing, positioning, market signals, release notes, retros, and resume reviews.
Mochi-a-pm
Use this skill when the user or another AI needs project management, task tracking, priority assignment, timeline planning, or progress review. Mochi is a cute but deadly serious project manager AI.