Borrowing it
Nothing to install: this file belongs to regenrek/oplink-mcp. 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/regenrek/oplink-mcp/main/.cursor/commands/create-story.mdgit clone --depth 1 https://github.com/regenrek/oplink-mcpWrote 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/commands/regenrek/oplink-mcp/create-story)<a href="https://agentmods.dev/commands/regenrek/oplink-mcp/create-story"><img src="https://agentmods.dev/badge/commands/regenrek/oplink-mcp/create-story/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/commands/regenrek/oplink-mcp/create-story"><img src="https://agentmods.dev/badge/commands/regenrek/oplink-mcp/create-story.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 | $0.00008 | $0.00330 |
| Opus 5 | $0.00004 | $0.00165 |
| Sonnet 5 | $0.00002 | $0.00066 |
| Haiku 4.5 | $0.00001 | $0.00033 |
Grade A, and why
create-story 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 8d 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
Sstep
- create the
- use <send_to_linear>
User Story: {{ID}} - {{TITLE}}
Status: {{STATUS}}
(Valid values: TODO, IN PROGRESS, DONE)
Description:
As a {{USER_TYPE}}, I want {{FEATURE}} so that {{REASON}}.
Acceptance Criteria:
- {{CRITERION_1}}
- {{CRITERION_2}}
- ...
General Tasks:
- All requirements from the plan are implemented
- Code follows project style guidelines
- Tests are written and passing
- Documentation is updated
- Performance considerations addressed
- Security considerations addressed
- Code has been reviewed
Sub Tasks:
- {{SUB_TASK_1}} - Status: {{SUB_TASK_1_STATUS}}
Estimation: {{ESTIMATION}} story points
(Note: One step is 1 story point, which equals 1 day of work for a senior developer)
Developer Notes:
(Note: Add here important learnings, necessary fixes, all other devs need to know to proceed)
- {{NOTE_1}}
- {{NOTE_2}}
- ...
<send_to_linear> use linear mcp create task </sent_to_linear>
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.
- 8d ago First seen · 57 lines · 8 tokens per session scan A 40709a0dc340
create-story is a command published in the GitHub repository regenrek/oplink-mcp (10 stars, last pushed 9mo ago), licensed MIT. It adds 8 tokens to every session and 330 once invoked, about $0.0000 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.
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add-note
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workpm
A project-management workflow for coordinating multiple AI workers through five stages. It includes task assignment, shared activity logs, worker replacement, and final checks.