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-pfe/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-pfe)<a href="https://agentmods.dev/skills/nerds-odd-e/doughnut/dough-pfe"><img src="https://agentmods.dev/badge/skills/nerds-odd-e/doughnut/dough-pfe/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-pfe"><img src="https://agentmods.dev/badge/skills/nerds-odd-e/doughnut/dough-pfe.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 | $0.00054 | $0.00507 |
| Opus 5.5 | $0.00022 | $0.00203 |
| Sonnet 5.5 | $0.00011 | $0.00101 |
| Haiku 4.5 | $0.00005 | $0.00051 |
Grade A, and why
dough-pfe 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 1mo 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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Find and use a suitable existing solution
Given an implementation responsibility, find a domain-correct way to use what this product already knows before adding another representation of the same solution.
Establish the responsibility
Use the selected story or plan, current product behavior, and this project's domain language and applicable decisions to state the responsibility, its purpose, and genuine constraints. Resolve this project's navigation and product boundaries. If the responsibility or the domain meaning needed to assess it is missing, stop the affected work and ask the developer for that specific context.
Project decisions remain authoritative. This skill does not grant permission to override an architectural decision, expand the assignment, or alter unrelated behavior.
Search across the product
Search broadly enough to find conceptual solutions, not just matching names. Follow domain concepts, behavior, callers, tests, documentation, data flow, and ownership across the whole product. Include other components, services, tools, and process boundaries when the responsibility can meaningfully cross them.
Judge a candidate by its domain meaning: the responsibility it owns, the purpose it serves, its rules and invariants, and its lifecycle. Different structure or names do not rule out a fit; similar-looking code does not establish one. Stop searching once the evidence is sufficient to make or rule out a suitable choice.
Choose a domain-coherent outcome
Use the smallest justified outcome:
- reuse a suitable solution directly;
- change the existing solution when the responsibility belongs there;
- modularize it to expose a suitable part, including the necessary current structural work while preserving its original purpose and behavior; or
- make the gap explicit and add a new solution when no candidate has the same domain meaning.
Explain the candidate evidence and why the choice preserves one coherent representation of the responsibility. Do not force unrelated responsibilities together to remove superficial duplication, and do not add machinery for hypothetical future reuse.
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.
- 1mo ago First seen · 60 lines · 54 tokens per session scan A d71ec233c500
dough-pfe is a skill published in the GitHub repository nerds-odd-e/doughnut (50 stars, last pushed today), licensed MIT. It adds 54 tokens to every session and 507 once invoked, about $0.0002 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 2026-09-12.
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