sdlc-quality AGENTS.md

A set of instructions for checking a project against software development lifecycle practices. The software development lifecycle is the process of planning, building, testing, releasing, securing, and maintaining software.

In plain words
What is it for?
Use it to guide reviews of builds, code quality, tests, continuous integration and delivery, security, documentation, and version control.
Why use it?
It gives an AI coding agent shared rules for assessing project quality and compliance across these development stages.

Instructions file for CodexOpenCode

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 instructions/zircote-plugins/sdlc-quality/agents-md
Clone the repo
git clone --depth 1 https://github.com/zircote-plugins/sdlc-quality

Made for: Codex, OpenCode.

Per session 1,405 This file is loaded in full into every session.
When invoked 1,405 The same file — it is already loaded in full.
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 $0.01405 $0.01405
Opus 5 $0.00702 $0.00702
Sonnet 5 $0.00281 $0.00281
Haiku 4.5 $0.00140 $0.00140

Measured 3d ago against content hash 34bc1372ba9c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

sdlc-quality AGENTS.md 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 3d 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.md · 227 lines

How it starts

The opening of the file, as written. The whole thing — 227 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md - OpenAI Codex Guidelines

This file provides guidelines for OpenAI Codex and other AI agents working with the sdlc plugin.

Project Identity

Plugin Name: sdlc Purpose: Comprehensive Software Development Lifecycle standards and compliance checking Repository: https://github.com/zircote/sdlc-quality License: MIT

Quick Context

┌─────────────────────────────────────────────────────────────┐
│                        sdlc plugin                           │
├─────────────────────────────────────────────────────────────┤
│  Build │ Quality │ Testing │ CI/CD │ Security │ Docs │ VCS │
│   ✓    │    ✓    │    ✓    │   ✓   │    ✓     │  ✓   │  ✓  │
└─────────────────────────────────────────────────────────────┘

This plugin validates projects against SDLC best practices across 11 domains.

Agent Guidelines

1. Understand the Domain Model

The plugin uses RFC 2119 severity levels:

  • MUST (Critical): Mandatory requirements
  • SHOULD (Important): Strong recommendations
  • MAY (Suggestion): Optional enhancements

2. Repository Layout

Path Purpose
skills/ Domain-specific guidance (build, quality, testing, etc.)
agents/ Autonomous agent definitions for Claude Code
commands/ Slash command implementations
.github/actions/sdlc-check/ GitHub Action for compliance checking
.github/workflows/ CI and audit workflows
docs/ Extended documentation and ADRs

3. Code Conventions

Shell Scripts:

#!/usr/bin/env bash
set -euo pipefail

# Use functions for organization
my_function() {
  local arg="$1"
  # Implementation
}

# Export for subshells if needed
export -f my_function

Read the full file on GitHub · 227 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. 3d ago First seen · 227 lines · 1,405 tokens per session scan A 34bc1372ba9c

Subscribe to this mod's changes

sdlc-quality AGENTS.md is an instructions file published in the GitHub repository zircote-plugins/sdlc-quality (10 stars, last pushed 1mo ago), licensed MIT. It adds 1,405 tokens to every session, about $0.0070 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 2026-08-31.