saas-cybersecurity AGENTS.md

Repository instructions for maintaining a defensive SaaS security-review skill. They define the project’s purpose, safety limits, file layout, testing expectations, and release checks.

In plain words
What is it for?
Use them when changing, testing, validating, documenting, or preparing a release for the saas-cybersecurity project.
Why use it?
They give coding agents shared rules for handling security evidence safely and consistently, including how to treat possible findings and protect secrets.

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/yankieldbc2/saas-cybersecurity/agents-md
Clone the repo
git clone --depth 1 https://github.com/YankielDBC2/saas-cybersecurity

Made for: Codex, OpenCode.

Per session 335 This file is loaded in full into every session.
When invoked 335 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 $0.00335 $0.00335
Opus 5 $0.00168 $0.00168
Sonnet 5 $0.00067 $0.00067
Haiku 4.5 $0.00034 $0.00034

Measured 2d ago against content hash 56a4fcc6db80, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

saas-cybersecurity 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 2d 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 · 31 lines

What it actually says

Agent working agreement

Purpose

Maintain saas-cybersecurity as a portable, defensive Agent Skill for evidence-based SaaS security review and safe remediation.

Rules

  • Keep SKILL.md concise and route detailed material into references/.
  • Preserve compatibility with Codex and Claude Code's filesystem-based Agent Skill format.
  • Keep runtime scripts dependency-free on Node.js 18 or newer.
  • Treat static matches as triage evidence, not confirmed vulnerabilities, unless the evidence is intrinsically conclusive.
  • Never add real secrets, live targets, private reports, exploit payloads, destructive probes, or instructions for unauthorized access.
  • Update the control catalog, platform compatibility guidance, tests, and documentation together when behavior changes.
  • Run npm test, npm run validate, and the upstream skill validator before release.
  • Do not publish or release without reviewing git diff, git status, and a secret scan.

Repository map

  • SKILL.md: portable skill entrypoint and safety workflow.
  • references/: detailed controls, platform routing, browser/runtime checks, safe hardening, and report format.
  • scripts/audit.mjs: dependency-free static triage and platform detection.
  • scripts/test-audit.mjs: deterministic behavior tests.
  • scripts/validate-repository.mjs: package integrity and documentation validation.
  • agents/openai.yaml: Codex UI metadata.
  • docs/: maintainer-oriented architecture and project context.

Definition of done

Changes are scoped, documented, cross-platform where practical, tested, free of secrets, and do not turn uncertain evidence into false assurance.

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. 2d ago First seen · 31 lines · 335 tokens per session scan A 56a4fcc6db80

Subscribe to this mod's changes

saas-cybersecurity AGENTS.md is an instructions file published in the GitHub repository YankielDBC2/saas-cybersecurity (2 stars, last pushed 5d ago), licensed MIT. It adds 335 tokens to every session, about $0.0017 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.