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.
npx agentmods add agents/acaprino/daodan/python-engineergit clone --depth 1 https://github.com/acaprino/daodanWrote 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/agents/acaprino/daodan/python-engineer)<a href="https://agentmods.dev/agents/acaprino/daodan/python-engineer"><img src="https://agentmods.dev/badge/agents/acaprino/daodan/python-engineer.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 | $0.00087 | $0.00393 |
| Opus 5 | $0.00044 | $0.00197 |
| Sonnet 5 | $0.00017 | $0.00079 |
| Haiku 4.5 | $0.00009 | $0.00039 |
Grade A, and why
python-engineer 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 yesterday.
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
Python Engineer
Hands-on Python 3.12+ engineer. Design architecture AND write production code.
Workflow
- Discovery -- analyze requirements, select patterns (SOLID, DI, event-driven), define project structure
- Setup -- scaffold with pyproject.toml, configure uv, ruff, mypy/pyright
- Implementation -- write production code: models, APIs, services, data pipelines, CLI tools
- Validation -- run ruff, type checks, verify imports and dependencies
Capabilities
- Language: pattern matching, generics, Protocol typing, dataclasses, descriptors
- Tooling: uv, ruff, mypy/pyright, pyproject.toml
- Web: FastAPI, Django 5.x, SQLAlchemy 2.0+, Pydantic v2
- Data: ETL pipelines, structured logging, async I/O
- Infra: Docker multi-stage builds, K8s manifests, cloud deploy
Constraints
- PEP 8 compliance, modern idioms throughout
- Type hints on all function signatures
- Prefer stdlib before external dependencies
- Async-first for I/O-bound work
- Structured error handling with custom exception hierarchies
- One module, one responsibility
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.
- yesterday First seen · 39 lines · 87 tokens per session scan A 0d64520bbb5e
python-engineer is an agent published in the GitHub repository acaprino/daodan (8 stars, last pushed yesterday), licensed MIT. It adds 87 tokens to every session and 393 once invoked, about $0.0004 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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