implementation-plan

A set of rules for preparing a coding change before implementation. It requires identifying affected files, dependencies, risks, testing, and how to undo the change.

In plain words
What is it for?
Use it when planning a feature, defining a change, sequencing database migrations and deployments, or preparing a rollback and test plan.
Why use it?
It reduces rework and missed files by making the scope and safety checks explicit before code is written.

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/sordi-ai/skill-everything/implementation-plan
Clone the repo
git clone --depth 1 https://github.com/sordi-ai/skill-everything

Made for: Cursor.

Per session 21 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 472 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 $0.00021 $0.00472
Opus 5 $0.00010 $0.00236
Sonnet 5 $0.00004 $0.00094
Haiku 4.5 $0.00002 $0.00047

Measured 2d ago against content hash 36741a438dcc, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

implementation-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 2d 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/implementation-plan.mdc · 44 lines

How it starts

The opening of the file, as written. The whole thing — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Sub-Skill: Implementation Plan

Purpose: Ensure every non-trivial change is planned before execution, reducing rework, missed files, and undetected regressions.


Rules

Scope & Files

  1. List affected files first. Always list all files that will be modified before beginning implementation. Reference: ERR-2026-029
  2. Define scope boundaries. Before writing code, explicitly state what is in scope and what is out of scope to prevent scope creep.
  3. Map dependencies. Always identify which modules, services, or packages depend on the code being changed before touching it.

Ordering & Safety

  1. Order migrations before rollouts. Always sequence database migrations before application deployments in the plan; never assume they run together.
  2. Write the rollback story. Before starting, define the rollback procedure: which commands revert the change and restore the previous state.
  3. Identify stop-the-line criteria. Always define explicit conditions that would cause you to halt implementation and reassess (e.g., test failure rate, latency spike).

Testing & Quality

  1. Include a test plan. Always specify which tests will be added or modified and what scenarios they cover before writing implementation code.
  2. Assess risk per change. For each file in the touch list, note the risk level (low/medium/high) based on blast radius and test coverage.

Communication & Completion

  1. Estimate time per step. Always provide a rough time estimate for each implementation step so stakeholders can track progress.
  2. Define done explicitly. Always write a definition of done (DoD) that includes passing tests, updated docs, and any required approvals before starting.
  3. Communicate blockers immediately. After discovering a blocker during implementation, surface it immediately rather than working around it silently.
  4. Verify the plan against the codebase. Before executing, confirm each file in the touch list exists and the planned change is compatible with its current state.

Read the full file on GitHub · 44 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. 2d ago First seen · 44 lines · 21 tokens per session scan A 36741a438dcc

Subscribe to this mod's changes

implementation-plan is a cursor rule published in the GitHub repository sordi-ai/skill-everything (19 stars, last pushed 3mo ago), licensed MIT. It adds 21 tokens to every session and 472 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.