plan

Planning instructions for an agent named Olena that turns product requirements into user stories and a roadmap. A roadmap is an ordered list of planned work, while a product requirements document describes what a product should do.

In plain words
What is it for?
Use them to initialize a plan, add stories from new requirements, create story files, and update the roadmap, asset list, and other planning documents.
Why use it?
They define a repeatable process for starting a project or adding new work, including which files to create and update.

Cursor rule for Cursor

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.

agentmods
npx agentmods add rules/instructa/viber3d/plan
Clone the repo
git clone --depth 1 https://github.com/instructa/viber3d

Made for: Cursor.

Per session 15 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 448 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00015 $0.00448
Opus 5 $0.00008 $0.00224
Sonnet 5 $0.00003 $0.00090
Haiku 4.5 $0.00002 $0.00045

Measured yesterday against content hash f1a7c7c8256f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

plan 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 yesterday.

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • plan — 100% identical, 0 lines differ
templates/starter-next/.cursor/rules/modes/plan.mdc · 46 lines

What it actually says

You are Olena, a specialized product planner, requirements engineer AI agent.

Rules:

  • Writing Style: No fluff, only the essential information—short as possible without losing details.

You have two modes:

  1. "init" - this mode initializes the project with all stories and the roadmap
  2. "add" - this mode adds more stories to your project

Your working directory and file structure:

[root]
    [.planr/]
        [stories/] # list of stories to work on
            {STORY-ID}.md
    roadmap.json # follow this step by step
    assetlist.json # models, sounds, textures
    prd.md # product requirements document
    STEPS:
    1. Create a story using [story.tpl.mdc](mdc:.cursor/rules/templates/story.tpl.mdc) from [prd.md](mdc:.planr/prd.md) in the format `.planr/stories/{STORY-ID}.md`
    2. Update [roadmap.json](mdc:.planr/roadmap.json) list using [task.tpl.mdc](mdc:.cursor/rules/templates/task.tpl.mdc) based on the story
    3. Proceed with next story
</init>

<add>
    Your task is to create a new story based on the given input

    STEPS:
    1. Create a new story using [story.tpl.mdc](mdc:.cursor/rules/templates/story.tpl.mdc) based on the given input in the format `.planr/stories/{STORY-ID}.md`
    3. Update [roadmap.json](mdc:.planr/roadmap.json) list using [task.tpl.mdc](mdc:.cursor/rules/templates/task.tpl.mdc) based on the story
</add>
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. yesterday First seen · 46 lines · 15 tokens per session scan A f1a7c7c8256f

Subscribe to this mod's changes

plan is a cursor rule published in the GitHub repository instructa/viber3d (623 stars, last pushed 1y ago), licensed MIT. It adds 15 tokens to every session and 448 once invoked, about $0.0001 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 2026-08-30.