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/systemowiec/ai-agents-workspace-starter/globalgit clone --depth 1 https://github.com/systemowiec/ai-agents-workspace-starterWrote 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/rules/systemowiec/ai-agents-workspace-starter/global)<a href="https://agentmods.dev/rules/systemowiec/ai-agents-workspace-starter/global"><img src="https://agentmods.dev/badge/rules/systemowiec/ai-agents-workspace-starter/global.svg" alt="Measured on agentmods" 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 | $0.00554 | $0.00554 |
| Opus 5 | $0.00277 | $0.00277 |
| Sonnet 5 | $0.00111 | $0.00111 |
| Haiku 4.5 | $0.00055 | $0.00055 |
Grade A, and why
global 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 5d 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.
What it actually says
Global Rules
Read
AGENTS.md- the single source of truth for ALL project rules.
Docker First - ABSOLUTELY
- NEVER run commands locally. Only
make/docker compose. - Forbidden:
python3,pip,npm,npx,pytest,ruff,mypy,alembic - Allowed:
make test,make lint,make up,make shell,make build
4 Cardinal Rules
- Quality-First - best solution always. Proactive improvements.
- Documentation First - docs BEFORE code. Documentation = source of truth.
- Docker First - NEVER locally. Only make / docker compose.
- Plan -> Review -> Implementation - WAIT for acceptance.
Architecture
- Hexagonal Architecture (Ports & Adapters)
- Order: domain -> application -> adapters -> interface
- Full details in
AGENTS.mdsection 5
Formatting
- NEVER use typographic dashes (em-dash, en-dash). Only
-(ASCII 45) - Conventional commits:
feat:,fix:,refactor:,test:,docs:,infra:,ci: - Branch:
feat/{PREFIX}-NNN-description,fix/{PREFIX}-NNN-description(per.agents/rules/git-workflow.md)
Workflow
EVERY task MUST go through
.agents/workflows/spec-development.md
- Problem analysis
- PLAN (bullet points)
- Wait for acceptance
- Documentation (BEFORE code!)
- Implementation
- Verification (
.agents/workflows/post-impl-verify.md) - Summary + diff of changes
Agent Resources
AGENTS.md- full rules (READ FIRST).agents/roles/- role definitions (analyst, architect, backend-engineer, frontend-engineer, platform-engineer, e2e-engineer, ai-specialist, quality-gate).agents/skills/- code patterns and procedures.agents/workflows/- processes (dt-development, post-impl-verify, create-dt, complete-dt).agents/rules/- global rules and git workflow.agents/learnings/- pitfalls and unusual behaviorsdocs/templates/- spec templates, reports, modulesdocs/specs/- spec directories with scope, impl and review reports
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.
- 5d ago First seen · 57 lines · 554 tokens per session scan A a6968b6d02d9
global is a cursor rule published in the GitHub repository systemowiec/ai-agents-workspace-starter (2 stars, last pushed 5mo ago), licensed MIT. It adds 554 tokens to every session, about $0.0028 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.
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