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/aps08/fullstack-clean-architecture/global-contextgit clone --depth 1 https://github.com/aps08/fullstack-clean-architectureWhat 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 | $0.00107 | $0.00107 |
| Opus 5 | $0.00053 | $0.00053 |
| Sonnet 5 | $0.00021 | $0.00021 |
| Haiku 4.5 | $0.00011 | $0.00011 |
Grade A, and why
global-context 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.
What it actually says
Global Context Alignment
Before writing, modifying, or refactoring any code in this workspace, you must read and adhere strictly to the guidelines, technology stack configurations, and coding standards defined in the root AGENTS.md file.
- Source of Truth: If there is any discrepancy between your default training data and the patterns specified in
AGENTS.md, the rules inAGENTS.mdalways take precedence.
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 · 12 lines · 107 tokens per session scan A 30c87b792885
global-context is a cursor rule published in the GitHub repository aps08/fullstack-clean-architecture (2 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 107 tokens to every session, about $0.0005 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
us-prioritization
Cursor rule "us-prioritization" from KaelSensei/MagicAIBuilder, covering set to false so it only applies when relevant, user story prioritization & weighting, story points (planning poker), what it is and why fibonacci?.
documentation
CRITICAL: Update documentation automatically after every code change.
technical-stack
These rules guide the AI assistant when generating or modifying code in MagicTheOfflining, a React Native offline MTG deck viewer.
version-management
Automatically commit and push changes after completing any feature, bug fix, or significant addition.
architecture-skill
Based on Robert C. Martin (Clean Architecture) and Alistair Cockburn (Hexagonal Architecture), adapted to Next.js 15 App Router. For the full reference, see the clean-architecture skill under .agents/skills/clean-architecture/SKILL.md.
tdd-skill
TDD follows Kent Beck's short feedback loop. With an AI agent, the Green step is more deliberate: do not ask for intentionally dirty code and plan a cleanup pass. Ask for the smallest production-quality implementation that satisfies the test, then reserve deeper design changes for a separate refining refactor.