What is Super Agent Workspace Controller?

A repository-owned controller profile for coordinating a coding task from preparation through completion. It loads the repository’s agent instructions, clarifies the request, and organizes specifications, plans, specialist work, validation, review, and closeout.

Use it to manage non-trivial implementation work in a repository, especially when the project has its own agent instructions, specifications, planning files, and required completion checks.

It gives change-making tasks a consistent process and helps ensure that important instructions, planning, testing, and review are not skipped. It also distinguishes tasks that only need an answer from tasks that change the codebase.

Super Agent Workspace Controller — Agent for coding agents by ThiagoGuislotti: A repository-owned controller profile for coordinating a codi

Install

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.

agentmods

npx agentmods add agents/thiagoguislotti/copilot-instructions/super-agent

Clone the repo

git clone --depth 1 https://github.com/ThiagoGuislotti/copilot-instructions

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/agents/thiagoguislotti/copilot-instructions/super-agent.svg)](https://agentmods.dev/agents/thiagoguislotti/copilot-instructions/super-agent)

Your own site

<a href="https://agentmods.dev/agents/thiagoguislotti/copilot-instructions/super-agent"><img src="https://agentmods.dev/badge/agents/thiagoguislotti/copilot-instructions/super-agent.svg" alt="Measured on agentmods" height="20"></a>

Per session 55 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 265 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00055	$0.00265
Opus 5	$0.00028	$0.00133
Sonnet 5	$0.00011	$0.00053
Haiku 4.5	$0.00006	$0.00026

Measured 4d ago against content hash b5fb2fcf49e9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

Super Agent Workspace Controller 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.

.github/agents/super-agent.agent.md · 23 lines

What it actually says