plan

A planning framework for turning a value analysis into an implementation plan. It covers scope, risk, reuse of existing code and assets, and technical decisions.

In plain words
What is it for?
Use it to plan a feature or change, inspect reusable repository assets, validate reuse decisions, and record the technical steps needed for implementation.
Why use it?
It helps convert a broad assessment into concrete work while checking what already exists in the codebase. This reduces unnecessary new work and makes scope and risk explicit.

Cursor rule

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/wellapp-ai/well/plan
Clone the repo
git clone --depth 1 https://github.com/WellApp-ai/Well
Per session 8 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,116 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 $0.00008 $0.03116
Opus 5 $0.00004 $0.01558
Sonnet 5 $0.00002 $0.00623
Haiku 4.5 $0.00001 $0.00312

Measured yesterday against content hash fd01fa9cfd08, 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.

cursor-rules/modes/plan.mdc · 396 lines

How it starts

The opening of the file, as written. The whole thing — 396 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Plan Mode (Value Engineering)

Transform the QA Contract from Value Analysis into an actionable Commit Plan with technical decisions.

┌─────────────────────────────────────────────────────────────┐
│  PHASE 1: APPETITE                                          │
│  ┌─────────────┐   ┌─────────────┐                          │
│  │   Scope     │ → │    Risk     │                          │
│  │ Flexibility │   │  Tolerance  │                          │
│  └─────────────┘   └─────────────┘                          │
└─────────────────────────────────────────────────────────────┘
                          ↓
┌─────────────────────────────────────────────────────────────┐
│  PHASE 2: REUSE INVENTORY (CRITICAL)                        │
│  ┌─────────────┐   ┌─────────────┐   ┌─────────────┐        │
│  │   Search    │ → │  Document   │ → │  Validate   │        │
│  │  Codebase   │   │   Assets    │   │   Reuse     │        │
│  └─────────────┘   └─────────────┘   └─────────────┘        │
└─────────────────────────────────────────────────────────────┘
                          ↓
┌─────────────────────────────────────────────────────────────┐
│  PHASE 3: TECHNICAL DIVERGE                                 │
│  ┌─────────────┐   ┌─────────────┐   ┌─────────────┐        │
│  │   Invoke    │ → │   Score     │ → │  Gate 3?    │        │
│  │tech-diverge │   │  (0-8)      │   │ (if >= 4)   │        │
│  └─────────────┘   └─────────────┘   └─────────────┘        │
│                                      (KO → decision-capture)│
└─────────────────────────────────────────────────────────────┘
                          ↓
┌─────────────────────────────────────────────────────────────┐
│  PHASE 4: COMMIT PLAN                                       │
│  ┌─────────────┐   ┌─────────────┐   ┌─────────────┐        │
│  │   Define    │ → │    Map      │ → │  Estimate   │        │
│  │   Commits   │   │  Satisfies  │   │   LOC/Time  │        │
│  └─────────────┘   └─────────────┘   └─────────────┘        │
└─────────────────────────────────────────────────────────────┘
                          ↓
┌─────────────────────────────────────────────────────────────┐
│  PHASE 5: THRESHOLD PROJECTION                              │
│  ┌─────────────┐   ┌─────────────┐                          │
│  │   Predict   │ → │   Identify  │                          │
│  │  PR Trigger │   │   PR Scope  │                          │
│  └─────────────┘   └─────────────┘                          │
└─────────────────────────────────────────────────────────────┘
                          ↓
                     Agent Mode (Value Delivery)

Read the full file on GitHub · 396 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. yesterday First seen · 396 lines · 8 tokens per session scan A fd01fa9cfd08

Subscribe to this mod's changes

plan is a cursor rule published in the GitHub repository WellApp-ai/Well (341 stars, last pushed 25d ago), licensed MIT. It adds 8 tokens to every session and 3,116 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 2026-08-30.