Borrowing it
Nothing to install: this file belongs to nerds-odd-e/doughnut. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/nerds-odd-e/doughnut/main/.agents/skills/dough-slice-planning/SKILL.mdgit clone --depth 1 https://github.com/nerds-odd-e/doughnutWrote 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/nerds-odd-e/doughnut/dough-slice-planning)<a href="https://agentmods.dev/skills/nerds-odd-e/doughnut/dough-slice-planning"><img src="https://agentmods.dev/badge/skills/nerds-odd-e/doughnut/dough-slice-planning/github.svg" alt="Measured on agentmods" height="20"></a>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.
<a href="https://agentmods.dev/skills/nerds-odd-e/doughnut/dough-slice-planning"><img src="https://agentmods.dev/badge/skills/nerds-odd-e/doughnut/dough-slice-planning.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00140 | $0.02504 |
| Opus 5.5 | $0.00056 | $0.01002 |
| Sonnet 5.5 | $0.00028 | $0.00501 |
| Haiku 4.5 | $0.00014 | $0.00250 |
Grade A, and why
dough-slice-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 9d 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 — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Slice planning
Write one sufficient executable plan for one understood story, a bounded retrospective correction, or remaining work from an understood instruction as described below. Stay within the triggering human or parent-agent instruction's explicit execution authority. Do not implement product code or invoke execution unless that instruction explicitly also requests execution after planning.
Require understood planning input
Require one user or stakeholder outcome, its value, evaluable key examples, and boundaries from later work. Name the missing field and stop; do not invent a story, seed, or completed plan slices. Use dough-story-refinement when a selected story's goal, scope, or examples are unresolved. Use dough-story-decomposition when the parent problem, candidate selection, or story ordering is unresolved. Never turn a decomposition seed directly into an execution plan. An understood instruction may be the source without a story. When its mission was admitted, plan that admitted story instead: the plan attaches to it, never to another story.
For a correction handed off by dough-execution-retrospective, use its evidenced current findings, one bounded correction outcome, affected concepts, preserved product promises and constraints, and evaluable proof as the planning input. Cite the original story and reviewed commits for provenance; do not invent a feature promise or require the correction to fit the old story's implementation footprint. The retrospective owns current-truth checks, constraint disputes, and whether to amend an unfinished plan or create a follow-up. Missing correction scope or proof stops this planning path.
For a new follow-up, write its minimal story and then its plan as planning scope and lifecycle defines; record preparation on that story. An amended plan or a plan-homed correction keeps its existing home and identity.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago Changed · +1 lines · -4 tokens per session f6c5e0532c68
- 11d ago Changed · +2 lines 00be72dc3401
- 18d ago Changed · -45 lines af00c2cb0c7f
- 19d ago Changed · +7 lines efe600907f1b
- 26d ago Changed · +4 lines 059aa56099df
- 29d ago Changed · +13 lines f8982dac7dee
- 1mo ago Changed · +9 lines 0ef8b8dc2250
- 1mo ago Changed · +26 lines · +7 tokens per session 2de0d361878c
- 1mo ago Changed · +18 lines 87a9d7778989
- 1mo ago First seen · 174 lines · 137 tokens per session scan A 5ad63a7ebf7b
dough-slice-planning is a skill published in the GitHub repository nerds-odd-e/doughnut (50 stars, last pushed today), licensed MIT. It adds 140 tokens to every session and 2,504 once invoked, about $0.0006 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 2026-09-10.
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