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.
npx agentmods add skills/jackfranklin/dotfiles/onboard-plannpx skills add jackfranklin/dotfiles --skill onboard-plangit clone --depth 1 https://github.com/jackfranklin/dotfilesWrote 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.
[](https://agentmods.dev/skills/jackfranklin/dotfiles/onboard-plan)<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>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.
| Model | Per session | Once 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 |
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.
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,titleand 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.
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.
- 5d ago First seen · 63 lines · 45 tokens per session scan A 1635eb0f13ee
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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