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 skills add alinaqi/maggy --skill supabase-pythongit clone --depth 1 https://github.com/alinaqi/maggyWrote 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/skills/alinaqi/maggy/supabase-python)<a href="https://agentmods.dev/skills/alinaqi/maggy/supabase-python"><img src="https://agentmods.dev/badge/skills/alinaqi/maggy/supabase-python/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/skills/alinaqi/maggy/supabase-python"><img src="https://agentmods.dev/badge/skills/alinaqi/maggy/supabase-python.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 58 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 96 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 126 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 | $0.00015 | $0.03787 |
| Opus 5.5 | $0.00006 | $0.01515 |
| Sonnet 5.5 | $0.00003 | $0.00757 |
| Haiku 4.5 | $0.00002 | $0.00379 |
Grade A, and why
supabase-python 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 — 711 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Supabase + Python Skill
FastAPI patterns with Supabase Auth and SQLAlchemy/SQLModel for database access.
Sources: Supabase Python Client | SQLModel
Core Principle
SQLAlchemy/SQLModel for queries, Supabase for auth/storage.
Use SQLAlchemy or SQLModel for type-safe database access. Use supabase-py for auth, storage, and realtime. FastAPI for the API layer.
Project Structure
project/
├── src/
│ ├── api/
│ │ ├── __init__.py
│ │ ├── routes/
│ │ │ ├── __init__.py
│ │ │ ├── auth.py
│ │ │ ├── posts.py
│ │ │ └── users.py
│ │ └── deps.py # Dependencies (auth, db)
│ ├── core/
│ │ ├── __init__.py
│ │ ├── config.py # Settings
│ │ └── security.py # Auth helpers
│ ├── db/
│ │ ├── __init__.py
│ │ ├── session.py # Database session
│ │ └── models.py # SQLModel models
│ ├── services/
│ │ ├── __init__.py
│ │ └── supabase.py # Supabase client
│ └── main.py # FastAPI app
├── supabase/
│ ├── migrations/
│ └── config.toml
├── alembic/ # Alembic migrations (alternative)
├── alembic.ini
├── pyproject.toml
└── .env
Setup
Install Dependencies
pip install fastapi uvicorn supabase python-dotenv sqlmodel asyncpg alembic
pyproject.toml
[project]
name = "my-app"
version = "0.1.0"
dependencies = [
"fastapi>=0.109.0",
"uvicorn[standard]>=0.27.0",
"supabase>=2.0.0",
"python-dotenv>=1.0.0",
"sqlmodel>=0.0.14",
"asyncpg>=0.29.0",
"alembic>=1.13.0",
"pydantic-settings>=2.0.0",
]
[project.optional-dependencies]
dev = [
"pytest>=7.0.0",
"pytest-asyncio>=0.23.0",
"httpx>=0.26.0",
]
Environment Variables
# .env
SUPABASE_URL=http://localhost:54321
SUPABASE_ANON_KEY=<from supabase start>
SUPABASE_SERVICE_ROLE_KEY=<from supabase start>
DATABASE_URL=postgresql+asyncpg://postgres:postgres@localhost:54322/postgres
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 · 711 lines · 15 tokens per session scan A 3b6e81a83e07
supabase-python is a skill published in the GitHub repository alinaqi/maggy (711 stars, last pushed 8d ago), licensed MIT. It adds 15 tokens to every session and 3,787 once invoked, about $0.0001 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 2026-09-03.
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