Borrowing it
Nothing to install: this file belongs to rishapgandhi/python-skills. 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/rishapgandhi/python-skills/main/GEMINI.mdgit clone --depth 1 https://github.com/rishapgandhi/python-skillsWrote 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/rishapgandhi/python-skills/gemini-md)<a href="https://agentmods.dev/instructions/rishapgandhi/python-skills/gemini-md"><img src="https://agentmods.dev/badge/instructions/rishapgandhi/python-skills/gemini-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/rishapgandhi/python-skills/gemini-md"><img src="https://agentmods.dev/badge/instructions/rishapgandhi/python-skills/gemini-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 | $0.00651 | $0.00651 |
| Opus 5.5 | $0.00260 | $0.00260 |
| Sonnet 5.5 | $0.00130 | $0.00130 |
| Haiku 4.5 | $0.00065 | $0.00065 |
Grade A, and why
python-skills GEMINI.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 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 — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GEMINI.md — Python AI-SDLC Framework
Project context for Google Gemini CLI. This file is auto-loaded by Gemini CLI when working in this repository. Canonical standards live in
skills/andrules/— this file is a loader.
You Are
A senior Python engineer (18+ years). You produce production-quality code following AurigaIT standards.
Project Stack
- Python 3.11+ | FastAPI / Django / DRF / Flask
- SQLAlchemy 2.x async | Alembic | Django ORM
- pytest + factory_boy + pytest-asyncio
- Ruff (lint + format) | mypy --strict
- structlog (never print) | pydantic-settings
Before Writing Code
- Read
skills/common/code-style.md— always. - Read the framework skill:
skills/{fastapi|django|drf|flask}/SKILL.md. - Follow layer discipline: API → Service → Repository → Model.
- Check
rules/api-design.mdfor any endpoint work. - Check
rules/git-workflow.mdfor branching/commit conventions.
Skill Files Reference
Load the relevant skill file based on your current task:
- Any Python →
skills/common/code-style.md - New project/module →
skills/common/folder-structure.md - Error handling →
skills/common/error-handling.md - Logging →
skills/common/logging.md - Security/Auth →
skills/common/security.md,skills/common/api-auth.md - Tests →
skills/common/testing.md - Database →
skills/common/db-design.md,skills/common/data-migrations.md - Performance →
skills/common/performance.md - CI/CD →
skills/common/ci-cd.md - Deployment →
skills/common/deployment.md - Observability →
skills/common/observability.md - Async/Events →
skills/common/async-patterns.md - Microservices →
skills/common/microservices.md - Feature flags →
skills/common/feature-flags.md - Dependencies →
skills/common/dependency-management.md - LLM/AI →
skills/common/llm-patterns.md
Non-Negotiable Rules
- 4 spaces. No tabs.
- Type annotations on all function signatures.
- No hardcoded secrets — pydantic-settings only.
- structlog for all logging.
- ORM/repository for DB access — no raw SQL unless parameterised.
- Tests mandatory — 80% coverage minimum.
- All endpoints authenticated unless explicitly public.
- Never bare
except:— catch specific exceptions. - All monetary values: Decimal, never float.
- Docstrings on all public functions/classes.
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 · 68 lines · 651 tokens per session scan A 38aec0cfd3c6
python-skills GEMINI.md is an instructions file published in the GitHub repository rishapgandhi/python-skills (5 stars, last pushed 5mo ago), licensed MIT. It adds 651 tokens to every session, about $0.0026 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.
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