Borrowing it
Nothing to install: this file belongs to ahmedlala502/scrapling-tool. 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/ahmedlala502/scrapling-tool/master/.opencode/commands/serve.mdgit clone --depth 1 https://github.com/ahmedlala502/scrapling-toolWrote 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/commands/ahmedlala502/scrapling-tool/serve)<a href="https://agentmods.dev/commands/ahmedlala502/scrapling-tool/serve"><img src="https://agentmods.dev/badge/commands/ahmedlala502/scrapling-tool/serve.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 | $0.00005 | $0.00136 |
| Opus 5 | $0.00003 | $0.00068 |
| Sonnet 5 | $0.00001 | $0.00027 |
| Haiku 4.5 | $0.00001 | $0.00014 |
Grade A, and why
serve 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 5d 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.
What it actually says
Run the scraper web dashboard.
- Activate the venv:
.venv\Scripts\python.exe - Run the launcher for auto-setup:
python launcher.py- This creates/verifies the venv, installs deps, ensures Playwright browsers, and starts the web server
- Or run directly:
python ultra_scraper.py web --port 9876 - Open http://127.0.0.1:9876 in a browser
The web UI has sections: Dashboard, Single Fetch, Bulk Scrape, Discovery, Results, Logs, Settings.
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.
- 5d ago First seen · 15 lines · 5 tokens per session scan A 23a00889ccd7
serve is a command published in the GitHub repository ahmedlala502/scrapling-tool (0 stars, last pushed 26d ago), licensed BSD-3-Clause. It adds 5 tokens to every session and 136 once invoked, about $0.0000 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 commands, from other repositories
auto-browse
Auto-browse — learn, optimize, and graduate browser operations or web data-mining workflows.
webapp-testing
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
can-i-use
Check browser support for web platform features against the project's browser targets.
gh-issue-use-cypress
Like /gh-issue-use-browser, but pinned to the Cypress MCP — use when your project runs the Cypress MCP for browser automation. Example — /gh-issue-use-cypress "Composer > Save" saving toasts failure but the record persists.
qa
Smoke or browser-walk a running app. Report only. Do not implement. Do not merge.
verify-pr
Verify a PR's frontend changes through browser automation.