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 jaansokk/cursor_tools --skill python-devgit clone --depth 1 https://github.com/jaansokk/cursor_toolsWrote 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/jaansokk/cursor_tools/python-dev)<a href="https://agentmods.dev/skills/jaansokk/cursor_tools/python-dev"><img src="https://agentmods.dev/badge/skills/jaansokk/cursor_tools/python-dev/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/jaansokk/cursor_tools/python-dev"><img src="https://agentmods.dev/badge/skills/jaansokk/cursor_tools/python-dev.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 | $0.00031 | $0.00677 |
| Opus 5.5 | $0.00012 | $0.00271 |
| Sonnet 5.5 | $0.00006 | $0.00135 |
| Haiku 4.5 | $0.00003 | $0.00068 |
Grade A, and why
python-dev 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 — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python Conventions
Stack choices
- FastAPI — async endpoints, dependency injection via
Depends(), lifespan events - Pydantic v2 — schemas at all boundaries,
ConfigDict(from_attributes=True)for ORM models - SQLAlchemy 2.0 —
select()style,Mapped[],mapped_column(). No legacy 1.x Query API - Alembic — async migrations, always review autogenerated output
- pytest + pytest-asyncio + httpx AsyncClient for testing
Coding standards
- Async-first — all I/O (DB, HTTP, LLM) must be async. No blocking calls in async paths
- Type hints everywhere — modern Python syntax (PEP 604 unions, generics)
- Pydantic at all boundaries — no raw dicts across module boundaries
- Separate request and response models — don't reuse the same schema for both
- Structured logging — use the project's logging setup, not bare
print() - Meaningful errors —
HTTPExceptionwith correct status codes and clear messages - Small, focused functions — single responsibility
Architecture
- Business logic lives in service modules, not in endpoint functions
- Endpoints: validate input, call services, return responses
- Use
Depends()for sessions, config, auth, services - Group by feature/domain when the project grows, not by layer
- Use
lazy="selectin"or explicit eager loading to avoid N+1 queries - One session per request via dependency injection
Testing
- Test behavior: inputs, outputs, status codes, side effects
- Use fixtures for shared setup — organize
conftest.pyby scope - Mock external dependencies (LLM calls, external HTTP). Never hit real services in tests
- Cover: happy path, validation errors (422), auth failures (401/403), not-found (404)
Workflow
- Orient before coding — read existing code in the area, match patterns and naming conventions
- Small, focused changes — stay within scope, don't refactor unrelated code
- Write tests alongside implementation — new endpoints and services should ship with tests
- Validate after edits — run type checker and linter, run tests if they exist in the area
- If you change database models, create a new Alembic migration revision
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 · 57 lines · 31 tokens per session scan A d2398063adf3
python-dev is a skill published in the GitHub repository jaansokk/cursor_tools (1 stars, last pushed 7mo ago), licensed MIT. It adds 31 tokens to every session and 677 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 2026-08-31.
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