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 rudderlabs/rudder-agent-skills --skill rudder-data-graphsgit clone --depth 1 https://github.com/rudderlabs/rudder-agent-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/rudderlabs/rudder-agent-skills/rudder-data-graphs)<a href="https://agentmods.dev/skills/rudderlabs/rudder-agent-skills/rudder-data-graphs"><img src="https://agentmods.dev/badge/skills/rudderlabs/rudder-agent-skills/rudder-data-graphs/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/rudderlabs/rudder-agent-skills/rudder-data-graphs"><img src="https://agentmods.dev/badge/skills/rudderlabs/rudder-agent-skills/rudder-data-graphs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00040 | $0.04516 |
| Opus 5 | $0.00020 | $0.02258 |
| Sonnet 5 | $0.00008 | $0.00903 |
| Haiku 4.5 | $0.00004 | $0.00452 |
Grade A, and why
rudder-data-graphs 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 12d 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 — 289 lines — stays where its author put it; the contents beside it link to each section on GitHub.
RETL Connection Analysis & Data Graph Design
What this skill produces
Given a customer name (or workspace / org identifier), this skill produces five deliverables, in order:
- Source Inventory — every relevant RETL source categorized as entity / event / audience / supporting-only.
- Untapped Segment List — realistic, filterable business dimensions the customer has not yet expressed as audiences.
- Data Graph YAML — one per workspace / domain, ready for validation in
rudder-clior the visual builder. - Demo Warehouse Spec — tables, key columns, joins, and known / inferred schema details needed to mock the graph.
- Action Items — priority-ordered next steps, including the upgrade narrative and any assumptions to confirm.
The end-to-end flow is: find workspaces → list RETL sources → shortlist relevant sources → fetch full configs for the shortlist → categorize → design graph → validate → hand off. Each step below says what to do and why, so you can adapt when the customer doesn't match the common shapes.
Step 1 — Find the customer's workspaces
admin_search_organizations(company_name=...)to get theorg_id.admin_search_workspaces(search_by=organizationId)using that id.- Keep only
status=ACTIVEworkspaces. Why: inactive workspaces often have stale or disconnected configs and will produce misleading source lists. - Note the likely warehouse-backed workspaces, but do not assume you already have the correct
accountIdat this stage. Why: the Data Graph YAML embedsaccount_id, and that value is the warehouse account the graph runs against. The most authoritative source for it isrudder-cli workspace accounts list --json(see Step 4a); a RETL source config is a convenient secondary hint when one already exists, but it is not a prerequisite.
Step 2 — Discover sources, anchored on audiences
Run list_sources(workspace_id=..., retl_type=all, includeConfig=false) per workspace. Why includeConfig=false: full configs blow the context budget on large workspaces; start broad, then fetch detail only for sources you actually need.
What ships with it
3 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.
- 12d ago First seen · 289 lines · 40 tokens per session scan A 957de8a2c5ff
rudder-data-graphs is a skill published in the GitHub repository rudderlabs/rudder-agent-skills (18 stars, last pushed 7d ago), licensed MIT. It adds 40 tokens to every session and 4,516 once invoked, about $0.0002 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.
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