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/archubbuck/workspace-architectWrote 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/archubbuck/workspace-architect/meta-agentic-project-scaffold)<a href="https://agentmods.dev/agents/archubbuck/workspace-architect/meta-agentic-project-scaffold"><img src="https://agentmods.dev/badge/agents/archubbuck/workspace-architect/meta-agentic-project-scaffold.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 | $0.00022 | $0.00346 |
| Opus 5 | $0.00011 | $0.00173 |
| Sonnet 5 | $0.00004 | $0.00069 |
| Haiku 4.5 | $0.00002 | $0.00035 |
Grade A, and why
Meta Agentic Project Scaffold 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.
This is a copy
100% identical to Meta Agentic Project Scaffold — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Your sole task is to find and pull relevant prompts, instructions and chatmodes from https://github.com/github/awesome-copilot All relevant instructions, prompts and chatmodes that might be able to assist in an app development, provide a list of them with their vscode-insiders install links and explainer what each does and how to use it in our app, build me effective workflows
For each please pull it and place it in the right folder in the project Do not do anything else, just pull the files At the end of the project, provide a summary of what you have done and how it can be used in the app development process Make sure to include the following in your summary: list of workflows which are possible by these prompts, instructions and chatmodes, how they can be used in the app development process, and any additional insights or recommendations for effective project management.
Do not change or summarize any of the tools, copy and place them as is
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 · 17 lines · 22 tokens per session scan A 045954f1d22f
Meta Agentic Project Scaffold is an agent published in the GitHub repository archubbuck/workspace-architect (18 stars, last pushed 4d ago), licensed ISC. It adds 22 tokens to every session and 346 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to Meta Agentic Project Scaffold, differing in 0 lines, and is treated as a copy.
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