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 instructions/jiatastic/open-python-skills/agents-mdgit clone --depth 1 https://github.com/jiatastic/open-python-skillsWhat 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 | $0.00348 | $0.00348 |
| Opus 5 | $0.00174 | $0.00174 |
| Sonnet 5 | $0.00070 | $0.00070 |
| Haiku 4.5 | $0.00035 | $0.00035 |
Grade A, and why
open-python-skills 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.
What it actually says
PROJECT KNOWLEDGE BASE
OVERVIEW
A collection of AI-ready skill bundles for Python development.
STRUCTURE
open_python_skills/
├── python-backend/ # FastAPI, SQLAlchemy, Redis patterns
├── commit-message/ # Git commit message generation
├── excalidraw-ai/ # Diagram generation
├── ty-skills/ # Python type checking with ty
├── unit-testing/ # pytest patterns
├── docker-builder/ # Dockerfile generation
├── web-scraping/ # Scraping patterns
├── api-testing/ # API testing with schemathesis
├── linting/ # Ruff linting
├── formatting/ # Code formatting
├── observability/ # OpenTelemetry + Logfire
├── error-handling/ # Error handling patterns
├── marimo-notebook/ # Marimo notebooks
└── pydantic/ # Pydantic validation
WHERE TO LOOK
| Task | Location |
|---|---|
| Skill catalog | open_python_skills/*/SKILL.md |
| Reference docs | open_python_skills/*/references/*.md |
| Data files | open_python_skills/*/data/*.json |
| Scripts | open_python_skills/*/scripts/*.py |
CONVENTIONS
- Each skill has a
SKILL.mdwith front-matter metadata - Reference docs live in
references/subdirectory - JSON data lives in
data/subdirectory - Excalidraw libraries live in
assets/subdirectory
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.
- 2d ago First seen · 42 lines · 348 tokens per session scan A 3a7997037fb7
open-python-skills AGENTS.md is an instructions file published in the GitHub repository jiatastic/open-python-skills (9 stars, last pushed 7mo ago), licensed MIT. It adds 348 tokens to every session, about $0.0017 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 2026-08-31.
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