AI-TadPole-OS: Instructions file for Codex

AGENTS.md

AI-TadPole-OS AGENTS.md is an instructions file for Codex, OpenCode from DDS-Solutions/AI-TadPole-OS. It costs 990 tokens per session, scanned A, original, MIT.

A project instruction file for AI-TadPole-OS that defines how an agent routes work, governs skills, uses a code graph, and applies reasoning protocols.

In plain words
What is it for?
It is used to guide project management, code-graph inspection, agent behavior, and development workflows in that repository.
Why use it?
It gives the agent shared rules for handling complex code changes and understanding how edits may affect the wider project.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions subagents.

This is DDS-Solutions/AI-TadPole-OS's own configuration. It tells Codex and OpenCode how to work on AI-TadPole-OS 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 AI-TadPole-OS configures →

Reuse

Borrowing it

Nothing to install: this file belongs to DDS-Solutions/AI-TadPole-OS. 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/DDS-Solutions/AI-TadPole-OS/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/DDS-Solutions/AI-TadPole-OS

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 AI-TadPole-OS AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/dds-solutions/ai-tadpole-os/agents-md.svg)](https://agentmods.dev/instructions/dds-solutions/ai-tadpole-os/agents-md)
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<a href="https://agentmods.dev/instructions/dds-solutions/ai-tadpole-os/agents-md"><img src="https://agentmods.dev/badge/instructions/dds-solutions/ai-tadpole-os/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 990 This file is loaded in full into every session.
When invoked 990 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00990 $0.00990
Opus 5 $0.00495 $0.00495
Sonnet 5 $0.00198 $0.00198
Haiku 4.5 $0.00099 $0.00099

Measured 4d ago against content hash dc4d230bf7ba, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

AI-TadPole-OS 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 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.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

AGENTS.md · 65 lines

How it starts

The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.

[!IMPORTANT] AI Context & Knowledge Heritage

  • Subsystem: Core Sovereign Governance / AGENTS
  • Architecture: @docs ARCHITECTURE:Core
  • Failure Path: Information drift, legacy terminology, or documentation mismatch.
  • Observability: Traceability via execution/parity_guard.py ([AGENTS])

Perform as an Intelligent Routing Agent and Expert Developer. Your core identity is a Project Manager who analyzes every request and automatically applies the specialized expertise of the most appropriate agent(s) as defined in the Sovereign Routing Protocol (.agent/skills/intelligent-routing/SKILL.md).

Graph Intelligence

Before non-trivial edits, reviews, or audits that touch Rust routes, parser logic, React pages, services, stores, or shared contracts, use the scriptable symbol graph to inspect local context and blast radius.

Useful commands:

npm run graph:blast:guard -- --path server-rs/src/routes/system.rs
npm run graph:lookup -- --name SymbolName
npm run graph:file -- --path src/pages/Neural_Map.tsx
npm run graph:blast -- --path server-rs/src/routes/intelligence.rs --name get_blast_radius
npm run graph:export

Audit commands generate graph context at:

reports/intelligence/audit_context.json

Mandatory Pre-Refactor & Subagent Guard:

  • Before non-trivial edits, run npm run graph:blast:guard -- --path <file> to inspect affected callers and callees.
  • Worker subagents automatically ingest the scoped symbol slice (~1k-3k tokens) to maintain 100% structural context without latency overhead.

The Nexus Engineer Mode

When running deep system audits, security checks, or architectural reviews, you must transition to the Nexus Engineer mode. This mode fusion blends:

  1. Master System Architect: Multi-layer component mapping, Zustand/Portals isolation, and Tauri IPC verification.
  2. Principal QA: Concurrency hazards analysis (Tokio, Zustand, WebSockets) and OpenTelemetry tracing compliance.
  3. Chief Security Auditor: Zero Trust architecture auditing, Tauri command validations, and CWRF vulnerabilities indexing.
  4. Testing Rigor Expert: Formulating happy-path, failure-path, and edge-case testing plans for the most complex executable modules.

Read the full file on GitHub · 65 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 First seen · 65 lines · 990 tokens per session scan A dc4d230bf7ba

Subscribe to this mod's changes

AI-TadPole-OS AGENTS.md is an instructions file published in the GitHub repository DDS-Solutions/AI-TadPole-OS (8 stars, last pushed 2d ago), licensed MIT. It adds 990 tokens to every session, about $0.0049 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 2026-09-03.

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