implementation-plan

implementation-plan is a skill for Claude Code, Codex from fmind/dot. It costs 42 tokens per session (1,222 once invoked), scanned A, original, MIT.

A guide for turning accepted requirements into an ordered implementation plan. It breaks complex work into smaller slices that can be checked independently.

In plain words
What is it for?
Use it to inspect a repository, map affected systems, define boundaries, choose reusable code, and sequence implementation work.
Why use it?
It exposes dependencies, constraints, architecture choices, migration risks, and unresolved decisions before code is changed.

Skill for Claude CodeCodex

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 skills/fmind/dot/implementation-plan
Any agent
npx skills add fmind/dot --skill implementation-plan
Clone the repo
git clone --depth 1 https://github.com/fmind/dot

Made for: Claude Code, Codex.

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 implementation-plan

README.md
[![agentmods](https://agentmods.dev/badge/skills/fmind/dot/implementation-plan.svg)](https://agentmods.dev/skills/fmind/dot/implementation-plan)
Your own site
<a href="https://agentmods.dev/skills/fmind/dot/implementation-plan"><img src="https://agentmods.dev/badge/skills/fmind/dot/implementation-plan.svg" alt="Measured on agentmods" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,222 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 $0.00042 $0.01222
Opus 5 $0.00021 $0.00611
Sonnet 5 $0.00008 $0.00244
Haiku 4.5 $0.00004 $0.00122

Measured yesterday against content hash 10efbaad9ec2, 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 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.

skills/implementation-plan/SKILL.md · 52 lines

How it starts

The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Implementation Plan

Design the smallest sequence of independently verifiable vertical slices that satisfies accepted requirements; plan-review challenges the plan and plan-execution carries it out.

Workflow

  1. Read the contract: Re-read the accepted spec or request; extract requirements, non-goals, constraints, success criteria, authority limits, and unresolved decisions.
  2. Inspect reality: Read repository instructions, status, relevant source, tests, manifests, tasks, recent history, and existing patterns. Preserve staged, unstaged, and untracked user work.
  3. Verify unfamiliar APIs: Use technical-research before planning against a dependency whose local source you have not read.
  4. Map the change: Describe current flow, desired flow, affected components, interfaces, data, trust boundaries, and operational consumers; record code to reuse or delete and name the real architectural choices.
  5. Lock boundaries: Give each file or package one responsibility; record interface signatures, ownership, invariants, domain vocabulary, and compatibility behavior shared across tasks.
  6. Slice vertically: Order work by dependencies so each slice delivers coherent behavior through its test boundary; fold scaffolding, configuration, documentation, and telemetry into the slice that needs them.
  7. Design proof first: For each slice name the failing or characterization test, focused command, full project gate, runtime or manual evidence, and the expected failure or success signal.
  8. Plan safe change: Cover migration, backward compatibility, feature flags, observability, rollout, rollback, support, and cleanup only when applicable.
  9. Mark concurrency: Parallelize only independent tasks with disjoint ownership; name shared files, generated outputs, runtime leases, and merge order.
  10. Self-review: Map every requirement to a task and proof, remove placeholders and speculative flexibility, verify paths and symbols, and list anything that still needs a user decision.
  11. Write each task: In a full plan every task carries:
    • Outcome: one observable behavior or enabling invariant.
    • Dependencies: earlier tasks, external decisions, and shared resources.
    • Files: exact create, modify, and test paths with the responsibility of each change.
    • Interfaces: inputs, outputs, signatures, schemas, or commands neighboring tasks rely on.
    • Steps: test first, implementation second, focused verification third.
    • Proof: expected red signal, focused green command, full gate, and any runtime or manual check.
    • Safety: migration, compatibility, security, privacy, rollback, or authority notes.
    • Done: acceptance criteria checkable without subjective judgment.
  12. Scale the shape: Match the plan's weight to its risk and hand off explicitly.
    • For two or three low-risk linear slices, use a compact task table with outcome, exact files or interfaces, red-green proof, applicable safety, and objective done criteria, followed by a one-line dependency chain and an execution handoff.
    • Omit empty parallel-lane, migration, rollback, and critical-path prose; never omit a real risk or proof boundary.
    • Larger or cross-cutting plans use the full task contract and end with a dependency graph, critical path, parallel lanes, proof checklist, and execution handoff.

Read the full file on GitHub · 52 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 · 52 lines · 42 tokens per session scan A 10efbaad9ec2

Subscribe to this mod's changes

implementation-plan is a skill published in the GitHub repository fmind/dot (4 stars, last pushed today), licensed MIT. It adds 42 tokens to every session and 1,222 once invoked, about $0.0002 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 2026-09-03.