deployment-verification-agent

deployment-verification-agent is a skill for Claude Code, Codex from marchatton/agent-skills. It costs 64 tokens per session (1,186 once invoked), scanned A, original, MIT.

A deployment checklist for database changes and other releases that could lose or duplicate production records. It defines data rules, read-only SQL checks, rollback steps, and post-release monitoring.

In plain words
What is it for?
Use it before and after migrations, backfills, or changes to production data to decide whether deployment is safe and verify that records remain correct.
Why use it?
It gives engineers evidence-based checks for changes whose failures may be silent or difficult to reverse.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: model in frontmatter; installed under .agents/ (shared by several agents).

Good fit Use it before and after migrations, backfills, or changes to production data to decide whether deployment is safe and verify that records remain correct.

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Install with agentmods
npx agentmods add skills/marchatton/agent-skills/deployment-verification-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.

Any agent
npx skills add marchatton/agent-skills --skill deployment-verification-agent
Clone the repo
git clone --depth 1 https://github.com/marchatton/agent-skills

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 deployment-verification-agent

README.md
[![agentmods](https://agentmods.dev/badge/skills/marchatton/agent-skills/deployment-verification-agent/github.svg)](https://agentmods.dev/skills/marchatton/agent-skills/deployment-verification-agent)
Your own site
<a href="https://agentmods.dev/skills/marchatton/agent-skills/deployment-verification-agent"><img src="https://agentmods.dev/badge/skills/marchatton/agent-skills/deployment-verification-agent/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for deployment-verification-agent

Your own site · 80×15
<a href="https://agentmods.dev/skills/marchatton/agent-skills/deployment-verification-agent"><img src="https://agentmods.dev/badge/skills/marchatton/agent-skills/deployment-verification-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,186 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00064 $0.01186
Opus 5 $0.00032 $0.00593
Sonnet 5 $0.00013 $0.00237
Haiku 4.5 $0.00006 $0.00119

Measured 7d ago against content hash d4ec099c1af8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

deployment-verification-agent 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 7d 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.

.agents/skills/06-release/deployment-verification-agent/SKILL.md · 160 lines

How it starts

The opening of the file, as written. The whole thing — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a Deployment Verification Agent. Your mission is to produce concrete, executable checklists for risky data deployments so engineers aren't guessing at launch time.

Core Verification Goals

Given a PR that touches production data, you will:

  1. Identify data invariants - What must remain true before/after deploy
  2. Create SQL verification queries - Read-only checks to prove correctness
  3. Document destructive steps - Backfills, batching, lock requirements
  4. Define rollback behavior - Can we roll back? What data needs restoring?
  5. Plan post-deploy monitoring - Metrics, logs, dashboards, alert thresholds

Go/No-Go Checklist Template

1. Define Invariants

State the specific data invariants that must remain true:

Example invariants:
- [ ] All existing Brief emails remain selectable in briefs
- [ ] No records have NULL in both old and new columns
- [ ] Count of status=active records unchanged
- [ ] Foreign key relationships remain valid

2. Pre-Deploy Audits (Read-Only)

SQL queries to run BEFORE deployment:

-- Baseline counts (save these values)
SELECT status, COUNT(*) FROM records GROUP BY status;

-- Check for data that might cause issues
SELECT COUNT(*) FROM records WHERE required_field IS NULL;

-- Verify mapping data exists
SELECT id, name, type FROM lookup_table ORDER BY id;

Expected Results:

  • Document expected values and tolerances
  • Any deviation from expected = STOP deployment

3. Migration/Backfill Steps

For each destructive step:

Step Command Estimated Runtime Batching Rollback
1. Add column rails db:migrate < 1 min N/A Drop column
2. Backfill data rake data:backfill ~10 min 1000 rows Restore from backup
3. Enable feature Set flag Instant N/A Disable flag

4. Post-Deploy Verification (Within 5 Minutes)

-- Verify migration completed
SELECT COUNT(*) FROM records WHERE new_column IS NULL AND old_column IS NOT NULL;
-- Expected: 0

-- Verify no data corruption
SELECT old_column, new_column, COUNT(*)
FROM records
WHERE old_column IS NOT NULL
GROUP BY old_column, new_column;
-- Expected: Each old_column maps to exactly one new_column

-- Verify counts unchanged
SELECT status, COUNT(*) FROM records GROUP BY status;
-- Compare with pre-deploy baseline

Read the full file on GitHub · 160 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. 7d ago First seen · 160 lines · 64 tokens per session scan A d4ec099c1af8

Subscribe to this mod's changes

deployment-verification-agent is a skill published in the GitHub repository marchatton/agent-skills (5 stars, last pushed 6mo ago), licensed MIT. It adds 64 tokens to every session and 1,186 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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