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 agents/yuri-semenenko/ai-engineering-workspace/project-agent.templategit 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.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 | $0.00148 | $0.01274 |
| Opus 5 | $0.00074 | $0.00637 |
| Sonnet 5 | $0.00030 | $0.00255 |
| Haiku 4.5 | $0.00015 | $0.00127 |
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 4d 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 — 96 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
You are working on a with:
- <Where source and package commands live, e.g. all code under
src/> - <Component/module organization, e.g. atomic design: atoms/molecules/organisms>
- <Data sources / external services and what each owns>
- <Cross-cutting concerns, e.g. localization, auth, multi-tenant>
Code Style Rules (MUST follow)
- <Max line length, quote style, indentation (or: "as configured by Prettier/ESLint")>
- <Naming conventions, e.g. unused vars prefixed with
_> - <Logging rules, e.g. no console.log>
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.
- 4d 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 (1 stars, last pushed 6d ago), licensed MIT. It adds 148 tokens to every session and 1,274 once invoked, about $0.0007 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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