cyvisguard: Instructions file for Codex

AGENTS.md

cyvisguard AGENTS.md is an instructions file for Codex, OpenCode from flankerhqd/cyvisguard. It costs 2,164 tokens per session, scanned C, original, Apache-2.0.

A set of instructions for AI coding agents working in CyVisGuard, an open-source system that checks whether agents’ tool use matches a user’s intent. It explains the project structure, commands, and how tool calls are handled.

In plain words
What is it for?
Use it to orient agents in a TypeScript pnpm monorepo, run tests and builds, start the dashboard, and understand the path of a tool call.
Why use it?
It gives an agent the context it needs before changing the code, reducing confusion about the repository and its security-control logic.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions Claude Code; mentions AGENTS.md.

This is flankerhqd/cyvisguard's own configuration. It tells Codex and OpenCode how to work on cyvisguard 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 cyvisguard configures →

Reuse

Borrowing it

Nothing to install: this file belongs to flankerhqd/cyvisguard. 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/flankerhqd/cyvisguard/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/flankerhqd/cyvisguard

Made for: Codex, OpenCode.

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 cyvisguard AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/flankerhqd/cyvisguard/agents-md.svg)](https://agentmods.dev/instructions/flankerhqd/cyvisguard/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/flankerhqd/cyvisguard/agents-md"><img src="https://agentmods.dev/badge/instructions/flankerhqd/cyvisguard/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 2,164 This file is loaded in full into every session.
When invoked 2,164 The same file — it is already loaded in full.
Security scan C 1 finding. 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 5.1 $0.02164 $0.02164
Opus 5 $0.01082 $0.01082
Sonnet 5 $0.00433 $0.00433
Haiku 4.5 $0.00216 $0.00216

Measured 6d ago against content hash 952cf8ffb42a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade C, and why

cyvisguard AGENTS.md scanned grade C with 1 finding 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 6d 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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

`Cannot find module './###.js'`. Fix: kill it, `rm -rf apps/dashboard/.next`,
AGENTS.md · 162 lines

How it starts

The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Orientation for AI agents working in this repo. Read this before editing. For a visual tour of the architecture, run the dashboard and open /docs.

What this is

CyVisGuard — an open-source, self-contained reference implementation of an enterprise AI-agent security control plane. It sits between agents and the tools they can touch, and on every tool call decides: who is calling, on behalf of whom, and is the behavior still within the user's intent?

It is not demo-ware: the control-plane logic is real and auditable. What's scripted vs. live is labeled honestly (see Honesty).

  • Stack: TypeScript pnpm monorepo, ESM, Node ≥ 20. Vitest for tests, tsx for scripts. Dashboard is Next.js 15 (App Router) + SSE.
  • Zero external runtime deps: no API keys, no DB, no network. Pure in-memory TS. The one optional exception is Ollama for S2 live mode (below).

Commands

pnpm install
pnpm test          # vitest, ~84 tests across the control plane
pnpm typecheck     # tsc --noEmit in every package
pnpm build         # tsc build of all packages
pnpm dev           # dashboard → http://localhost:4300
pnpm dev:headless  # run scenarios in the terminal (apps/headless)

Before you claim a change works, all three gates must be green: pnpm test, pnpm typecheck, and pnpm --filter @cyvisguard/dashboard build (the dashboard is not covered by the package build/typecheck).

Layout

packages/          the control plane (each package = one layer/concern)
apps/dashboard     live SOC dashboard (Next.js + SSE)
apps/headless      terminal scenario runner
package role
@cyvisguard/shared domain types, EventBus/CyEvent, and the 4 integration seams
@cyvisguard/registry asset registration + config-fingerprint admission
@cyvisguard/identity short-lived NHI identity, attestation, RFC-8693-style token exchange with nested act delegation chains, cascade revoke
@cyvisguard/gateway PEP: policy enforcement + data-plane taint tagging + entity extraction
@cyvisguard/policy pure-TS policy evaluator (integrity / task-scope / rate / data-flow / lethal-trifecta / step-up) + scope-extension arbitration
@cyvisguard/intent natural-language task → structured task_context
@cyvisguard/runtime-guard rule-based intent-alignment scoring + circuit breaker
@cyvisguard/soc attack-chain reconstruction from the event stream
@cyvisguard/agent-runtime LLMProvider + Ollama provider + a ReAct loop for live-injection mode
@cyvisguard/scenario-engine scenario runners runMs1/runS2/runS2Live/runS3/runS4

Read the full file on GitHub · 162 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. 6d ago First seen · 162 lines · 2,164 tokens per session scan C 952cf8ffb42a

Subscribe to this mod's changes

cyvisguard AGENTS.md is an instructions file published in the GitHub repository flankerhqd/cyvisguard (56 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 2,164 tokens to every session, about $0.0108 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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