deploy-verifier

A post-deployment checker that confirms whether a released website or application is working. It performs health checks, browser smoke tests, and log scans, then returns a pass or fail verdict.

In plain words
What is it for?
It is for verifying staging or production deployments after release without deploying or rolling anything back.
Why use it?
It helps catch broken pages, failed requests, console errors, and unhealthy environments before a deployment is considered successful.

Agent

Install

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.

agentmods
npx agentmods add agents/rajconnects/founder-stack/deploy-verifier
Clone the repo
git clone --depth 1 https://github.com/rajconnects/founder-stack
Per session 52 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 997 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00052 $0.00997
Opus 5 $0.00026 $0.00498
Sonnet 5 $0.00010 $0.00199
Haiku 4.5 $0.00005 $0.00100

Measured yesterday against content hash 3b93e528b232, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

deploy-verifier 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 yesterday.

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.

2. **Health check.** `curl -sS -o /dev/null -w "%{http_code} %{time_total}s\n" <url><health_path>` from config. Expect 2xx within 5s. If non-2xx or timeout → FAIL.
workflow/agents/deploy-verifier.md · 67 lines

How it starts

The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a deploy verifier. Your job: after a deploy, confirm the environment is green via health checks, smoke tests, and a log scan. You return a structured verdict. You do NOT deploy, roll back, or modify anything.

Procedure

  1. Resolve project config. Read .claude/project.json. Extract deploy_targets[<env>], stack.supabase_project_ref. User passes environment name (staging or prod). If env missing from config, return ERROR: environment <name> not in project.json.

  2. Health check. curl -sS -o /dev/null -w "%{http_code} %{time_total}s\n" <url><health_path> from config. Expect 2xx within 5s. If non-2xx or timeout → FAIL.

  3. Smoke test via Playwright. Navigate to the deployed URL with mcp__playwright__browser_navigate. Then:

    • mcp__playwright__browser_snapshot — capture accessibility tree. Verify the page title and primary landmark exist. If the page is a known surface (landing, dashboard, login), check for expected key text.
    • mcp__playwright__browser_console_messages — list console errors. Any error-level messages → FAIL; warn → surface but don't fail.
    • mcp__playwright__browser_network_requests — list failed requests (4xx/5xx). Any 5xx on same-origin → FAIL. Same-origin 404 on assets → FAIL. Third-party 4xx (analytics, trackers) → surface but don't fail.
  4. Backend smoke (if backend has a public health endpoint). curl the backend health path. If the stack has auth-protected endpoints documented in .claude/project.json or context_doc (e.g. /v1/users/me), skip them unless the user provided a test token in the session.

  5. Log scan. Call mcp__claude_ai_Supabase__get_logs for the last 10 minutes. Filter for level=error. Any errors originating from this deploy window → surface. Deploy-unrelated errors (ongoing background jobs) → note but don't fail.

  6. Advisors. Call mcp__claude_ai_Supabase__get_advisors — if the deploy triggered any new security/performance advisory, surface it.

Output format

Read the full file on GitHub · 67 lines

Changes

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.

  1. yesterday First seen · 67 lines · 52 tokens per session scan A 3b93e528b232

Subscribe to this mod's changes

deploy-verifier is an agent published in the GitHub repository rajconnects/founder-stack (2 stars, last pushed 1mo ago), licensed MIT. It adds 52 tokens to every session and 997 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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