Borrowing it
Nothing to install: this file belongs to pdovhomilja/nextcrm-app. 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/pdovhomilja/nextcrm-app/main/AGENTS.mdgit clone --depth 1 https://github.com/pdovhomilja/nextcrm-appWrote 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/pdovhomilja/nextcrm-app/agents-md)<a href="https://agentmods.dev/instructions/pdovhomilja/nextcrm-app/agents-md"><img src="https://agentmods.dev/badge/instructions/pdovhomilja/nextcrm-app/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/pdovhomilja/nextcrm-app/agents-md"><img src="https://agentmods.dev/badge/instructions/pdovhomilja/nextcrm-app/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 | $0.01428 | $0.01428 |
| Opus 5 | $0.00714 | $0.00714 |
| Sonnet 5 | $0.00286 | $0.00286 |
| Haiku 4.5 | $0.00143 | $0.00143 |
Grade A, and why
nextcrm-app 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 9d 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 — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This file is the authoritative guide for AI agents (Claude Code and other LLM agents) working in the nextcrm-app project. It covers context management, available superpowers/skills, current repo status, and available MCP servers.
1. Context-Mode
What it is: The context-mode MCP plugin intercepts large tool outputs and stores them in a local FTS5 SQLite sandbox, returning only a compact reference instead of flooding the context window.
Tool Hierarchy
| Priority | Tool | Use When |
|---|---|---|
| 1 | mcp__plugin_context-mode_context-mode__ctx_batch_execute |
Primary research — runs commands, auto-indexes, searches in one call |
| 2 | mcp__plugin_context-mode_context-mode__ctx_search |
Follow-up questions — pass multiple queries in one call |
| 3 | mcp__plugin_context-mode_context-mode__ctx_execute / ctx_execute_file |
Data processing, API calls, large log analysis |
Forbidden Actions
- Never use
Bashfor commands producing >20 lines of output - Never use
Readfor analysis (usectx_execute_fileinstead;Readis correct only for files you intend toEdit) - Never use
WebFetch— usectx_fetch_and_indexinstead
Trigger Commands
| Command | Action |
|---|---|
/ctx-stats |
Call ctx_stats MCP tool, display output verbatim |
/ctx-doctor |
Call ctx_doctor MCP tool, execute returned shell command, display as checklist |
/ctx-upgrade |
Call ctx_upgrade MCP tool, execute returned shell command, display as checklist |
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 · 120 lines · 1,428 tokens per session scan A 32aba12da2fb
nextcrm-app AGENTS.md is an instructions file published in the GitHub repository pdovhomilja/nextcrm-app (691 stars, last pushed 7d ago), licensed MIT. It adds 1,428 tokens to every session, about $0.0071 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.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.