cas

cas is a skill for Claude Code from treasure-data/td-skills. It costs 211 tokens per session (6,179 once invoked), scanned A, original, no licence file.

A tool for managing Composable Audience Studio audiences in Treasure Data. These audiences query customer data directly in warehouses such as Snowflake, Databricks, or BigQuery instead of copying it into Treasure Data.

In plain words
What is it for?
Use it to define audience attributes, behaviours, and segment rules in YAML, then manage those audiences with command-line commands.
Why use it?
It lets teams define audiences across existing warehouse data without creating another full data copy.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the tdx-skills plugin — 15 skills shipped together

Good fit Use it to define audience attributes, behaviours, and segment rules in YAML, then manage those audiences with command-line commands.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/treasure-data/td-skills/cas
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.

Any agent
npx skills add treasure-data/td-skills --skill cas
Clone the repo
git clone --depth 1 https://github.com/treasure-data/td-skills

Made for: Claude Code.

Or install tdx-skills, the plugin that ships this one along with the rest of its 15 skills.

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 cas

README.md
[![agentmods](https://agentmods.dev/badge/skills/treasure-data/td-skills/cas/github.svg)](https://agentmods.dev/skills/treasure-data/td-skills/cas)
Your own site
<a href="https://agentmods.dev/skills/treasure-data/td-skills/cas"><img src="https://agentmods.dev/badge/skills/treasure-data/td-skills/cas/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.

agentmods 80×15 button for cas

Your own site · 80×15
<a href="https://agentmods.dev/skills/treasure-data/td-skills/cas"><img src="https://agentmods.dev/badge/skills/treasure-data/td-skills/cas.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 211 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,179 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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 $0.00211 $0.06179
Opus 5.5 $0.00084 $0.02472
Sonnet 5.5 $0.00042 $0.01236
Haiku 4.5 $0.00021 $0.00618

Measured 3d ago against content hash fdaba73afff2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

cas 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 3d 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.

tdx-skills/cas/SKILL.md · 281 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 3d ago Changed · +84 lines · +47 tokens per session fdaba73afff2
  2. 1mo ago First seen · 197 lines · 164 tokens per session scan A a8af2637cc26

Subscribe to this mod's changes

cas is a skill published in the GitHub repository treasure-data/td-skills (21 stars, last pushed 3d ago), with no licence file. It adds 211 tokens to every session and 6,179 once invoked, about $0.0008 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 2026-09-03.

Related

Other skills, from other repositories

agent-platform-model-registry

Agent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.

google/skills · 60 tokens

foundry-config-setup

Resolve missing setup caused by a hardcoded Foundry project endpoint or model in a sample. Use when a sample fails because it uses a placeholder/hardcoded projectendpoint (for example "https://your-project.services.ai.azure.com") or a hardcoded model instead of reading them from the environment.

microsoft/agent-framework · 65 tokens

google-cloud-solution-agentic-analytics-spark-knowledge-catalog

Discovers requirements and designs an end-to-end governed agentic analytics solution using Knowledge Catalog and Managed Service for Apache Spark (Lightning Engine). Use when designing data science and analytics workflows across structured and unstructured distributed data (including in S3, Azure Blob, AlloyDB, and…

google/skills · 132 tokens

training-check

Interactively monitor training metrics from the current Codex session, periodically checking WandB or fallback logs for NaN, divergence, plateaus, and broken runs.

wanshuiyin/Auto-claude-code-research-in-sleep · 35 tokens

nemo-automodel-launcher-config

Configure NeMo AutoModel job launches for interactive runs, Slurm clusters, and SkyPilot cloud execution.

NVIDIA/skills · 30 tokens

finetuning

Fine-tune models on Microsoft Foundry using SFT (supervised), DPO (preference), or RFT (reinforcement with graders). Covers dataset preparation, training job submission, deployment, and evaluation. USE FOR: fine-tune, SFT, DPO, RFT, training data, grader, distillation, fine-tuned model, training job, large file…

microsoft/skills · 132 tokens