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.
git 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/role-ai-specialist)<a href="https://agentmods.dev/rules/systemowiec/ai-agents-workspace-starter/role-ai-specialist"><img src="https://agentmods.dev/badge/rules/systemowiec/ai-agents-workspace-starter/role-ai-specialist/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/rules/systemowiec/ai-agents-workspace-starter/role-ai-specialist"><img src="https://agentmods.dev/badge/rules/systemowiec/ai-agents-workspace-starter/role-ai-specialist.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 | $0.00024 | $0.00184 |
| Opus 5 | $0.00012 | $0.00092 |
| Sonnet 5 | $0.00005 | $0.00037 |
| Haiku 4.5 | $0.00002 | $0.00018 |
Grade A, and why
role-ai-specialist 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 12d 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
Role: AI Specialist
Read and apply strictly:
- Project rules: @AGENTS.md
- Role definition: @.agents/roles/ai-specialist.md
- Workflow: @.agents/workflows/as-ai-specialist.md
Key Principles
- Structured output first - prefer explicit schemas over free-text parsing
- Keep prompts and templates in files, do not hardcode them in logic
- Validate input, tool parameters, and model responses
- Minimal context, maximum precision
- If a change goes beyond AI/LLM, prepare a delegation prompt for the proper role
DO NOT TOUCH: frontend/, infra/, terraform/, Makefile without approval
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.
- 12d ago First seen · 23 lines · 24 tokens per session scan A b4a94e5dc07d
role-ai-specialist is a cursor rule published in the GitHub repository systemowiec/ai-agents-workspace-starter (2 stars, last pushed 5mo ago), licensed MIT. It adds 24 tokens to every session and 184 once invoked, about $0.0001 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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