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.
npx agentmods add instructions/fmarzochi/egc/agents-mdgit clone --depth 1 https://github.com/Fmarzochi/EGCWrote 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/fmarzochi/egc/agents-md)<a href="https://agentmods.dev/instructions/fmarzochi/egc/agents-md"><img src="https://agentmods.dev/badge/instructions/fmarzochi/egc/agents-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 | $0.00569 | $0.00569 |
| Opus 5 | $0.00284 | $0.00284 |
| Sonnet 5 | $0.00114 | $0.00114 |
| Haiku 4.5 | $0.00057 | $0.00057 |
Grade A, and why
EGC 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 today.
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.
How it starts
The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
EGC: Agent Catalog
Extended Global Context (EGC) is a production-grade, multi-agent system providing 61 specialized agents, 230+ skills, 77 commands to any compatible AI coding environment.
Quick Start
Install once and get access to the full catalog:
node scripts/install-apply.js --target egc
Project Structure
agents/ : 61 specialized subagents
skills/ : 230+ workflow skills and domain knowledge
commands/ : 77 slash commands
Agents
Each agent in agents/ is a Markdown file with YAML frontmatter declaring its name, description, model, and tools. Agents are loaded automatically by the EGC runtime and made available to the orchestrator.
Available Agents
| Agent | Description |
|---|---|
| a11y-architect | Accessibility Architect specializing in WCAG 2.2 compliance |
| architect | System design and architecture guidance |
| build-error-resolver | Diagnoses and resolves build and compilation errors |
| chief-of-staff | High-level project coordination and planning |
| code-architect | Code structure and design patterns |
| code-explorer | Codebase navigation and understanding |
| code-reviewer | Comprehensive code review and feedback |
| code-simplifier | Refactoring and simplification guidance |
| comment-analyzer | Code comment quality and documentation analysis |
And many more: see agents/*.md for the full list.
Runtime
The EGC runtime routes tasks to the appropriate agent using the execution orchestrator, session manager, and tracer. Agents communicate via the LLM dispatcher, which supports Gemini, Claude, OpenAI, OpenRouter, and Ollama providers.
MCP Servers
egc-guardian:validate_command,validate_write,reduce_context,orchestrate_taskegc-memory:get_state,update_state,store_decision,query_history,search_history
Run sh install.sh to build the servers. Run egc doctor to verify they are registered and running.
EGC Guardian Protocol — MANDATORY
These calls are automatic and non-negotiable. Never wait for the user to ask.
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.
- today First seen · 66 lines · 569 tokens per session scan A a088f4fecf1b
EGC AGENTS.md is an instructions file published in the GitHub repository Fmarzochi/EGC (48 stars, last pushed today), licensed Apache-2.0. It adds 569 tokens to every session, about $0.0028 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.
Other instructions, from other repositories
ruler AGENTS.md
AGENTS.md instructions for intellectronica/ruler, covering ruler, development process, testing, code formatting and branches and pull requests.
agentforge CLAUDE.md
Instructions for mrzroot/agentforge, covering claude.md - project directives for claude code, project overview: agentforge, commands & environment, code architecture & philosophy and architectural conventions.
agentforge copilot-instructions.md
Instructions for mrzroot/agentforge, covering github copilot custom instructions, project: agentforge, coding guidelines, security & architecture and testing instructions.
Demand-Discovery-Skill AGENTS.md
AGENTS.md instructions for Ddhjx-code/Demand-Discovery-Skill, covering demand discovery skill, how to run, data sources (7 mcp servers), install and run any mcp server as a cli tool and output.
Demand-Discovery-Skill GEMINI.md
Gemini CLI instructions for Ddhjx-code/Demand-Discovery-Skill, covering demand discovery skill, how to run, data sources and output.
Demand-Discovery-Skill copilot-instructions.md
Copilot instructions for Ddhjx-code/Demand-Discovery-Skill, covering demand discovery skill, when the user asks for demand discovery research, data sources (7) and output format.