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/ezraapple/skills-init/plan-changesnpx skills add EzraApple/skills-init --skill plan-changesgit clone --depth 1 https://github.com/EzraApple/skills-initWrote 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/ezraapple/skills-init/plan-changes)<a href="https://agentmods.dev/skills/ezraapple/skills-init/plan-changes"><img src="https://agentmods.dev/badge/skills/ezraapple/skills-init/plan-changes.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 | $0.00056 | $0.00860 |
| Opus 5 | $0.00028 | $0.00430 |
| Sonnet 5 | $0.00011 | $0.00172 |
| Haiku 4.5 | $0.00006 | $0.00086 |
Grade A, and why
plan-changes 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 3d 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Plan Changes
Produce the smallest decision-complete plan that reaches the requested outcome. A good plan resolves meaningful choices, preserves explicit constraints, and gives every implementation step its own proof.
Establish the Planning Boundary
Determine from the request and repository:
- observable outcome and user or system impact;
- current implementation and owning boundary;
- hard constraints, compatibility promises, and authority limits;
- existing code, primitives, or patterns worth reusing;
- non-goals and adjacent work;
- irreversible operations or rollout concerns.
Ask the user only about product, policy, or architecture choices that code and available evidence cannot answer. Do not ask them to locate files or explain facts you can inspect.
For an active failure whose cause is unknown, use systematic-debugging before
planning a fix.
Choose the Shape
Start with the direct version: what is the smallest coherent change that solves the stated problem?
For a non-trivial decision, compare only materially distinct approaches. Include the minimal approach and a more durable boundary when both are credible. Do not invent a third option to fill a template.
For each real option, state:
- what changes;
- what it reuses;
- the new coupling or concept it introduces;
- compatibility and rollout implications;
- the condition under which it is the better choice.
Recommend one and say what evidence would change the recommendation.
Write the Change Contract
Before the steps, summarize:
Outcome: <observable result>
Current boundary: <where behavior lives now>
Chosen approach: <one sentence>
Invariants: <behavior and contracts that must remain true>
Non-goals: <related work excluded>
Assumptions or decisions: <only material unresolved items>
Likely edit surfaces: <paths or components and why>
Use example inputs, outputs, schemas, or before/after code when a contract shape is otherwise ambiguous. Do not require code samples for mechanical 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.
- 3d ago First seen · 130 lines · 56 tokens per session scan A dd9d4fc0620f
plan-changes is a skill published in the GitHub repository EzraApple/skills-init (2 stars, last pushed 1mo ago), licensed MIT. It adds 56 tokens to every session and 860 once invoked, about $0.0003 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 2026-08-31.
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