doughnut AGENTS.md

Repository instructions for Doughnut, a personal knowledge-management tool that combines linked note-taking, review scheduling, and knowledge sharing. They explain where to find project maps, coding rules, and stack-specific guidance.

In plain words
What is it for?
Use them when contributing to Doughnut, especially before locating code, choosing commands, planning work, or editing a specific part of the application.
Why use it?
They help an AI coding agent navigate a large project and load the right rules before changing frontend, backend, testing, database, or other areas. They also describe the required project development environment.

Instructions file for CodexOpenCode

Install

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.

agentmods
npx agentmods add instructions/nerds-odd-e/doughnut/agents-md
Clone the repo
git clone --depth 1 https://github.com/nerds-odd-e/doughnut

Made for: Codex, OpenCode.

Per session 1,471 This file is loaded in full into every session.
When invoked 1,471 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.01471 $0.01471
Opus 5 $0.00736 $0.00736
Sonnet 5 $0.00294 $0.00294
Haiku 4.5 $0.00147 $0.00147

Measured 2d ago against content hash 5abd322a49d5, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

doughnut AGENTS.md 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.

AGENTS.md · 54 lines

How it starts

The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Index for Codex and other AI coding agents. Skill contracts: .agents/skills/; rules: .cursor/rules/.

Donut is a Personal Knowledge Management tool combining zettelkasten-style note capture, spaced repetition, and knowledge sharing.

Start with .cursor/agent-map.md for repo navigation, generated API guidance, focused commands, service assumptions, and default indexing notes.

Run repo tooling with CURSOR_DEV=true nix develop -c … unless documented otherwise (e.g. Cloud VM). Git commands do not need the Nix prefix — run git directly.

Repo conventions live in .cursor/rules/. Cursor injects alwaysApply: true rules automatically. Codex / Claude Code: read these always-applied rules before coding — general.mdc, error-handling.mdc, unit-testing.mdc, planning.mdc, gsd-coexistence.mdc, architecture-decisions.mdc — then the stack file for the area you touch: frontend → frontend.mdc; backend → backend.mdc; E2E → e2e-authoring.mdc; lint → linting_formating.mdc; migrations → db-migration.mdc; MCP → mcp-server.mdc; CLI → cli.mdc. Do not search for other names first. Cursor auto-attaches globbed detail files when matching files are in context.

For local MySQL or Redis failures, inspect mysql/mysql.log or redis/redis.log; the Nix shell setup is defined by process-compose.yaml and scripts/shell_setup.sh.

Planning lives under .planning/ (GSD + local). Canonical coexistence: .cursor/rules/gsd-coexistence.mdc. Slice quality: .cursor/rules/planning.mdc. Do not put new plans under ongoing/. Test-optimization candidates live in .planning/test-optimization-blacklist.md.

Principles

Portable digest (details live in the cited always-applied rules — keep AGENTS.md and CLAUDE.md in sync):

  1. High cohesion — one concept, one place (general.mdc)
  2. Keep it simple — minimum code; no defensive programming (general.mdc)
  3. Capability naming — no GSD phase numbers in product artifacts (general.mdc, planning.mdc)
  4. Test observables via high-level entry points (unit-testing.mdc)
  5. Never silently swallow failures — prevent → propagate → enrich → deliberate catch (error-handling.mdc)

Read the full file on GitHub · 54 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. 2d ago First seen · 54 lines · 1,471 tokens per session scan A 5abd322a49d5

Subscribe to this mod's changes

doughnut AGENTS.md is an instructions file published in the GitHub repository nerds-odd-e/doughnut (49 stars, last pushed 2d ago), licensed MIT. It adds 1,471 tokens to every session, about $0.0074 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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