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/guiminchen/crate/cursorrulesgit clone --depth 1 https://github.com/GuiminChen/crateWhat 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 | $0.00605 | $0.00605 |
| Opus 5 | $0.00302 | $0.00302 |
| Sonnet 5 | $0.00121 | $0.00121 |
| Haiku 4.5 | $0.00060 | $0.00060 |
Grade A, and why
cursorrules 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.
How it starts
The opening of the file, as written. The whole thing — 28 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CRATE AI development guidelines
Product shape
CRATE is a file-first personal knowledge compiler: raw/ captures stay traceable; wiki/ holds a linked Markdown encyclopedia maintained by LLM-assisted compile passes, plus lint, search, and optional Q&A outputs.
Non-negotiables
- Local-first: The vault on disk is the source of truth; cloud is for inference only when the user opts in.
- Zone boundaries: Default policy — do not overwrite files under
raw/**. LLM write paths arewiki/**and configured output dirs (e.g.wiki/outputs/**). - Provenance: Compiled pages must tie back to
raw/or URLs via front matter (sources). - Safety: Canonicalize paths; reject escape from vault root. No secrets in repo or wiki. No arbitrary shell from agents unless explicitly scoped and documented.
- Budgets: Compile and Q&A runs should respect token/page budgets and remain idempotent where possible.
- Quality: New Python code uses type hints, structured logging, tests for non-trivial logic, and matches
pyprojecttool settings (black, isort, flake8, mypy). - Testing: Follow .cursor/rules/testing.md: every feature or substantive change updates
tests/; runpytestand ensure green before calling work done. - Bug memory: Follow .cursor/rules/lessons_from_bugs.md: when fixing a bug, append docs/lessons-learned.md and add a regression test when feasible.
When implementing features
- M0–M3 scope and cross-cutting commands (
compile --wiki-graph,wiki graph,report raw-wiki,ingest,wiki index-extend,lint --http-external, etc.) are summarized in .cursor/rules/architecture.md. - Read docs/PRD.md for scope and priorities; docs/technical-design.md for flows and vault layout; docs/providers.md for OpenAI-compatible chat/embedding env (
CRATE_LLM_PROVIDER,CRATE_EMBEDDING_*). - Repo entrypoints: README.md (English) · README.zh.md (简体中文).
- Prefer small, reviewable diffs; extend existing abstractions instead of duplicating vault/path logic.
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 · 28 lines · 605 tokens per session scan A f2bef828d022
cursorrules is a cursor rule published in the GitHub repository GuiminChen/crate (16 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 605 tokens to every session, about $0.0030 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 2026-08-30.
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typescript
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coolify-ai-docs
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python_lib
Tips and guidelines specific to the development of the Streamlit Python library, not applicable to scripts and e2e tests.
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