What is aegis-gateway?

An integration pattern that routes external side effects through the AegisAI gateway. Side effects are actions outside the program, such as sending messages, publishing content, deploying, or pushing code.

Use it when adding Slack, Telegram, or WhatsApp notifications, publishing to social platforms, deploying, or pushing to protected branches.

It adds a central place for policy checks and human approval before actions that cannot easily be undone.

How vpeetla-ai/react-agent-pattern configures Cursor

Reuse

Borrowing it

Nothing to install: this file belongs to vpeetla-ai/react-agent-pattern. 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/vpeetla-ai/react-agent-pattern/main/.cursor/skills/aegis-gateway/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/vpeetla-ai/react-agent-pattern

Made for: Cursor.

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/vpeetla-ai/react-agent-pattern/aegis-gateway/github.svg)](https://agentmods.dev/skills/vpeetla-ai/react-agent-pattern/aegis-gateway)

Your own site

<a href="https://agentmods.dev/skills/vpeetla-ai/react-agent-pattern/aegis-gateway"><img src="https://agentmods.dev/badge/skills/vpeetla-ai/react-agent-pattern/aegis-gateway/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/vpeetla-ai/react-agent-pattern/aegis-gateway"><img src="https://agentmods.dev/badge/skills/vpeetla-ai/react-agent-pattern/aegis-gateway.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 311 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 100% copy Near-identical to another mod 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	$0.00058	$0.00311
Opus 5.5	$0.00023	$0.00124
Sonnet 5.5	$0.00012	$0.00062
Haiku 4.5	$0.00006	$0.00031

Measured 2mo ago against content hash 6f80d303827b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

aegis-gateway 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.

Origin

This is a copy

100% identical to aegis-gateway — 0 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.

.cursor/skills/aegis-gateway/SKILL.md · 53 lines

What it actually says

AegisAI Gateway Integration

When required

Any side effect leaving the system:

Publish to LinkedIn/X/Substack
Send Slack/Telegram/WhatsApp messages
Deploy or git push to protected branches (prefer PR workflow)

Pattern

# integrations/aegis_gateway.py (existing in VAP, AegisLoop, Content Factory)
result = await gateway.request_tool(
    tool_name="notify_slack",
    payload={...},
    agent_id="...",
    run_id="...",
)
if result.requires_hitl:
    # pause until approval

Env vars

AEGISAI_API_BASE_URL=https://...
AEGISAI_API_KEY=...

Dev mode

If gateway URL unset → fail open with logged warning (local dev only)
Never fail open in production configs

Do not

Embed policy logic in orchestrator prompts — policy lives in AegisAI/OPA
Bypass gateway "temporarily" in production code paths

Reference

aegisai-enterprise-agent-platform — gateway SDK + POST /api/gateway/tool-request

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 · 53 lines · 58 tokens per session scan A 6f80d303827b

Subscribe to this mod's changes

aegis-gateway is a skill published in the GitHub repository vpeetla-ai/react-agent-pattern (2 stars, last pushed 2mo ago), licensed MIT. It adds 58 tokens to every session and 311 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to aegis-gateway, differing in 0 lines, and is treated as a copy.

DevOps and cloud Productivity Python Writing and docs ai-agents langgraph react-agent tutorial

aegis-gateway next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
aegis-gatewayvpeetla-ai/react-agent-pattern	Skill	2	2mo ago	MIT	A	58	Cursor
browser-usebrowser-use/browser-use	Skill	120k	yesterday	MIT	A	57	Claude Code, Codex
data-visualizationlangchain-ai/deepagents	Skill	31k	yesterday	MIT	A	40	Claude Code, Codex
content-hash-cache-patternaffaan-m/ECC	Skill	298k	4d ago	MIT	A	30	Claude Code, Kiro
cuml-machine-learninglangchain-ai/deepagents	Skill	31k	yesterday	MIT	A	43	Claude Code, Codex
rememberlangchain-ai/deepagents	Skill	31k	yesterday	MIT	A	71	Claude Code, Codex
deepagents-thread-inspectorlangchain-ai/deepagents	Skill	31k	yesterday	MIT	A	93	Claude Code, Codex

react-agent-pattern: Skill for Cursor