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.
npx skills add treasure-data/td-skills --skill rt-setup-triggersgit clone --depth 1 https://github.com/treasure-data/td-skillsWrote 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/skills/treasure-data/td-skills/rt-setup-triggers)<a href="https://agentmods.dev/skills/treasure-data/td-skills/rt-setup-triggers"><img src="https://agentmods.dev/badge/skills/treasure-data/td-skills/rt-setup-triggers/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/skills/treasure-data/td-skills/rt-setup-triggers"><img src="https://agentmods.dev/badge/skills/treasure-data/td-skills/rt-setup-triggers.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 | $0.00075 | $0.02063 |
| Opus 5.5 | $0.00030 | $0.00825 |
| Sonnet 5.5 | $0.00015 | $0.00413 |
| Haiku 4.5 | $0.00007 | $0.00206 |
Grade A, and why
rt-setup-triggers scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
FOLDER_ID=$(curl -s "https://api-cdp.treasuredata.com/tree/audiences/<ps_id>/segment_folders?page%5Bsize%5D=100" \ How it starts
The opening of the file, as written. The whole thing — 249 lines — stays where its author put it; the contents beside it link to each section on GitHub.
RT 2.0 Triggers Setup - Complete Workflow
Orchestrates the complete RT triggers/journey setup: parent segment validation → use case discovery → data exploration → RT config → journey creation → activation deployment.
Prerequisites
- TD CLI installed:
tdx - Authenticated:
tdx auth setup - Parent segment created in Data Workbench
- Master API key with full permissions:
export TD_API_KEY=your_key - Webhook endpoint or integration configured (optional)
Workflow Overview
Complete workflow with checkpoints at each step.
Step 1-7: RT Infrastructure Configuration ✓ (SHARED with rt-setup-personalization)
Step 8: Create RT Journey ✓
Step 9: Create Activation ✓
Step 10: Configure Journey Stage & Entry Criteria ✓
Step 11: Wait for RT Infrastructure Ready ✓
Step 12: Launch Journey ✓
Step 13: Verify & Test ✓
Steps 1-7: RT Infrastructure Configuration
SHARED STEPS - See steps/01-07-shared-rt-config.md which references:
- rt-setup-personalization/steps/01-02-validate-discovery.md
- rt-setup-personalization/steps/03-06-data-exploration.md
- rt-setup-personalization/steps/07-rt-config.md
Quick Summary
Step 1: Validate parent segment RT status
tdx ps rt list --json | jq '.[] | select(.id=="<ps_id>") | {id, name, rt_status: .status}'
Step 2: Use case discovery (Welcome Journey, Cart Abandonment, High-Value Purchase, etc.)
Steps 3-6: Data exploration (batch attributes, event tables, ID stitching, RT attributes)
Step 7: Configure RT infrastructure
# Configure event tables, key events, RT attributes, ID stitching
# Wait for RT status "ok"
while [ "$(tdx ps rt list --json | jq -r --arg ps '<ps_id>' '.[] | select(.id==$ps) | .status')" != "ok" ]; do
sleep 10
done
Checkpoints:
- ✓ Parent segment validated
- ✓ Use case selected (journey trigger)
- ✓ Event tables configured
- ✓ RT attributes created
- ✓ ID stitching configured
- ✓ RT status is "ok"
What ships with it
5 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.
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 · 249 lines · 75 tokens per session scan A a4ce4a10d663
rt-setup-triggers is a skill published in the GitHub repository treasure-data/td-skills (22 stars, last pushed 5d ago), licensed Apache-2.0. It adds 75 tokens to every session and 2,063 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
rt-setup-triggers compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| rt-setup-triggerstreasure-data/td-skills | Skill | 22 | 5d ago | Apache-2.0 | A | 75 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 3d ago | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | today | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 315k | 6d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |