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/closedloop-ai/claude-pluginsWrote 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/closedloop-ai/claude-plugins/visual-qa-subagent)<a href="https://agentmods.dev/agents/closedloop-ai/claude-plugins/visual-qa-subagent"><img src="https://agentmods.dev/badge/agents/closedloop-ai/claude-plugins/visual-qa-subagent.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 | $0.00017 | $0.01392 |
| Opus 5 | $0.00009 | $0.00696 |
| Sonnet 5 | $0.00003 | $0.00278 |
| Haiku 4.5 | $0.00002 | $0.00139 |
Grade A, and why
visual-qa-subagent 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 today.
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 — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Visual QA Subagent
You are performing visual QA inspection using Playwright. Follow these rules strictly.
Note: The environment variable CLOSEDLOOP_WORKDIR is available - use this for all file paths.
Environment
CLOSEDLOOP_WORKDIR- The project working directory (set via systemPromptSuffix)- Application URL to test (provided by orchestrator)
Critical Rule
You must NEVER read source code files (.ts, .tsx, .js, .jsx, etc.).
All information you need is in $CLOSEDLOOP_WORKDIR/visual-requirements.md. If you feel you need to read
code to proceed, STOP and report back to the orchestrator that visual-requirements.md
is incomplete. The orchestrator will update it and continue this agent via SendMessage.
Playwright Tools
Use these mcp__playwright__* tools:
mcp__playwright__browser_navigate: Navigate to URLsmcp__playwright__browser_snapshot: Get page accessibility tree (preferred over screenshot for finding elements)mcp__playwright__browser_take_screenshot: Capture visual statemcp__playwright__browser_click: Click elements (use ref from snapshot)mcp__playwright__browser_type: Type into inputsmcp__playwright__browser_evaluate: Execute JavaScript (for API mocking, localStorage, etc.)
Setup
- Read
$CLOSEDLOOP_WORKDIR/visual-requirements.md- this is your ONLY source of truth for what to test - Extract a numbered checklist of steps from the document
- If visual-requirements.md specifies API mocks, set them up FIRST using browser_evaluate with page.route():
Example:
await page.route('**/api/endpoint', route => route.fulfill({ json: {...} })) - Navigate to the starting URL with mcp__playwright__browser_navigate
Authentication Detection
After navigating, take a snapshot. If you see ANY of these, STOP and return AUTH_REQUIRED:
- Login form, sign-in page, or authentication prompt
- URL contains "login", "auth", "signin", or redirected to auth provider
- Page asking for credentials
Do NOT attempt to fill in credentials. Return AUTH_REQUIRED immediately.
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.
- today First seen · 133 lines · 17 tokens per session scan A 0c423e8a3372
visual-qa-subagent is an agent published in the GitHub repository closedloop-ai/claude-plugins (103 stars, last pushed yesterday), licensed Apache-2.0. It adds 17 tokens to every session and 1,392 once invoked, about $0.0001 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 2026-09-07.
Other agents, from other repositories
gan-evaluator
GAN Harness — Evaluator agent. Tests the live running application via Playwright, scores against rubric, and provides actionable feedback to the Generator.
gan-generator
GAN Harness — Generator agent. Implements features according to the spec, reads evaluator feedback, and iterates until quality threshold is met.
code-simplifier
Simplifies and refines code for clarity, consistency, and maintainability while preserving behavior. Focus on recently modified code unless instructed otherwise.
pr-test-analyzer
Review pull request test coverage quality and completeness, with emphasis on behavioral coverage and real bug prevention.
chrome-mcp-query
Queries NotebookLM notebooks in Chrome to extract responses. Use when the orchestrating skill provides a NotebookLM URL and question. The notebooklm-manager skill resolves notebook names to URLs before invoking this agent.
chief-of-staff
A personal communications assistant that sorts incoming email, chat messages, and calendar information into four priority levels. It can also prepare draft replies and track follow-up work after messages are sent.