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/ai-swiss/base/code-planningnpx skills add ai-swiss/base --skill code-planninggit clone --depth 1 https://github.com/ai-swiss/baseWhat 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 | $0.00027 | $0.01944 |
| Opus 5 | $0.00014 | $0.00972 |
| Sonnet 5 | $0.00005 | $0.00389 |
| Haiku 4.5 | $0.00003 | $0.00194 |
Grade A, and why
code-planning 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 2d 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 — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Planning code: from a ticket of intent to an execution plan
This skill applies whenever a request ("redo the evaluation screen", "add a bootstrap")
becomes an execution plan that a developer, even a junior, even an AI agent with no context,
can follow without inventing. The bar: the plan is precise enough that two different
implementers would produce nearly the same code, and motivated enough that a demanding
reviewer recognises a doctrine in it, not a task list. It complements
../code-craft/SKILL.md, which covers the act of coding.
A plan lives in .plans/YYYY-MM-DD_subject.md of the repo it concerns. It is disposable
after merge: the code, the tests and the CHANGELOG must stand on their own, which is what rule 1
below enforces.
1. The eight sections of a complete plan, in this order
- Origin: 3 to 5 lines on which concrete feedback or problems triggered this work (cite the observed symptoms, not generalities). This is what lets you arbitrate later: "does this slice serve one of the origin problems?"
- Non-negotiable rules: the repo's invariants (zero dependency, the write gate, tests by role, max component size, no old/new code cohabitation…) AND the exact verification commands to run at the end of each slice.
- Engineering doctrine: see §3. This is what tells a plan apart from a to-do list.
- The slice table: number, content, estimated size, dependencies between slices.
- The detailed slices: see §4.
- Known traps: each mistake already made on this repo or foreseeable on this ticket, phrased as an instruction ("apply bottom-up, or the line numbers shift"), to read BEFORE coding the relevant slice.
- The self-review grid: 10 to 12 binary questions the implementer asks of THEIR own diff before showing it (function over 40 lines? derivable state stored? one rule known in two places? a silent cap?). One "yes" = fix it first.
- The definition of done: checkboxes, mechanically verifiable where possible.
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.
- 2d ago First seen · 131 lines · 27 tokens per session scan A dc54d7513f68
code-planning is a skill published in the GitHub repository ai-swiss/base (42 stars, last pushed 19d ago), licensed Apache-2.0. It adds 27 tokens to every session and 1,944 once invoked, about $0.0001 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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