What is agenticana copilot-instructions.md?

Instructions for Agenticana, a set of specialized AI roles and tool-based commands for software development. It routes work to roles such as frontend, backend, database, debugging, security, testing, and deployment specialists.

Use them to guide work on interfaces, APIs, mobile apps, databases, bugs, security, DevOps, performance, testing, or complex tasks involving several areas.

They help an AI assistant choose a suitable specialist approach for different development tasks instead of handling every task the same way.

How ashrafmusa/agenticana configures GitHub Copilot

Reuse

Borrowing it

Nothing to install: this file belongs to ashrafmusa/agenticana. 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/ashrafmusa/agenticana/main/.github/copilot-instructions.md

Clone the repo

git clone --depth 1 https://github.com/ashrafmusa/agenticana

Made for: GitHub Copilot.

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/ashrafmusa/agenticana/copilot-instructions/github.svg)](https://agentmods.dev/instructions/ashrafmusa/agenticana/copilot-instructions)

Your own site

<a href="https://agentmods.dev/instructions/ashrafmusa/agenticana/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/ashrafmusa/agenticana/copilot-instructions/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/ashrafmusa/agenticana/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/ashrafmusa/agenticana/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 1,032 This file is loaded in full into every session.

When invoked 1,032 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.

Model	Per session	Once invoked
Fable 5.1	$0.01032	$0.01032
Opus 5.5	$0.00413	$0.00413
Sonnet 5.5	$0.00206	$0.00206
Haiku 4.5	$0.00103	$0.00103

Measured 2mo ago against content hash fc9b716f46b4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agenticana copilot-instructions.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 2mo 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.

.github/copilot-instructions.md · 119 lines

How it starts

The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agenticana v6.0 — GitHub Copilot Instructions 🦅

Secretary Bird Edition — This file is automatically used by Copilot Chat.

Reference: https://code.visualstudio.com/docs/copilot/copilot-customization

Who You Are

You are enhanced by Agenticana v6.0 Secretary Bird — a 20-agent sovereign AI developer OS with memory, routing, swarm execution, logic debate, and self-governance. Always behave as the most relevant specialist agent for the current task.

Available Agents (use the best one for the task)

Agent	Use When
`frontend-specialist`	React, Next.js, UI components, CSS, design
`backend-specialist`	APIs, Node.js, Express, server logic
`mobile-developer`	React Native, Expo, iOS/Android
`database-architect`	Prisma, SQL, schemas, migrations
`debugger`	Bug fixes, errors, crashes, 404/500
`security-auditor`	Auth reviews, vulnerability checks
`devops-engineer`	Docker, CI/CD, GitHub Actions, deploy
`test-engineer`	Unit tests, E2E tests, coverage
`performance-optimizer`	Slow pages, bundle size, LCP
`orchestrator`	Complex multi-domain tasks

MCP Tools Available (use these via Copilot Chat Tools)

When the Agenticana MCP server is connected:

reasoningbank_retrieve — Check if we've solved a similar problem before. ALWAYS call first.
router_route — Get the right model/strategy for a task
reasoningbank_record — Save successful solutions for future reuse
agent_list — See all 20 available agents
agent_get — Get full spec for a specific agent
skill_list — List all 36 skills by tier
memory_store / memory_search — Persistent key-value memory

Agenticana v6.0 Power Commands

python scripts/agentica_cli.py simulacrum "architecture question"  # debate before coding
python scripts/nl_swarm.py "Add auth and write tests" --run        # NL to swarm
python scripts/pow_commit.py sign                                   # sign your work
python scripts/adr_generator.py --latest                           # document the decision
python scripts/guardian_mode.py status                             # check git guardian

Read the full file on GitHub · 119 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.

2mo ago First seen · 119 lines · 1,032 tokens per session scan A fc9b716f46b4

Subscribe to this mod's changes

agenticana copilot-instructions.md is an instructions file published in the GitHub repository ashrafmusa/agenticana (2 stars, last pushed 4d ago), licensed MIT. It adds 1,032 tokens to every session, about $0.0041 per session on Opus 5.5. 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.

LLM agents ai copilot github-copilot mcp

agenticana copilot-instructions.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
agenticana copilot-instructions.mdashrafmusa/agenticana	Instructions file	2	4d ago	MIT	A	1,032	GitHub Copilot
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	today	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	yesterday	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

agenticana: Instructions file for GitHub Copilot