base: Skill for Claude Code

.ai/agents/base-contributor/skills/processes/plan/SKILL.md

plan is a skill for Claude Code from ai-swiss/base. It costs 35 tokens per session (529 once invoked), scanned A, original, Apache-2.0.

A code-planning guide that turns a software request into a detailed, step-by-step implementation plan.

In plain words
What is it for?
Use it to break a change into vertical slices, document design decisions, identify likely traps, and define exact verification commands.
Why use it?
It reduces guesswork by grounding the plan in the existing code and recording decisions, rules, and checks before consequential work begins.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

This is ai-swiss/base's own configuration. It tells Claude Code how to work on base itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything base configures →

Reuse

Borrowing it

Nothing to install: this file belongs to ai-swiss/base. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/ai-swiss/base/main/.ai/agents/base-contributor/skills/processes/plan/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/ai-swiss/base

Made for: Claude Code.

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 plan

README.md
[![agentmods](https://agentmods.dev/badge/skills/ai-swiss/base/plan/github.svg)](https://agentmods.dev/skills/ai-swiss/base/plan)
Your own site
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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 plan

Your own site · 80×15
<a href="https://agentmods.dev/skills/ai-swiss/base/plan"><img src="https://agentmods.dev/badge/skills/ai-swiss/base/plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 529 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 $0.00035 $0.00529
Opus 5.5 $0.00014 $0.00212
Sonnet 5.5 $0.00007 $0.00106
Haiku 4.5 $0.00003 $0.00053

Measured 2mo ago against content hash 532065ae6fe1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

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 2mo 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.

.ai/agents/base-contributor/skills/processes/plan/SKILL.md · 50 lines

What it actually says

Plan a change

A plan turns intent into something a junior or a context-free agent can follow without inventing. The doctrine lives in skills/competences/code-planning/SKILL.md; load it and apply it. The shape lives in templates/plan.md.

Steps

  1. Ground first. Run understand-state (or read specs/ and the matrix) so the plan rests on what exists, not on memory.
  2. Ask only design-changing questions. Three at most, each with concrete options; if visual, an ASCII mock-up per option. Record the answers in the plan's Origin section. If the user proposes something better, take it.
  3. Write the plan to .plans/YYYY-MM-DD_subject.md from templates/plan.md: origin, non-negotiable rules + exact verification commands, engineering doctrine (named principles anchored in this ticket), the slice table, detailed vertical slices, known traps, the self-review grid, the definition of done.
  4. Keep slices vertical, green, irreversible. Each one crosses all layers and ships observable behaviour; each ends with every gate green; each kills the code it replaces in the same slice.
  5. Hand off to implement, slice by slice.

What you never do

  • Write truth into the plan: the plan is disposable, the code and specs/ are the source.
  • Leave a fuzzy task (no end test means not ready) or plan speculative generality for two cases.
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. 2mo ago First seen · 50 lines · 35 tokens per session scan A 532065ae6fe1

Subscribe to this mod's changes

plan is a skill published in the GitHub repository ai-swiss/base (65 stars, last pushed 8d ago), licensed Apache-2.0. It adds 35 tokens to every session and 529 once invoked, about $0.0001 per session on Opus 5.5. 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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