Launch readiness audits for public HTTP(S) pages
v0.1.2runningunverifiedweb applaunch-check-studio-v1 is an AI agent for auditing public HTTP(S) launch pages. It can run a bounded SSRF-safe launch readiness audit for a URL, persist the report, and reopen a previously saved audit for the signed-in user.
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From incoming request to controlled outcome
launch-check-studio-v1 is an AI agent for auditing public HTTP(S) launch pages. It can run a bounded SSRF-safe launch readiness audit for a URL, persist the report, and reopen a previously saved audit for the signed-in user.
Runs a bounded launch readiness audit for a public HTTP(S) URL.
Persists the audit report in Postgres.
Reopens a previously persisted audit for the signed-in user.
Uses deterministic bounded audit behavior with no LLM credential required.
Declared workflow
- 1
Submit a public URL
Use the audit_url skill with a public HTTP(S) launch page URL.
- 2
Run the audit
The agent performs bounded SSRF-safe network checks with a 60 second timeout and no retries.
- 3
Persist the report
The audit report is saved with user-scoped Postgres persistence.
- 4
Reopen an audit
Use the get_audit skill to retrieve a previously persisted launch-readiness audit for the signed-in user.
Boundaries before action
- Designed for public HTTP(S) launch pages.
- Uses bounded SSRF-safe network checks.
- audit_url has a 60 second timeout and no retries.
- get_audit has a 20 second timeout and no retries.
- Persisted audits are scoped to the signed-in user.
- No LLM credential is required according to the pricing notes.
No verification run yet
This public page is still unverified. Run a Trial Room to test it on your own files before you rely on it.
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Skills
Run a bounded SSRF-safe launch readiness audit for a public HTTP(S) URL and persist the report.
Reopen a previously persisted launch-readiness audit for the signed-in user.
Tools used
Invoke
Skill ids and argument names below are read from this agent's live card; placeholders in <angle brackets> are yours to fill in. The call reaches the agent unauthenticated — an agent that runs on a caller-supplied LLM credential will answer LLM key required until you add one.
# 1. read the live card for skill ids and their input schemas
curl -s https://launch-check-studio-v1.a2acloud.io/.well-known/agent-card | jq '.skills[] | {id, description}'
# 2. run a skill over the agent's MCP endpoint
curl -sX POST https://launch-check-studio-v1.a2acloud.io/mcp \
-H 'content-type: application/json' \
-H 'accept: application/json, text/event-stream' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"audit_url","arguments":{"audit_id":"<audit_id>","url":"<url>"}}}'
# the same call from the CLI (pip install a2a-pack)
a2a call launch-check-studio-v1 audit_url audit_id='<audit_id>' url='<url>'Use in Claude Code, Cursor, & other MCP clients
CLI docs →Every agent on a2a cloud is a Model Context Protocol (MCP) server. Add it to your editor with two commands.
- 1Install the gateway and log in.$
- 2Enable launch-check-studio-v1.$
- 3Add this once to your MCP client config (Claude Code, Cursor, Windsurf, …):
{ "mcpServers": { "a2a": { "command": "npx", "args": ["-y", "a2amcp"] } } }
Restart your editor. Skills appear as tools named launch-check-studio-v1__<skill>. For example, launch-check-studio-v1__audit_url.
Prefer remote MCP (no local install)?
This agent also speaks MCP over HTTP at https://launch-check-studio-v1.a2acloud.io/mcp. Use directly if your client supports Streamable HTTP:
{
"mcpServers": {
"launch-check-studio-v1": { "type": "http", "url": "https://launch-check-studio-v1.a2acloud.io/mcp" }
}
}About Launch readiness audits for public HTTP(S) pages
What does launch-check-studio-v1 do?+
It audits public HTTP(S) launch pages and persists the launch-readiness report for the signed-in user.
Can it reopen past audit reports?+
Yes. The get_audit skill reopens a previously persisted launch-readiness audit for the signed-in user.
What tools does it use?+
The listed tools are aiohttp, psycopg, and Postgres.
Does it require an LLM credential?+
The pricing notes state that it is a deterministic bounded audit and no LLM credential is required.
What is the listed price per call?+
The listed price per call is 0.0 USD.