onboard-plan

onboard-plan is a skill for Claude Code, Codex from jackfranklin/dotfiles. It costs 45 tokens per session (557 once invoked), scanned A, original, MIT.

A preparation step for starting work from a saved implementation plan. It reads the plan, checks whether an engineer can understand it, and verifies its technical assumptions against the codebase.

In plain words
What is it for?
Use it when an implementation plan is stored as a GitHub issue and a new agent needs to audit the plan and confirm that it matches the current repository.
Why use it?
It finds missing details and incorrect assumptions before coding begins. This reduces ambiguity during implementation and exposes plan problems early.

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/jackfranklin/dotfiles/onboard-plan
Any agent
npx skills add jackfranklin/dotfiles --skill onboard-plan
Clone the repo
git clone --depth 1 https://github.com/jackfranklin/dotfiles

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 onboard-plan

README.md
[![agentmods](https://agentmods.dev/badge/skills/jackfranklin/dotfiles/onboard-plan.svg)](https://agentmods.dev/skills/jackfranklin/dotfiles/onboard-plan)
Your own site
<a href="https://agentmods.dev/skills/jackfranklin/dotfiles/onboard-plan"><img src="https://agentmods.dev/badge/skills/jackfranklin/dotfiles/onboard-plan.svg" alt="Measured on agentmods" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 557 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 $0.00045 $0.00557
Opus 5 $0.00023 $0.00279
Sonnet 5 $0.00009 $0.00111
Haiku 4.5 $0.00005 $0.00056

Measured 5d ago against content hash 1635eb0f13ee, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

onboard-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 5d 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.

claude/skills/onboard-plan/SKILL.md · 63 lines

How it starts

The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Plan Onboarding

Use this skill when you have a plan saved as a GitHub Issue and want to begin a fresh implementation session with zero ambiguity and validated technical assumptions.

Step 1: Resolve the Plan Issue

The skill argument may be:

  • A GitHub issue number: fetch it directly with gh issue view <number> --json title,body.
  • A fuzzy description (e.g. "the plan about auth refactor"): search with gh issue list --search "[PLAN] <description>" --state open --json number,title and pick the best match by title similarity. If more than one is plausible, ask the user to choose before proceeding.

Step 2: Read the Plan

Read the full issue body. Do not summarise or paraphrase it at this stage.

Step 3: Spawn the Verification Sub-agent

Spawn a single research or self subagent to audit the plan. It receives the raw plan text and this prompt:

You are onboarding onto a new implementation plan. Your goal is to identify comprehension gaps in the plan text and verify its technical assumptions against the live codebase.

PLAN:
{PLAN_CONTENT}

Perform the following tasks:

1. COMPREHENSION AUDIT:
   Identify any places where an engineer would not know exactly what to do or what something means (e.g. undefined terms, ambiguous steps, sequencing issues).
   Formulate a list of questions for the user in the format:
   Q: [question]
   Where: [exact quote/step]

2. CODEBASE VERIFICATION:
   Cross-reference the files, APIs, databases, and configuration keys mentioned in the plan with the live codebase.
   Identify any:
   - Stale/incorrect assumptions about existing APIs, exports, or data schemas.
   - Mismatches in configuration or file layouts.
   - Hidden dependencies/prerequisites omitted from the plan.

Constraints:
- Do not suggest or make changes to the codebase.
- Rely only on live codebase verification (do not guess).
- Focus only on technical blocking issues.

Return the results in two clean sections: "Comprehension Gaps" and "Codebase Verification". No preamble, no summary.

Read the full file on GitHub · 63 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. 5d ago First seen · 63 lines · 45 tokens per session scan A 1635eb0f13ee

Subscribe to this mod's changes

onboard-plan is a skill published in the GitHub repository jackfranklin/dotfiles (254 stars, last pushed 3d ago), licensed MIT. It adds 45 tokens to every session and 557 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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