What is enterprise-rag-agent?

A guide for building knowledge agents that answer questions from large collections of official or regulated documents. RAG means retrieving relevant source text before generating an answer.

Use it to design, provision, or generate an Enterprise RAG Agent Pack for public-sector collections such as court, tax, social-security, healthcare, and utility records.

It helps turn laws, policies, scanned files, procedures, and other records into a structured knowledge service with traceable source material.

enterprise-rag-agent — Skill for Codex by binrogithub

Install

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.

Any agent

npx skills add binrogithub/1-3-Cloud-Adoption-Skills --skill enterprise-rag-agent

Clone the repo

git clone --depth 1 https://github.com/binrogithub/1-3-Cloud-Adoption-Skills

Made for: Codex.

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/skills/binrogithub/1-3-cloud-adoption-skills/enterprise-rag-agent/github.svg)](https://agentmods.dev/skills/binrogithub/1-3-cloud-adoption-skills/enterprise-rag-agent)

Your own site

<a href="https://agentmods.dev/skills/binrogithub/1-3-cloud-adoption-skills/enterprise-rag-agent"><img src="https://agentmods.dev/badge/skills/binrogithub/1-3-cloud-adoption-skills/enterprise-rag-agent/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/skills/binrogithub/1-3-cloud-adoption-skills/enterprise-rag-agent"><img src="https://agentmods.dev/badge/skills/binrogithub/1-3-cloud-adoption-skills/enterprise-rag-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 153 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,064 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin unknown 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	$0.00153	$0.01064
Opus 5	$0.00077	$0.00532
Sonnet 5	$0.00031	$0.00213
Haiku 4.5	$0.00015	$0.00106

Measured 9d ago against content hash 7be9fc3de833, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

enterprise-rag-agent 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 9d ago.

The scan reads SKILL.md. This mod also ships 4 executable files (assets/enterprise-rag-agent-pack/ingestion_pipeline.py, scripts/install_ecs_portal.sh, scripts/provision_huawei_demo.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

AI/AI-Applications/enterprise-rag-agent/SKILL.md · 75 lines

The source is not reproduced here

No licence file

Read it on GitHub

Files

What ships with it

18 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

9d ago First seen · 75 lines · 153 tokens per session scan A 7be9fc3de833

Subscribe to this mod's changes

enterprise-rag-agent is a skill published in the GitHub repository binrogithub/1-3-Cloud-Adoption-Skills (11 stars, last pushed 2d ago), with no licence file. It adds 153 tokens to every session and 1,064 once invoked, about $0.0008 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 2026-08-30.

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