Borrowing it
Nothing to install: this file belongs to draincoder/pyproject. 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/draincoder/pyproject/master/AGENTS.mdgit clone --depth 1 https://github.com/draincoder/pyprojectWrote 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/instructions/draincoder/pyproject/agents-md)<a href="https://agentmods.dev/instructions/draincoder/pyproject/agents-md"><img src="https://agentmods.dev/badge/instructions/draincoder/pyproject/agents-md/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/instructions/draincoder/pyproject/agents-md"><img src="https://agentmods.dev/badge/instructions/draincoder/pyproject/agents-md.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 | $0.00369 | $0.00369 |
| Opus 5.5 | $0.00148 | $0.00148 |
| Sonnet 5.5 | $0.00074 | $0.00074 |
| Haiku 4.5 | $0.00037 | $0.00037 |
Grade A, and why
pyproject 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 2mo 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.
What it actually says
Project Structure
config/
docker/
src/
domain/
application/
infrastructure/
presentation/
tests/
unit/
integration/
e2e/
Rules:
- Dependencies flow inward: presentation → application → domain
domaincontains only business logic, no external dependenciesinfrastructureimplements interfaces defined inapplication
Architecture Principles (if applicable)
- Follow Clean Architecture by default
- Depend on abstractions, not concrete implementations
- Extend behavior via composition, not modification
- Keep modules small with a single responsibility
Tooling & Standards (Mandatory)
- Python 3.14
- Task runner:
just - Formatting & linting: Ruff
- Type checking: mypy
- Testing: pytest with coverage
- All code must be fully type annotated
Common commands:
just install
just lint
just test
just run
just up
just down
Testing Rules (Mandatory)
- Tests mirror
src/structure - Use
unit/,integration/,e2e/ - Use Arrange / Act / Assert with explicit comments
- Do not add comments in tests except parametrization case descriptions
- Name tests by behavior and expected outcome
- Prefer unit tests; add integration tests when behavior spans layers
- Keep tests deterministic, fast, and isolated from network/IO
Commit & Pull Request Rules
- Use Conventional Commits (e.g.
feat: add auth middleware) - PRs must include a concise description and motivation
Local Configuration
Before running locally:
cp config/template.config.yaml config/config.yaml
cp config/template.env config/.env
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.
- 2mo ago First seen · 80 lines · 369 tokens per session scan A 34dd2a0d2b44
pyproject AGENTS.md is an instructions file published in the GitHub repository draincoder/pyproject (4 stars, last pushed 3mo ago), licensed MIT. It adds 369 tokens to every session, about $0.0015 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 2026-08-31.
pyproject AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| pyproject AGENTS.mddraincoder/pyproject | Instructions file | 4 | 3mo ago | MIT | A | 369 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |