What is cxas-scrapi AGENTS.md?

Repository instructions for cxas-scrapi, a workspace and software kit for building and managing conversational agents in Google's Customer Engagement Suite.

Use them when setting up the SDK, configuring a project, running the cxas command-line tool, or working with agent lifecycle and simulation skills.

They explain the project layout, setup requirements, virtual-environment commands, and available agent-building workflows.

How GoogleCloudPlatform/cxas-scrapi configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to GoogleCloudPlatform/cxas-scrapi. 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/GoogleCloudPlatform/cxas-scrapi/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/GoogleCloudPlatform/cxas-scrapi

Made for: Codex, OpenCode.

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/instructions/googlecloudplatform/cxas-scrapi/agents-md/github.svg)](https://agentmods.dev/instructions/googlecloudplatform/cxas-scrapi/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/googlecloudplatform/cxas-scrapi/agents-md"><img src="https://agentmods.dev/badge/instructions/googlecloudplatform/cxas-scrapi/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/googlecloudplatform/cxas-scrapi/agents-md"><img src="https://agentmods.dev/badge/instructions/googlecloudplatform/cxas-scrapi/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 1,069 This file is loaded in full into every session.

When invoked 1,069 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.

Model	Per session	Once invoked
Fable 5.1	$0.01069	$0.01069
Opus 5.5	$0.00428	$0.00428
Sonnet 5.5	$0.00214	$0.00214
Haiku 4.5	$0.00107	$0.00107

Measured 1mo ago against content hash 1200b54f63e0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

cxas-scrapi 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 1mo 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.

AGENTS.md · 52 lines

How it starts

The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.

cxas-scrapi

This repository is a workspace and SDK for building and managing GECX (Google Customer Engagement Suite) conversational agents.

Repository Structure

cxas-scrapi/                    # SDK source code
.agents/skills/                 # Collection of reusable agent skills
├── cxas-agent-foundry/         # Composite skill for end-to-end agent lifecycle
├── cxas-sim-eval/              # Skill for converting evals
└── ...
<project_name>/                 # (Optional) App-specific agent workspaces managed by skills (e.g., cymbal/)
.venv/                          # Shared virtual environment
AGENTS.md                       # Workspace overview (this file)
.active-project                 # (Optional) Points to the currently active project folder

Setup

Run the setup script to create a virtual environment and install the cxas-scrapi SDK from the local source:

.agents/skills/cxas-agent-foundry/scripts/setup.sh          # Full setup (install + configure)
.agents/skills/cxas-agent-foundry/scripts/setup.sh --configure  # Reconfigure only

Requires Python 3.10+ and astral-uv.

Always execute cxas commands using uv run cxas instead of using .venv/.

Available Skills

This workspace provides several specialized AI skills to assist with development.

cxas-agent-foundry: The primary skill for the end-to-end GECX agent lifecycle. Use this for building agents from PRDs, generating and running evals, debugging failures, and syncing code.
cxas-autolabel-rules: Author, validate, and manage Contact Center AI (CCAI) Insights Autolabeling Rules declaratively via YAML and CEL.
cxas-composite-voice-agent-optimizer: Audits, optimizes, and remediates CXAS agent configurations for Gemini Composite V1 voice naturalness, persona styling, and multi-language coverage.
cxas-configurable-dashboards: Author, validate, and manage CCAI Insights Configurable Dashboards declaratively via YAML, Vega-Lite specs, and SQL metrics queries.
cxas-sim-eval: A utility skill for converting CXAS golden evaluations to SCRAPI SimulationEvals test cases.

Read the full file on GitHub · 52 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.

1mo ago Changed · +1 lines · +46 tokens per session 1200b54f63e0
1mo ago Changed · +1 lines · +103 tokens per session 11fbea74d446
1mo ago Changed · +1 lines · +115 tokens per session 3470a5e6aa09
1mo ago First seen · 49 lines · 805 tokens per session scan A ec5a463bc489

Subscribe to this mod's changes

cxas-scrapi AGENTS.md is an instructions file published in the GitHub repository GoogleCloudPlatform/cxas-scrapi (110 stars, last pushed 2d ago), licensed Apache-2.0. It adds 1,069 tokens to every session, about $0.0043 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.

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).

microsoft/vscode · 9,649 tokens

cxas-scrapi: Instructions file for Codex

Borrowing it

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

How it starts

cxas-scrapi

Repository Structure

Setup

Available Skills

What this file has done since we first saw it

Other instructions, from other repositories

vscode buildNext.instructions.md

next.js AGENTS.md

vscode oss-third-party-notices.instructions.md

langchain AGENTS.md

vscode copilot-instructions.md

deno copilot-instructions.md