deploy-verify

deploy-verify is a skill for Claude Code, Codex from kensaurus/cursor-kenji. It costs 70 tokens per session (3,523 once invoked), scanned A, original, MIT.

A post-deployment health check that tests a live application in the browser and checks connected services such as Sentry, Supabase, Langfuse, and the public web.

In plain words
What is it for?
Use it for production smoke tests, release checks, and decisions about whether to monitor, fix, or roll back a deployment.
Why use it?
It helps catch production regressions after a release and separates real failures from missing or pre-existing monitoring data.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

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 skills/kensaurus/cursor-kenji/deploy-verify
Any agent
npx skills add kensaurus/cursor-kenji --skill deploy-verify
Clone the repo
git clone --depth 1 https://github.com/kensaurus/cursor-kenji

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for deploy-verify

README.md
[![agentmods](https://agentmods.dev/badge/skills/kensaurus/cursor-kenji/deploy-verify.svg)](https://agentmods.dev/skills/kensaurus/cursor-kenji/deploy-verify)
Your own site
<a href="https://agentmods.dev/skills/kensaurus/cursor-kenji/deploy-verify"><img src="https://agentmods.dev/badge/skills/kensaurus/cursor-kenji/deploy-verify.svg" alt="Measured on agentmods" height="20"></a>
Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,523 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 5.1 $0.00070 $0.03523
Opus 5 $0.00035 $0.01761
Sonnet 5 $0.00014 $0.00705
Haiku 4.5 $0.00007 $0.00352

Measured 2d ago against content hash 6cf414f93d48, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

deploy-verify 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 2d 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.

skills/deploy-verify/SKILL.md · 474 lines

How it starts

The opening of the file, as written. The whole thing — 474 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Post-Deploy Verification

Degree of freedom: MIXED. Verdict and MONITOR escalation [HIGH freedom]; probe sequences and the report table [LOW freedom — run exactly].

Automated post-deploy health check across all services. Run after every deploy to catch regressions before users do. Works with any project — auto-detects configuration.

How to reason

  1. Observe — what did each probe actually return (counts, logs, screenshots)?
  2. Interpret — new-since-deploy vs pre-existing; skip-missing vs real fail
  3. Classify — PASS / MONITOR / FAIL per phase
  4. Severity — auth/data-loss/5xx on the main path outranks a Langfuse quiet window

Worked example

Observe: home loads; Sentry shows 12 new TypeError on /checkout; Supabase API 200s. Interpret: checkout is a critical path; errors started with this release. Classify: Sentry FAIL, smoke FAIL on checkout, DB PASS. Verdict: ROLLBACK — main money path is 5xx, not a MONITOR item.

Self-critique before reporting

  • Evidence — every row cites a probe result, not "looks fine"
  • Binary verdict — SHIP / MONITOR / HOTFIX / ROLLBACK with a next action
  • Skip honesty — missing Sentry/Supabase/Langfuse is SKIP, not PASS
  • Right owner — npm publish → deploy-npm; observe window → workflow-ship-and-observe

Critical Rules

Run within 15 minutes of deploy. The sooner you check, the smaller the blast radius.

Parallel where possible. Sentry, Supabase, and Langfuse checks are independent — run them in parallel to save time.

The verdict must be binary. SHIP, ROLLBACK, or MONITOR (with clear criteria for when MONITOR escalates to ROLLBACK).

Evidence over opinion. Every check produces a PASS/FAIL with specific data. Never say "looks fine."

Always use the protocol-browser-anti-stall protocol when using playwright-cli.


Phase 0: Auto-Detect Deployment Context [LOW freedom — run exactly]

0a. Detect Deployment Platform

Read the full file on GitHub · 474 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. 2d ago First seen · 474 lines · 70 tokens per session scan A 6cf414f93d48

Subscribe to this mod's changes

deploy-verify is a skill published in the GitHub repository kensaurus/cursor-kenji (9 stars, last pushed 8d ago), licensed MIT. It adds 70 tokens to every session and 3,523 once invoked, about $0.0003 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 2026-09-03.

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