doughnut: Skill for Claude Code

.agents/skills/dough-slice-plan-refinement/SKILL.md

dough-slice-plan-refinement is a skill for Claude Code, Codex from nerds-odd-e/doughnut. It costs 86 tokens per session (1,661 once invoked), scanned A, original, MIT.

A workflow that breaks an existing executable plan into smaller behavior and structure slices without changing the selected story's outcome. It updates the plan in place rather than creating a new one.

In plain words
What is it for?
Use it after slice planning when execution boundaries need refinement, or when execution has overrun and the plan must be made smaller and clearer.
Why use it?
It helps when planned slices are too complex, poorly sized, or exceed the project's limits. It keeps each piece tied to its own proof and leaves implementation to a separate workflow.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is nerds-odd-e/doughnut's own configuration. It tells Claude Code and Codex how to work on doughnut 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 doughnut configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/nerds-odd-e/doughnut/main/.agents/skills/dough-slice-plan-refinement/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/nerds-odd-e/doughnut

Made for: Claude Code, Codex.

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 dough-slice-plan-refinement

README.md
[![agentmods](https://agentmods.dev/badge/skills/nerds-odd-e/doughnut/dough-slice-plan-refinement/github.svg)](https://agentmods.dev/skills/nerds-odd-e/doughnut/dough-slice-plan-refinement)
Your own site
<a href="https://agentmods.dev/skills/nerds-odd-e/doughnut/dough-slice-plan-refinement"><img src="https://agentmods.dev/badge/skills/nerds-odd-e/doughnut/dough-slice-plan-refinement/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.

agentmods 80×15 button for dough-slice-plan-refinement

Your own site · 80×15
<a href="https://agentmods.dev/skills/nerds-odd-e/doughnut/dough-slice-plan-refinement"><img src="https://agentmods.dev/badge/skills/nerds-odd-e/doughnut/dough-slice-plan-refinement.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 86 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,661 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.
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 $0.00086 $0.01661
Opus 5.5 $0.00034 $0.00664
Sonnet 5.5 $0.00017 $0.00332
Haiku 4.5 $0.00009 $0.00166

Measured 9d ago against content hash 94519a7400b1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dough-slice-plan-refinement 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.

.agents/skills/dough-slice-plan-refinement/SKILL.md · 131 lines

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.

Slice-plan refinement

Refine an existing executable plan in place. Do not create another plan, implement product code, or change its selected story or bounded correction outcome.

Require a refinable plan

Require an existing executable plan and this project's context required by dough-slice-planning, especially any supplied target, hard limit, exceptions, overrun policy, and the plan lifecycle.

Identify whether the plan's source is a selected feature story or a bounded retrospective correction under planning scope and lifecycle. For a complete correction, use its correction input directly from its story and plan, or from a plan-homed correction's plan alone; create no seed. Name whichever required correction field is missing and stop. A complete plan permits refinement, not execution; preserve the invoking instruction's authorization boundary. Before revising boundaries, apply the shared reassessment decision.

  • If no plan exists, use dough-slice-planning.
  • If a plan is marked as awaiting story refinement after resplitting, use dough-story-refinement on its mapped story and realign the plan before treating it as refinable or executable.
  • If the selected story's goal, scope, or examples must change, use dough-story-refinement.
  • If a correction's beneficiary, bounded outcome, scope, or proof must change, stop through the shared execution-decision handoff; do not turn it into a feature story. A disputed product constraint uses the plan-conflict handoff below and remains human-owned.
  • If the parent problem, candidate selection, or sibling ordering must change, use dough-story-decomposition.
  • Treat the plan as ready for direct execution only when cumulative design is supported, every boundary preserves useful progress or learning, and all slices are cohesive, single-proof-loop, meet supplied targets, and have no unexplained path beyond a hard limit. Record that outcome through assess readiness at preparation completion when the work item has a recorded identity. Execution still requires separate authorization from the invoking workflow.

Read the full file on GitHub · 131 lines

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. 9d ago Changed · +5 lines 94519a7400b1
  2. 18d ago Changed · +4 lines 55850f54f767
  3. 1mo ago Changed · +2 tokens per session 4bb4f224e375
  4. 1mo ago Changed · +2 lines dfd662bd619d
  5. 1mo ago Changed · +12 lines · +11 tokens per session 1f0ab6cf5ad5
  6. 1mo ago Changed · +6 lines 9bc218217f2d
  7. 1mo ago Changed · +1 lines e83f2e939c99
  8. 1mo ago Changed · +7 lines 84e68fb5152b
  9. 1mo ago Changed · +21 lines · +12 tokens per session df4ae71ec262
  10. 1mo ago First seen · 73 lines · 61 tokens per session scan A 2b9dbd784aac

Subscribe to this mod's changes

dough-slice-plan-refinement is a skill published in the GitHub repository nerds-odd-e/doughnut (50 stars, last pushed today), licensed MIT. It adds 86 tokens to every session and 1,661 once invoked, about $0.0003 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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