production-operations

production-operations is a skill for Codex from d4rkNinja/arcforge. It costs 74 tokens per session (2,658 once invoked), scanned A, original, MIT.

A set of guidance for operating software in production, meaning the live environment used by real users. It covers observability, reliability, backups, recovery, incidents, and related operational work.

In plain words
What is it for?
Use it when reviewing or changing logs, metrics, tracing, health checks, audit records, backups, disaster recovery, high availability, deployments, or incident procedures.
Why use it?
It helps teams check that systems can be monitored, diagnosed, restored, and run safely instead of relying on untested assumptions.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it when reviewing or changing logs, metrics, tracing, health checks, audit records, backups, disaster recovery, high availability, deployments, or incident procedures.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/d4rkninja/arcforge/production-operations
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 d4rkNinja/arcforge --skill production-operations
Clone the repo
git clone --depth 1 https://github.com/d4rkNinja/arcforge

Made for: 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 production-operations

README.md
[![agentmods](https://agentmods.dev/badge/skills/d4rkninja/arcforge/production-operations.svg)](https://agentmods.dev/skills/d4rkninja/arcforge/production-operations)
Your own site
<a href="https://agentmods.dev/skills/d4rkninja/arcforge/production-operations"><img src="https://agentmods.dev/badge/skills/d4rkninja/arcforge/production-operations.svg" alt="Measured on agentmods" height="20"></a>
Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,658 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 pass 7 Sept 2026
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 $0.00074 $0.02658
Opus 5 $0.00037 $0.01329
Sonnet 5 $0.00015 $0.00532
Haiku 4.5 $0.00007 $0.00266

Measured 4d ago against content hash 373966cc4570, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

production-operations 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 4d 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/production-operations/SKILL.md · 157 lines

How it starts

The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Think Through Production Operations

Overview

Production guidance for running systems. Each reference paper captures what separates operable systems from hopeful ones: logs without correlation IDs, metrics with unbounded cardinality, health checks that pass while the system is down, audit trails that can be edited, and backups that have never been restored.

Core principle: An operational claim is only as real as its evidence. If a journey cannot be observed, an alert has no owner, or a restore has never been rehearsed, the system does not actually have that capability.

Domain Law

NO PRODUCTION-OPERATIONS CHANGE WITHOUT:
1. the minimum required primary paper(s) for the practice selected from the context table;
2. the user journey or failure the signal protects named first;
3. "Existing-codebase checks" run when changing existing telemetry;
4. every applicable MUST mapped to an enforcement point (emitter, alert,
   runbook, drill) and evidence — never silently downgraded.

When to Use

Use this skill when thinking through, reviewing, changing, or verifying:

  • structured logging, log levels, redaction, and retention;
  • metrics, SLI selection, and cardinality limits;
  • distributed tracing, context propagation, and sampling;
  • health checks: liveness vs readiness, dependency depth, synthetic probes;
  • audit logging: actor, action, target, immutable retention;
  • async-system observability: lag, depth, backlog, poison queues;
  • runbooks, escalation paths, and on-call ownership;
  • incident readiness: detection, severity, communication, postmortems;
  • data import pipelines with validation and quarantine;
  • data export with authorization and rate control;
  • backup: scope, isolation, retention, encryption;
  • restore: rehearsal, RPO/RTO evidence, cross-region recovery;
  • high availability topology and failover authority;
  • multi-region systems, residency, and conflict policy.

When Not to Use

  • Deployment ordering and zero-downtime rollout mechanics: use migration-evolution (134, 106 pairs here).
  • Architecture-level SLO/SLA design and review: use system-architecture-harness / architecture-review-gate.
  • Security log redaction policy ownership: security-privacy (066) defines what is sensitive; this skill implements the emitters.
  • Cost modeling: use system-architecture-harness Phase 10.

Read the full file on GitHub · 157 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. 4d ago Changed · +2 lines 373966cc4570
  2. 8d ago First seen · 155 lines · 74 tokens per session scan A 4818659cae76

Subscribe to this mod's changes

production-operations is a skill published in the GitHub repository d4rkNinja/arcforge (16 stars, last pushed 4d ago), licensed MIT. It adds 74 tokens to every session and 2,658 once invoked, about $0.0004 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.