plan

plan is a cursor rule for Cursor from inakianduaga/clockify-mcp. It costs 774 tokens per session, scanned A, original, MIT.

A planning rule that requires reading the project's documentation, task plans, and source code before creating a plan or architecture proposal.

In plain words
What is it for?
Preparing implementation plans, checking architecture and product requirements, reviewing technical constraints, and validating the solution afterward.
Why use it?
It reduces plans based on incomplete context and requires unclear requirements or architectural problems to be surfaced early.

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/inakianduaga/clockify-mcp/plan
Clone the repo
git clone --depth 1 https://github.com/inakianduaga/clockify-mcp

Made for: Cursor.

Wrote 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.

agentmods badge for plan

README.md
[![agentmods](https://agentmods.dev/badge/rules/inakianduaga/clockify-mcp/plan.svg)](https://agentmods.dev/rules/inakianduaga/clockify-mcp/plan)
Your own site
<a href="https://agentmods.dev/rules/inakianduaga/clockify-mcp/plan"><img src="https://agentmods.dev/badge/rules/inakianduaga/clockify-mcp/plan.svg" alt="Measured on agentmods" height="20"></a>
Per session 774 This file is loaded in full into every session.
When invoked 774 The same file — it is already loaded in full.
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 $0.00774 $0.00774
Opus 5 $0.00387 $0.00387
Sonnet 5 $0.00155 $0.00155
Haiku 4.5 $0.00077 $0.00077

Measured 3d ago against content hash beea2c3cc4f5, 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 3d 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.

.cursor/rules/plan.mdc · 75 lines

What it actually says


description: Always include these rules. globs: alwaysApply: true

Before every Plan/Architect task ALWAYS do 3 things: a. Read the existing documentation in docs/ : i. docs/architecture.md, ii. docs/product_requirement_docs.md, iii. docs/technical.md b. Read the plans and related task planning & context in tasks/: i. tasks/active_context.md, ii. tasks/tasks_plan.md c. Get required solution conytext from the code files in src and other codes at other places.

  • Below is the Planning Workflow to follow:
  1. UNDERSTAND the REQUIREMENTS:
  • Always ask for clarifications and follow-ups.
  • Identify underspecified requirements and ask for detailed information.
  • Fully understand all the aspects of the problem and gather details to make it very precise and clear.
  • Ask towards all the hypothesis and assumptions needed to be made. Remove all the ambiguities and uncertainties.
  • Suggest solutions that I didn't think about, i.e. anticipate my needs and things to be specified.
  • Only after having hundred percent clarity and confidence, proceed for SOLUTION.
  1. FORMULATING the SOLUTION:
  1. SOLUTION VALIDATION:

After every Plan/Architect task ALWAYS do 2 things: a. Document the plan into existing documentation and update files in docs/ : i. docs/architecture.md, ii. docs/product_requirement_docs.md, iii. docs/technical.md b. Document the plans and related task planning & context in tasks/: i. tasks/active_context.md, ii. tasks/tasks_plan.md

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. 3d ago First seen · 75 lines · 774 tokens per session scan A beea2c3cc4f5

Subscribe to this mod's changes

plan is a cursor rule published in the GitHub repository inakianduaga/clockify-mcp (14 stars, last pushed 1y ago), licensed MIT. It adds 774 tokens to every session, about $0.0039 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.