Borrowing it
Nothing to install: this file belongs to aakashH242/mcp-playwright. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/aakashH242/mcp-playwright/main/AGENTS.mdgit clone --depth 1 https://github.com/aakashH242/mcp-playwrightWrote 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/instructions/aakashh242/mcp-playwright/agents-md)<a href="https://agentmods.dev/instructions/aakashh242/mcp-playwright/agents-md"><img src="https://agentmods.dev/badge/instructions/aakashh242/mcp-playwright/agents-md.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 | $0.00658 | $0.00658 |
| Opus 5 | $0.00329 | $0.00329 |
| Sonnet 5 | $0.00132 | $0.00132 |
| Haiku 4.5 | $0.00066 | $0.00066 |
Grade A, and why
mcp-playwright AGENTS.md scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -L "$uri" -o "$out" How it starts
The opening of the file, as written. The whole thing — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Playbook
Plan First
- Write a brief todo list before acting (use a todo tool if available; otherwise outline in chat). Include evidence steps (screenshots on key actions).
Navigation & Interaction
- Use the Playwright MCP server for browser tasks. After navigation, inspect the page before acting.
- Ensure targets are visible; if hidden, reveal via JS (
display/visibility/opacity) or trigger the parent/label. Try alternative triggers if still blocked. - Use sensible waits/timeouts and glance at console logs after major steps.
Evidence (Screenshots/Logs/PDFs/Tests)
- Take and name screenshots for important actions (navigate, click, upload/download, script/DOM changes). Note download URLs.
- When a downloadable URL/resource_link is available, present it as a clickable link, mention it is under Resources, and ask if the user wants a local download. If yes, run the platform command below.
Downloads:
- Windows PowerShell
$uri = "https://gateway.example.com/resources/abc123/report.pdf"
$out = "$HOME\Downloads\report.pdf"
Invoke-WebRequest -Uri $uri -OutFile $out
- Linux/macOS shell
uri="https://gateway.example.com/resources/abc123/report.png"
out="$HOME/Downloads/report.png"
curl -L "$uri" -o "$out"
# or: wget -O "$out" "$uri"
File Uploads
- If HTTP mode: call
construct_upload_url, upload via curl/PowerShell, then callplaywright_upload_filewith the returned resource URI.- PowerShell:
$filePath="/tmp/filepath.png"; $uploadUrl="http://host.com:8000/mcp/uploads/session-id"; $sessionId="session-id"; & 'C:\Windows\System32\curl.exe' -X POST -F "file=@$filePath" -H "X-MCP-Session-ID: $sessionId" $uploadUrl; Start-Sleep -Seconds 3 - Unix shell:
filePath="/tmp/filepath.png"; uploadUrl="http://host.com:8000/mcp/uploads/session-id"; sessionId="session-id"; curl -X POST -F "file=@${filePath}" -H "X-MCP-Session-ID: ${sessionId}" "${uploadUrl}" && sleep 3
- PowerShell:
- If stdio mode: call
playwright_upload_filewith a localfilePath.
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.
- 6d ago First seen · 49 lines · 658 tokens per session scan A 048492dc443a
mcp-playwright AGENTS.md is an instructions file published in the GitHub repository aakashH242/mcp-playwright (1 stars, last pushed 9mo ago), licensed MIT. It adds 658 tokens to every session, about $0.0033 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It comes from a forked repository.
Other instructions, from other repositories
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langchain AGENTS.md
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spec-kit AGENTS.md
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