implementing-plans

implementing-plans is a skill for Claude Code from bostonaholic/rpikit. It costs 36 tokens per session (2,641 once invoked), scanned A, original, MIT.

A process for carrying out an approved coding plan one step at a time, with checkpoints and verification. It first finds the plan and checks whether it is approved.

In plain words
What is it for?
Use it to execute planned code changes, track progress, run checks after each step, and confirm the finished work matches the plan.
Why use it?
It reduces the risk of implementing the wrong plan or moving forward after an unverified step.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: names the AskUserQuestion tool.

Part of the rpikit plugin — 16 skills, 7 agents shipped together

Good fit Use it to execute planned code changes, track progress, run checks after each step, and confirm the finished work matches the plan.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bostonaholic/rpikit/implementing-plans
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.

Any agent
npx skills add bostonaholic/rpikit --skill implementing-plans
Clone the repo
git clone --depth 1 https://github.com/bostonaholic/rpikit

Made for: Claude Code.

Or install rpikit, the plugin that ships this one along with the rest of its 16 skills, 7 agents.

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 implementing-plans

README.md
[![agentmods](https://agentmods.dev/badge/skills/bostonaholic/rpikit/implementing-plans/github.svg)](https://agentmods.dev/skills/bostonaholic/rpikit/implementing-plans)
Your own site
<a href="https://agentmods.dev/skills/bostonaholic/rpikit/implementing-plans"><img src="https://agentmods.dev/badge/skills/bostonaholic/rpikit/implementing-plans/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for implementing-plans

Your own site · 80×15
<a href="https://agentmods.dev/skills/bostonaholic/rpikit/implementing-plans"><img src="https://agentmods.dev/badge/skills/bostonaholic/rpikit/implementing-plans.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,641 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00036 $0.02641
Opus 5 $0.00018 $0.01321
Sonnet 5 $0.00007 $0.00528
Haiku 4.5 $0.00004 $0.00264

Measured 9d ago against content hash 6a987703980e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

implementing-plans 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 9d 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.

skills/implementing-plans/SKILL.md · 441 lines

How it starts

The opening of the file, as written. The whole thing — 441 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Implementation Phase

Execute the implementation plan for: $ARGUMENTS

Purpose

Implementation executes an approved plan with discipline and verification. The goal is not just working code, but verified, documented progress that matches the plan. Implementation follows the plan strictly, verifying each step before proceeding.

Process

1. Locate the Plan

If $ARGUMENTS is a file path (starts with / or docs/ or ends with .md):

  • Read the file at that path directly
  • Check if plan is marked approved
  • Proceed based on stakes level

Otherwise, search for plan by topic:

Look for plan at: docs/plans/YYYY-MM-DD-<topic>-plan.md

(Search for files matching *-<topic>-plan.md pattern using $ARGUMENTS as the topic)

If plan exists:

  • Read the plan document
  • Check if plan is marked approved
  • Proceed based on stakes level

If no plan exists:

  • Check stakes level of the requested work
  • Apply enforcement based on stakes

2. Apply Stakes-Based Enforcement

High Stakes (architectural, security-sensitive, hard to rollback):

Cannot proceed without an approved plan.

High-stakes implementations require:
1. Research phase (rpikit:researching-codebase skill)
2. Approved plan (rpikit:writing-plans skill)

Invoke the Skill tool with skill "rpikit:writing-plans" to create a plan first.

Stop and do not proceed.

Medium Stakes (multiple files, moderate impact):

Warning: No approved plan found for '$ARGUMENTS'.

Medium-stakes changes benefit from planning.

Use AskUserQuestion with options:

  • "Create a plan first" (recommended)
  • "Proceed with caution"
  • "Cancel"

Low Stakes (isolated, easy rollback):

Note: Consider rpikit:researching-codebase and rpikit:writing-plans skills for better results.
Proceeding with implementation...

Proceed with inline planning.

3. Offer Worktree Isolation

Before making changes, offer to create an isolated worktree.

First, check if already in a worktree:

Read the full file on GitHub · 441 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. 9d ago First seen · 441 lines · 36 tokens per session scan A 6a987703980e

Subscribe to this mod's changes

implementing-plans is a skill published in the GitHub repository bostonaholic/rpikit (20 stars, last pushed 2d ago), licensed MIT. It adds 36 tokens to every session and 2,641 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 2026-08-30.

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