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 rules/sandeep-alluru/groundcrew/projectgit clone --depth 1 https://github.com/sandeep-alluru/groundcrewWhat 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 | $0.00225 | $0.00225 |
| Opus 5 | $0.00112 | $0.00112 |
| Sonnet 5 | $0.00045 | $0.00045 |
| Haiku 4.5 | $0.00022 | $0.00022 |
Grade A, and why
project 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.
Copies of this mod
8 near-identical copies found in the catalogue:
- project — 89% identical, 8 lines differ
- project — 89% identical, 8 lines differ
- project — 89% identical, 8 lines differ
- project — 88% identical, 8 lines differ
- project — 86% identical, 8 lines differ
- project — 83% identical, 8 lines differ
- project — 81% identical, 8 lines differ
- project — 81% identical, 8 lines differ
What it actually says
groundcrew — Cursor Rules
What this project does
Deterministic state oracle and semantic action codec for computer-use agents
Module map
src/groundcrew/
├── # TODO: fill in after implementation
Invariants — never break these
- TODO: list invariants
Code style
- Python 3.10+, fully type-annotated, mypy strict mode
- Ruff lint rules: E W F I UP B S N SIM RUF PT
- No print() in library code — use rich.console.Console
- All public functions and classes must have docstrings
- Tests: pytest, CliRunner for CLI tests
When adding a new feature
- Implement in the appropriate module
- Export from init.py, add to all alphabetically
- Add tests in tests/test_.py
- Update CHANGELOG.md under [Unreleased]
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 · 33 lines · 225 tokens per session scan A 6e95564390da
project is a cursor rule published in the GitHub repository sandeep-alluru/groundcrew (0 stars, last pushed 15d ago), licensed MIT. It adds 225 tokens to every session, about $0.0011 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.
Other cursor rules, from other repositories
rust-rustrover-cargo
Rust edits use RustRover MCP for structure and Cargo for validation.
angular-20
This rule provides comprehensive best practices and coding standards for Angular development, focusing on modern TypeScript, standalone components, signals, and performance optimizations.
dev-standard
Apache Superset development standards and guidelines for Cursor IDE.
coolify-ai-docs
Master reference to all Coolify AI documentation in .ai/ directory.
typescript
Changes to these high-fan-out internals can affect every message, delta, element, or rerun. Keep work in them minimal, and benchmark changes with representative stress-test apps.
python_lib
Tips and guidelines specific to the development of the Streamlit Python library, not applicable to scripts and e2e tests.