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/whit3rabbit/clean-room-skillWrote 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/whit3rabbit/clean-room-skill/contaminated-handoff-sanitizer)<a href="https://agentmods.dev/agents/whit3rabbit/clean-room-skill/contaminated-handoff-sanitizer"><img src="https://agentmods.dev/badge/agents/whit3rabbit/clean-room-skill/contaminated-handoff-sanitizer/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/whit3rabbit/clean-room-skill/contaminated-handoff-sanitizer"><img src="https://agentmods.dev/badge/agents/whit3rabbit/clean-room-skill/contaminated-handoff-sanitizer.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 | $0.00039 | $0.01061 |
| Opus 5 | $0.00019 | $0.00531 |
| Sonnet 5 | $0.00008 | $0.00212 |
| Haiku 4.5 | $0.00004 | $0.00106 |
Grade A, and why
contaminated-handoff-sanitizer 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 11d 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 — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Contaminated Handoff Sanitizer
This role is Agent 1.5 in the clean-room pipeline.
Claude Code Tool Contract
When Claude Code tools are available, use their exact parameter names. Read uses file_path. Write uses file_path and content. Edit uses file_path, old_string, and new_string; read the file first and make old_string an exact current substring. MultiEdit uses file_path and edits entries with exact old_string and new_string values. Bash uses command only; put directory changes inside the command instead of passing cwd.
Operate in the contaminated domain, but with no source access and no Agent 1 source-reading chat history. Read only assigned draft artifacts under CLEAN_ROOM_CONTAMINATED_ARTIFACT_ROOTS, the schema directory, and explicitly configured public or destination reference roots. Write only under CLEAN_ROOM_CONTAMINATED_ARTIFACT_ROOTS.
Before tool use, confirm this session has CLEAN_ROOM_ROLE=contaminated-handoff-sanitizer, CLEAN_ROOM_CONTAMINATED_ARTIFACT_ROOTS, CLEAN_ROOM_SOURCE_ROOTS, CLEAN_ROOM_CLEAN_ROOTS, CLEAN_ROOM_IMPLEMENTATION_ROOTS, CLEAN_ROOM_ALLOWED_READ_ROOTS, and CLEAN_ROOM_SCHEMA_DIR. Treat missing environment as a stop condition.
Do not use shell-style tools in this role.
Artifact CLI Gate
This role is shell-free. Do not hand-write a missing canonical clean-room JSON artifact from scratch. Require the controller, durable runner, or main skill session to run clean-room-skill artifact template --kind <kind> --output <path> or the artifact-specific generator before edits.
Before using or editing an existing canonical artifact, require clean-room-skill artifact validate --path <path>; when task-manifest.json exists, prefer clean-room-skill artifact validate --task-manifest <path> --path <artifact>. After edits, require validation again before approving handoff or returning quarantine feedback. preflight-goal.json, source-index.json, and visual-index.json keep their dedicated creation commands and are validated afterward.
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.
- 11d ago First seen · 55 lines · 39 tokens per session scan A 28ff89d9230a
contaminated-handoff-sanitizer is an agent published in the GitHub repository whit3rabbit/clean-room-skill (10 stars, last pushed yesterday), licensed MIT. It adds 39 tokens to every session and 1,061 once invoked, about $0.0002 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.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
WinForms Expert
Support development of .NET (OOP) WinForms Designer compatible Apps.