ai-platform-engineering: Instructions file for Codex

AGENTS.md

ai-platform-engineering AGENTS.md is an instructions file for Codex, OpenCode from caipe-io/ai-platform-engineering. It costs 2,073 tokens per session, scanned A, original, Apache-2.0.

A project instruction file for an AI platform engineering repository containing Python services, tool servers, agent runtimes, integrations, schedulers, knowledge bases, and a web interface.

In plain words
What is it for?
It helps locate the canonical code for backend services, tool integrations, autonomous agents, audits, scheduling, search and knowledge systems, deployment files, tests, and the frontend.
Why use it?
It tells agents where the main parts of the system live and to find the existing shared implementation before adding another one. This reduces duplicated code and keeps changes in the correct module.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: reads .claude/ paths; mentions AGENTS.md.

This is caipe-io/ai-platform-engineering's own configuration. It tells Codex and OpenCode how to work on ai-platform-engineering itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ai-platform-engineering configures →

Reuse

Borrowing it

Nothing to install: this file belongs to caipe-io/ai-platform-engineering. 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/caipe-io/ai-platform-engineering/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/caipe-io/ai-platform-engineering

Made for: Codex, OpenCode.

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README.md
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Your own site
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Your own site · 80×15
<a href="https://agentmods.dev/instructions/caipe-io/ai-platform-engineering/agents-md"><img src="https://agentmods.dev/badge/instructions/caipe-io/ai-platform-engineering/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 2,073 This file is loaded in full into every session.
When invoked 2,073 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.02073 $0.02073
Opus 5.5 $0.00829 $0.00829
Sonnet 5.5 $0.00415 $0.00415
Haiku 4.5 $0.00207 $0.00207

Measured yesterday against content hash 411c4cbc8dbb, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ai-platform-engineering 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 yesterday.

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.

AGENTS.md · 149 lines

How it starts

The opening of the file, as written. The whole thing — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Instructions

Project Structure

ai_platform_engineering/   # Python backend
  mcp/                     # Per-tool MCP servers (GitHub, ArgoCD, etc.)
  dynamic_agents/          # Dynamic agents runtime (FastAPI, MongoDB, AG-UI/SSE)
  integrations/            # Slack and Webex bot integrations
  autonomous_agents/       # Scheduled and event-driven autonomous tasks
  audit_service/           # Audit-event service
  scheduler/               # Scheduler service
  cron-runner/             # Cron job runner
  knowledge_bases/rag/     # RAG server, ingestors, graphrag, ontology
  skills_middleware/       # Skill scanning / catalog middleware
  utils/                   # Shared utilities
ui/                        # Next.js frontend
docs/                      # Documentation site (Docusaurus)
docker-compose*.yaml       # Canonical Docker Compose configurations
tests/                     # Repo-level + RBAC tests
scripts/                   # Utility scripts
charts/                    # Helm charts

Find the Canonical Implementation

Start with the narrowest owning module; do not add a parallel implementation until you have checked the shared locations below.

Need Start here Reuse before adding new code
UI page or API route ui/src/app/ ui/src/components/, ui/src/lib/, ui/src/store/
UI component ui/src/components/ ui/src/components/ui/ and ui/src/components/shared/, then an existing component in the same feature area
UI selection control ui/src/components/ui/{select,searchable-picker}.tsx Follow docs/docs/ui/selection-controls.md; reuse a domain picker before adding a base or custom listbox
UI state or browser data ui/src/store/ Existing store and ui/src/lib/ helpers
Application manifest or native UI package ui/app-sdk/agentic-app-manifest.mjs CAIPE App Contract: shared AgenticAppManifest types/validation, ui/src/lib/agentic-apps/ installation adapters, and the native component interface
MCP integration ai_platform_engineering/mcp/<provider>/ ai_platform_engineering/mcp/common/
Slack or Webex behavior ai_platform_engineering/integrations/{slack_bot,webex_bot}/ The BFF/API contract and shared auth utilities
Dynamic/custom-agent runtime ai_platform_engineering/dynamic_agents/ Its src/ modules and tests
RAG/ingestion ai_platform_engineering/knowledge_bases/rag/ common/, server/, or ingestors/ as applicable
Authentication, authorization, or audit helpers ai_platform_engineering/utils/{auth,audit_backends}/, ui/src/lib/authz/, ui/src/lib/rbac/, and ui/src/lib/audit/ Use the existing domain boundary; do not add direct OpenFGA checks outside an approved adapter

Read the full file on GitHub · 149 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.

  1. yesterday Changed · +5 lines · +134 tokens per session 411c4cbc8dbb
  2. 10d ago Changed · +1 lines · +58 tokens per session 0d093c4432ff
  3. 1mo ago Changed · +14 lines · +169 tokens per session 1427cf8f261a
  4. 1mo ago First seen · 129 lines · 1,712 tokens per session scan A ada77470fe98

Subscribe to this mod's changes

ai-platform-engineering AGENTS.md is an instructions file published in the GitHub repository caipe-io/ai-platform-engineering (429 stars, last pushed today), licensed Apache-2.0. It adds 2,073 tokens to every session, about $0.0083 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 2026-08-30.

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