ru-normalizr: Skill for Claude Code

.claude/skills/production-readiness/SKILL.md

production-readiness is a skill for Claude Code from NickZaitsev/ru-normalizr. It costs 29 tokens per session (4,711 once invoked), scanned A, original, MIT.

A checklist-based review of whether a project is ready to run in production, the live environment used by real users.

In plain words
What is it for?
It checks public URLs, redirects, cookies, TLS-related settings, Docker and web-server files, deployment scripts, and other release configuration, reporting blockers, risks, and items that are okay.
Why use it?
It finds deployment problems that may appear only behind HTTPS, domain proxies, reverse proxies, or production configuration, before release.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

This is NickZaitsev/ru-normalizr's own configuration. It tells Claude Code how to work on ru-normalizr itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ru-normalizr configures →

Reuse

Borrowing it

Nothing to install: this file belongs to NickZaitsev/ru-normalizr. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/NickZaitsev/ru-normalizr/main/.claude/skills/production-readiness/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/NickZaitsev/ru-normalizr

Made for: Claude Code.

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 production-readiness

README.md
[![agentmods](https://agentmods.dev/badge/skills/nickzaitsev/ru-normalizr/production-readiness/github.svg)](https://agentmods.dev/skills/nickzaitsev/ru-normalizr/production-readiness)
Your own site
<a href="https://agentmods.dev/skills/nickzaitsev/ru-normalizr/production-readiness"><img src="https://agentmods.dev/badge/skills/nickzaitsev/ru-normalizr/production-readiness/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 production-readiness

Your own site · 80×15
<a href="https://agentmods.dev/skills/nickzaitsev/ru-normalizr/production-readiness"><img src="https://agentmods.dev/badge/skills/nickzaitsev/ru-normalizr/production-readiness.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 4,711 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 3 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Anti-Refusal · line 82
    Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.
    Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
  • medium MCP Rug Pull · line 104
    Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.
    Fix: Pin the image: image:tag or image@sha256:abc123
  • low Tool Misuse · line 104
    Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).
    Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
How audits are shown
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 $0.04711
Opus 5 $0.00015 $0.02355
Sonnet 5 $0.00006 $0.00942
Haiku 4.5 $0.00003 $0.00471

Measured 12d ago against content hash 6333a91292e7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

production-readiness 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 12d 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.

.claude/skills/production-readiness/SKILL.md · 205 lines

How it starts

The opening of the file, as written. The whole thing — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Review the project against the checklist below. Every item comes from a real production incident: code that worked perfectly in dev broke the moment it ran behind a real domain, TLS terminator, and reverse proxy. The recurring root cause is assuming the dev environment instead of treating the deployed environment as configuration — keep that lens on while reviewing.

Work through each section, inspect the actual files (compose files, Dockerfiles, nginx configs, dependency manifests, deploy scripts), and report findings as: Blocker (will break production), Risk (will break under a plausible condition), OK. Do not fix anything until the user asks — the deliverable of the review is the report.

1. Behind-proxy and public-origin correctness

The app almost never terminates TLS itself. Assume: browser → external TLS terminator → frontend nginx → API.

  • Every absolute URL the app emits must work behind the proxy chain: OAuth/OIDC redirect URIs, post-login and error redirects, links in emails/notifications, Secure cookie flags, HSTS. Localhost defaults are fine for dev only if they are overridden per-request or per-env in production.
  • Never assume X-Forwarded-Proto arrives from upstream — an external TLS terminator may not send it. The public scheme is explicit deployment config (e.g. PUBLIC_SCHEME=https env var injected into the nginx template), not a guess from client headers.
  • OAuth redirect_uri used in the token exchange must be the same one used at login — store it in the auth state, don't re-derive it at callback time.
  • Trust X-Forwarded-* only from declared proxy CIDRs (trusted-proxies setting); otherwise rate limiting and client-IP logic key on the proxy's IP and every client shares one bucket.

2. Runtime dependencies

  • Everything imported at runtime must be a declared runtime dependency — not a dev dependency, not a transitive one that happens to be present locally. A package can work in the local venv and be absent from the production image.
  • Verify by starting the service in a clean production image, not the dev environment.
  • Guard with a manifest test: a test that imports the runtime modules (or asserts the manifest contains known runtime imports) so a missing dependency fails CI, not production.

Read the full file on GitHub · 205 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. 12d ago First seen · 205 lines · 29 tokens per session scan A 6333a91292e7

Subscribe to this mod's changes

production-readiness is a skill published in the GitHub repository NickZaitsev/ru-normalizr (22 stars, last pushed 1mo ago), licensed MIT. It adds 29 tokens to every session and 4,711 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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