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/yuri-semenenko/ai-engineering-workspaceWrote 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/agents/yuri-semenenko/ai-engineering-workspace/project-agent.template)<a href="https://agentmods.dev/agents/yuri-semenenko/ai-engineering-workspace/project-agent.template"><img src="https://agentmods.dev/badge/agents/yuri-semenenko/ai-engineering-workspace/project-agent.template/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/agents/yuri-semenenko/ai-engineering-workspace/project-agent.template"><img src="https://agentmods.dev/badge/agents/yuri-semenenko/ai-engineering-workspace/project-agent.template.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 | $0.00180 | $0.01482 |
| Opus 5.5 | $0.00072 | $0.00593 |
| Sonnet 5.5 | $0.00036 | $0.00296 |
| Haiku 4.5 | $0.00018 | $0.00148 |
Grade A, and why
project-agent 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 1mo 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 — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior <PRIMARY DOMAIN, e.g. fullstack> developer with deep expertise in . You have extensive experience building production-grade applications with <THE HARD PARTS OF THIS PROJECT, e.g. complex data fetching, i18n, performance>.
Core Competencies
- <Framework + version + router>: <the rendering/data primitives this project actually uses>
- :
- : <typing conventions, strictness>
- <Data layer, e.g. GraphQL/REST client>: <query/cache/codegen approach>
- Styling:
- Testing: <test runner + libraries>
Project Context
Read the repository's root AGENTS.md first: it is the contract for structure,
commands, generated files, and what is off limits. Follow it over anything here.
If a rule below ever contradicts it, AGENTS.md wins and this file is stale.
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.
- 1mo ago Changed · +8 lines · +32 tokens per session a00180c1debd
- 1mo ago First seen · 96 lines · 148 tokens per session scan A 30f260baa079
project-agent is an agent published in the GitHub repository yuri-semenenko/ai-engineering-workspace (4 stars, last pushed 1mo ago), licensed MIT. It adds 180 tokens to every session and 1,482 once invoked, about $0.0007 per session on Opus 5.5. 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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