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/slice-plan-refinement/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/slice-plan-refinement)<a href="https://agentmods.dev/skills/nerds-odd-e/doughnut/slice-plan-refinement"><img src="https://agentmods.dev/badge/skills/nerds-odd-e/doughnut/slice-plan-refinement.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 5.1 | $0.00063 | $0.01122 |
| Opus 5 | $0.00032 | $0.00561 |
| Sonnet 5 | $0.00013 | $0.00224 |
| Haiku 4.5 | $0.00006 | $0.00112 |
Grade A, and why
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 today.
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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Apply .cursor/rules/problem-decomposition.mdc and
.cursor/rules/planning.mdc. Do not create another plan file or change the
selected story outcome.
<input_gate>
Require an existing PLAN under .planning/phases/ or .planning/quick/.
- No PLAN yet → use slice-planning.
- Story understanding must change → use story-refinement; use story-decomposition for parent-problem or candidate-ordering changes.
- Existing slices are already clear, cohesive, single-proof-loop, meet the target, and have no unexplained hard-limit path → execute directly; refinement is optional. </input_gate>
<refinement_triggers> Refine when any remaining slice:
- contains multiple independent post-conditions or proof loops;
- requires several separable implementation beats before any green result;
- hides preparation not tied to the immediate next Behavior;
- has low sizing confidence because the execution path or integration boundary is unclear;
- is likely to exceed the target or could plausibly exceed the hard limit, excluding a focused test whose runtime alone explains the duration;
- has already exceeded the target without converging; or
- has exceeded the hard limit without a stated exception. </refinement_triggers>
Classify each remaining slice:
| Result | Decision |
|---|---|
| Ready | One Behavior/Structure gate, one proof loop, cohesive change, meets the target |
| Refine | Same story, but the leaf violates its gate, has multiple beats, has low confidence, or could exceed the budget |
| Escalate | Learning escalation requires story review |
Route Escalate using the input gate above. Refine every Refine slice here.
For every replacement leaf:
- Keep one Behavior, or one Structure immediately before its Behavior.
- Keep one outside-in proof loop and a CI-safe commit boundary.
- Include implementation, focused verification, and slice-local cleanup in the sizing hypothesis.
- Preserve value/learning order and genuine prerequisites.
- Split again when the leaf still has separable beats or a plausible hard-limit path.
Do not split tests from the Behavior they prove, end a leaf on red, or create horizontal layer slices.
- Record elapsed time, completed evidence, failure/thrash point, and the sizing assumption that proved false.
- Confirm attempt-owned WIP was safely parked or reverted before editing the PLAN. Preserve developer changes; if ownership is unclear, stop for human judgment.
- Replace with smaller leaves only if Learning escalation allows.
- Refine later slices only when the same disproved assumption applies to them.
- Keep a stated exception when elapsed time came from one focused test or external wait that decomposition cannot reduce.
- Do not create a new file or directory.
- Preserve completed-slice history needed for resume.
- Replace obsolete planned detail rather than appending a second competing breakdown.
- Reconcile promise ownership and observations against the original leaves under planning.mdc's Proof decisions before declaring the revised PLAN ready.
- Record only learnings that changed the refinement.
- Do not implement, commit, or push unless the invoking workflow separately authorizes those actions.
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.
- today Changed · +3 lines · -5 tokens per session 754f2e2deefc
- yesterday First seen · 134 lines · 68 tokens per session scan A b22e79ac34c6
slice-plan-refinement is a skill published in the GitHub repository nerds-odd-e/doughnut (49 stars, last pushed today), licensed MIT. It adds 63 tokens to every session and 1,122 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 2026-09-05.
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