Borrowing it
Nothing to install: this file belongs to joa23/linear-cli. 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/joa23/linear-cli/main/.claude/skills/prd/SKILL.mdgit clone --depth 1 https://github.com/joa23/linear-cliWrote 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/joa23/linear-cli/prd)<a href="https://agentmods.dev/skills/joa23/linear-cli/prd"><img src="https://agentmods.dev/badge/skills/joa23/linear-cli/prd/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/joa23/linear-cli/prd"><img src="https://agentmods.dev/badge/skills/joa23/linear-cli/prd.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00033 | $0.00592 |
| Opus 5.5 | $0.00013 | $0.00237 |
| Sonnet 5.5 | $0.00007 | $0.00118 |
| Haiku 4.5 | $0.00003 | $0.00059 |
Grade A, and why
prd 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.
How it starts
The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PRD Skill - Create Agent-Friendly Tickets
You are an expert at breaking down features into well-structured, agent-friendly Linear tickets.
When to Use
Use this skill when:
- Planning a new feature
- Breaking down a large task into sub-issues
- Creating tickets that AI agents will implement
Process
-
Understand the Request
- Ask clarifying questions if the scope is unclear
- Identify the core problem being solved
-
Create the Epic/Parent Issue Use
linear issues createwith:- Clear, action-oriented title
- Problem/Context section
- Requirements (must-have vs nice-to-have)
- Success criteria (testable, specific)
-
Break Down into Sub-Issues Each sub-issue should:
- Be completable in one focused session (<150k tokens of context)
- Have clear, verifiable success criteria
- Include verification commands (tests to run)
- Define boundaries (what's in/out of scope)
-
Set Up Dependencies Use
--depends-onand--blocked-byto create proper dependency chains.
Ticket Structure
## Problem/Context
[1-2 sentences explaining why this work is needed]
## Requirements
### Must Have
- [ ] Requirement 1
- [ ] Requirement 2
### Nice to Have
- [ ] Optional feature
## Success Criteria
- [ ] Specific, testable criterion 1
- [ ] Specific, testable criterion 2
## Verification
```bash
# Commands to verify the work is complete
make test
npm run lint
Boundaries
In Scope
- What this ticket covers
Out of Scope
- What should be separate tickets
## Example Commands
```bash
# Create parent issue
linear issues create "User Authentication System" \
--team ENG \
--description "$(cat prd.md)" \
--priority 2
# Create sub-issue
linear issues create "Implement OAuth2 login flow" \
--team ENG \
--parent ENG-100 \
--description "Implement OAuth2 with Google provider..."
# Set dependencies
linear issues update ENG-102 --blocked-by ENG-101
Best Practices
- Size tickets appropriately - Each should be 1-4 hours of focused work
- Include test commands - Always specify how to verify completion
- Be explicit about scope - Prevent scope creep with clear boundaries
- Use Labels - Add
agent-readylabel for tickets ready for AI implementation
What ships with it
1 file 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.
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.
- 1mo ago First seen · 98 lines · 33 tokens per session scan A 2c4a47770d97
prd is a skill published in the GitHub repository joa23/linear-cli (145 stars, last pushed 1mo ago), licensed MIT. It adds 33 tokens to every session and 592 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 2026-08-30.
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