Borrowing it
Nothing to install: this file belongs to PADAS/er-server. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/PADAS/er-server/develop/AGENTS.mdgit clone --depth 1 https://github.com/PADAS/er-serverWrote 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/padas/er-server/agents-md)<a href="https://agentmods.dev/instructions/padas/er-server/agents-md"><img src="https://agentmods.dev/badge/instructions/padas/er-server/agents-md/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.
<a href="https://agentmods.dev/instructions/padas/er-server/agents-md"><img src="https://agentmods.dev/badge/instructions/padas/er-server/agents-md.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00992 | $0.00992 |
| Opus 5.5 | $0.00397 | $0.00397 |
| Sonnet 5.5 | $0.00198 | $0.00198 |
| Haiku 4.5 | $0.00099 | $0.00099 |
Grade A, and why
er-server 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 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.
How it starts
The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
description: globs: alwaysApply: true
Project Overview
EarthRanger (DAS - Domain Awareness System) is a Django-based web application for wildlife conservation and domain awareness. This is a multi-tenant system that tracks wildlife, manages events, handles patrols, and provides real-time monitoring capabilities.
Architecture Overview
Django Apps Structure
accounts/- User management, permissions, and authenticationactivity/- Events, patrols, and alerting systemobservations/- Animal tracking, GPS data, and subject managementmapping/- GIS integration, spatial data, and map servicessensors/- IoT device handlers and data ingestionanalyzers/- Real-time analysis (geofencing, proximity, immobility detection)tracking/- Source plugins for various GPS/telemetry providersreports/- Report generation and data distributionutils/- Shared utilities and common functionality
Key Technologies
- Django 3.2
- Django REST Framework (for API development)
- python 3.10
- pytest for unittesting
- Celery (for background tasks)
- Redis (for caching and task queues)
- PostgreSQL 16
- Docker and Kubernetes for deployment
Multi-Tenant Architecture
This system is multi-tenant aware. Most models have a das_tenant field that isolates data between tenants.
Key considerations:
- Data isolation at the database level
- Tenant context in requests and background tasks
- Tenant-specific configurations and permissions
- Cross-tenant queries require special authorization
Configuration
Settings Structure
das_server/settings.py- Base settingsdas_server/local_settings_docker.py- Local development and prod overrides- Environment variables configured via
.envfile for local overrides
Key Environment Variables
DJANGO_SETTINGS_MODULE- Points to settings module- Database configuration via django-environ
DEBUGandDEVflags for development mode
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 · 100 lines · 992 tokens per session scan A 17bf8bb120d6
er-server AGENTS.md is an instructions file published in the GitHub repository PADAS/er-server (13 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 992 tokens to every session, about $0.0040 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.
er-server AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| er-server AGENTS.mdPADAS/er-server | Instructions file | 13 | 3mo ago | Apache-2.0 | A | 992 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| vscode ai-customization.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 1,907 | GitHub Copilot |