adapter-crewai

adapter-crewai is a cursor rule for Cursor from synaptic-ai-consulting/AAMAD. It costs 685 tokens per session, scanned A, original, Apache-2.0.

A set of runtime rules for generating a minimum viable application with CrewAI, a framework for coordinating AI agents and tasks.

In plain words
What is it for?
Use it when building CrewAI applications that need YAML agent and task definitions, connected task steps, environment-based secrets, and reproducible execution.
Why use it?
It gives generated projects a consistent structure and records important runtime settings, dependencies, and execution choices.

Cursor rule for Cursor

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.

agentmods
npx agentmods add rules/synaptic-ai-consulting/aamad/adapter-crewai
Clone the repo
git clone --depth 1 https://github.com/synaptic-ai-consulting/AAMAD

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.

agentmods badge for adapter-crewai

README.md
[![agentmods](https://agentmods.dev/badge/rules/synaptic-ai-consulting/aamad/adapter-crewai.svg)](https://agentmods.dev/rules/synaptic-ai-consulting/aamad/adapter-crewai)
Your own site
<a href="https://agentmods.dev/rules/synaptic-ai-consulting/aamad/adapter-crewai"><img src="https://agentmods.dev/badge/rules/synaptic-ai-consulting/aamad/adapter-crewai.svg" alt="Measured on agentmods" height="20"></a>
Per session 685 This file is loaded in full into every session.
When invoked 685 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.00685 $0.00685
Opus 5 $0.00342 $0.00342
Sonnet 5 $0.00137 $0.00137
Haiku 4.5 $0.00068 $0.00068

Measured 4d ago against content hash 42408d72156d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

adapter-crewai 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 4d 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.

.cursor/rules/adapter-crewai.mdc · 64 lines

How it starts

The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CrewAI Adapter Rules

Purpose

  • Define runtime-specific guidance when AAMAD_TARGET_RUNTIME=crewai.
  • This adapter governs how implementation personas scaffold and validate the generated MVP runtime.

Setup

  • Install CrewAI and dependencies in the generated backend environment.
  • Required runtime files should include:
    • config/agents.yaml
    • config/tasks.yaml
    • crew.py (or equivalent runtime entrypoint)
  • Load secrets from environment variables and provide names in .env.example.
  • Record resolved llm, temperature, and max token controls in Audit.

Mapping

  • All CrewAI agent and task definitions MUST be externalized to YAML files under a config/ directory (e.g., config/agents.yaml, config/tasks.yaml).
  • Use explicit task context chaining (Task.context) for deterministic dependency flow.
  • Define expected_output with required headings and target artifact paths.
  • Prefer allow_delegation=false unless the SAD justifies delegated manager patterns.

Execution

  • Prefer sequential process mode for reproducible MVP builds.
  • Use hierarchical process mode only when justified in SAD and documented in Audit.
  • Baseline controls:
    • max_iter <= 12 for MVP tasks unless explicitly justified.
    • max_execution_time tuned per epic.
    • max_retry_limit >= 2.
    • max_rpm set at crew level for budget stability.
  • If using function-calling agents, do not switch mode mid-run; record chosen mode in Audit.
  • Use kickoff_for_each only for truly independent batch items and document deterministic merge keys.

Tools

  • Bind only the minimum required tool set per agent/task.
  • Validate YAML-referenced tools before kickoff to avoid runtime binding errors.
  • Keep tool configs JSON-serializable; load secret parameters via env vars.
  • Permit web/API tools only where explicitly justified by persona scope.

Logging

  • Capture rendered system/user prompts in Prompt Trace before execution.
  • Record lifecycle events (task start/stop, retries, guardrail outcomes) in Trace Log.
  • Keep Prompt Trace and Trace Log in project-context artifacts, not inline with generated code.
  • If using step callbacks/event listeners, redact secrets and persist logs under project-context/2.build/logs.

Read the full file on GitHub · 64 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. 4d ago First seen · 64 lines · 685 tokens per session scan A 42408d72156d

Subscribe to this mod's changes

adapter-crewai is a cursor rule published in the GitHub repository synaptic-ai-consulting/AAMAD (80 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 685 tokens to every session, about $0.0034 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.