review-deployment

review-deployment is a skill for Claude Code, Codex from sordi-ai/skill-everything. It costs 29 tokens per session (663 once invoked), scanned A, original, MIT.

A checklist for reviewing code before merging it and for planning a software deployment. A deployment is the process of releasing changes to users, including database changes and checks after release.

In plain words
What is it for?
Use it to review pull requests, check input validation and secrets, look for inefficient database queries, verify migrations, plan rollbacks, and confirm that a release works afterward.
Why use it?
It catches missing tests, security problems, performance issues, migration-order mistakes, and weak rollback plans before they cause failures. It gives reviews and releases repeatable checks.

Skill for Claude CodeCodex

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

Good fit Use it to review pull requests, check input validation and secrets, look for inefficient database queries, verify migrations, plan rollbacks, and confirm that a release works afterward.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sordi-ai/skill-everything/review-deployment
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 sordi-ai/skill-everything --skill review-deployment
Clone the repo
git clone --depth 1 https://github.com/sordi-ai/skill-everything

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 review-deployment

README.md
[![agentmods](https://agentmods.dev/badge/skills/sordi-ai/skill-everything/review-deployment/github.svg)](https://agentmods.dev/skills/sordi-ai/skill-everything/review-deployment)
Your own site
<a href="https://agentmods.dev/skills/sordi-ai/skill-everything/review-deployment"><img src="https://agentmods.dev/badge/skills/sordi-ai/skill-everything/review-deployment/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 review-deployment

Your own site · 80×15
<a href="https://agentmods.dev/skills/sordi-ai/skill-everything/review-deployment"><img src="https://agentmods.dev/badge/skills/sordi-ai/skill-everything/review-deployment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 663 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 $0.00029 $0.00663
Opus 5 $0.00015 $0.00331
Sonnet 5 $0.00006 $0.00133
Haiku 4.5 $0.00003 $0.00066

Measured 10d ago against content hash e6a66d2c16b5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

review-deployment 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 10d 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/review-deployment/SKILL.md · 86 lines

How it starts

The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Sub-Skill: Review & Deployment Process

Purpose: Prevents deployment accidents and ensures reviews are more than rubber-stamping. Concrete checklists the agent runs through before every PR and deployment.


PR Review Checklist (Agent runs this before opening a PR)

Correctness

  • All new functions have tests
  • Existing tests pass (npm test / pytest / etc.)
  • Edge cases covered: null/undefined, empty arrays, negative numbers
  • No TODO comments without a linked ticket

Security

  • No secrets or API keys in code (not even in comments)
  • User input is validated before flowing into DB queries or shell commands
  • New endpoints have authentication/authorization
  • No eval(), exec(), or dynamic SQL strings without prepared statements

Performance

  • No N+1 queries (database queries in loops)
  • Large datasets are paginated, not loaded entirely
  • New indexes for new WHERE clauses in queries

Maintainability

  • Complex logic is commented (the why, not the what)
  • No duplicated code blocks (DRY)
  • Dependencies updated in package.json / requirements.txt

Deployment Checklist

Before Deployment

  1. Check migrations: Are all DB migrations backward-compatible? (No DROP COLUMN without prior deprecation cycle)
  2. Feature flags: New features behind a feature flag? Especially for large changes.
  3. Rollback plan: How to roll back if something goes wrong? Documented?
  4. Monitoring: Are alerts set up for new critical paths?

Deployment Order (for microservices)

  1. First: Database migrations (additive changes)
  2. Then: Backend services (new version)
  3. Last: Frontend (new version)
  4. Never: Frontend before backend when there are API changes

After Deployment

  • Health check endpoint responds with 200
  • Error rate in monitoring not elevated (observe for 5 minutes)
  • Critical user flows manually tested (login, main feature, checkout)

Read the full file on GitHub · 86 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. 10d ago First seen · 86 lines · 29 tokens per session scan A e6a66d2c16b5

Subscribe to this mod's changes

review-deployment is a skill published in the GitHub repository sordi-ai/skill-everything (20 stars, last pushed 3mo ago), licensed MIT. It adds 29 tokens to every session and 663 once invoked, about $0.0001 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 2026-08-30.

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