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.
curl -O https://raw.githubusercontent.com/DDS-Solutions/AI-TadPole-OS/main/GEMINI.mdgit clone --depth 1 https://github.com/DDS-Solutions/AI-TadPole-OSWrote 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.
[](https://agentmods.dev/instructions/dds-solutions/ai-tadpole-os/gemini-md)<a href="https://agentmods.dev/instructions/dds-solutions/ai-tadpole-os/gemini-md"><img src="https://agentmods.dev/badge/instructions/dds-solutions/ai-tadpole-os/gemini-md.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01003 | $0.01003 |
| Opus 5 | $0.00502 | $0.00502 |
| Sonnet 5 | $0.00201 | $0.00201 |
| Haiku 4.5 | $0.00100 | $0.00100 |
Grade A, and why
AI-TadPole-OS GEMINI.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.
This is a copy
100% identical to AI-TadPole-OS AGENTS.md — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 67 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 / GEMINI
- 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:prune
npm run graph:watch
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:
- Master System Architect: Multi-layer component mapping, Zustand/Portals isolation, and Tauri IPC verification.
- Principal QA: Concurrency hazards analysis (Tokio, Zustand, WebSockets) and OpenTelemetry tracing compliance.
- Chief Security Auditor: Zero Trust architecture auditing, Tauri command validations, and CWRF vulnerabilities indexing.
- Testing Rigor Expert: Formulating happy-path, failure-path, and edge-case testing plans for the most complex executable modules.
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.
- 4d ago First seen · 67 lines · 1,003 tokens per session scan A ba2256de7723
AI-TadPole-OS GEMINI.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 1,003 tokens to every session, about $0.0050 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to AI-TadPole-OS AGENTS.md, differing in 4 lines, and is treated as a copy.
Other instructions, from other repositories
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AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
spec-kit AGENTS.md
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