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-instrumentation-planninggit 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-instrumentation-planning)<a href="https://agentmods.dev/skills/rudderlabs/rudder-agent-skills/rudder-instrumentation-planning"><img src="https://agentmods.dev/badge/skills/rudderlabs/rudder-agent-skills/rudder-instrumentation-planning/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-instrumentation-planning"><img src="https://agentmods.dev/badge/skills/rudderlabs/rudder-agent-skills/rudder-instrumentation-planning.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 | $0.00032 | $0.03192 |
| Opus 5 | $0.00016 | $0.01596 |
| Sonnet 5 | $0.00006 | $0.00638 |
| Haiku 4.5 | $0.00003 | $0.00319 |
Grade A, and why
rudder-instrumentation-planning 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 — 487 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Instrumentation Planning
This skill guides you through designing an instrumentation strategy - the systematic approach to deciding what events and properties to track in your application.
Why Planning Matters
Poor instrumentation leads to:
- Data gaps - Can't answer business questions
- Data bloat - Too many events, high costs, noise
- Inconsistency - Same action tracked differently across teams
- Technical debt - Constant schema changes breaking dashboards
Good instrumentation provides:
- Complete funnel visibility - Every step from acquisition to retention
- Consistent naming - Clear conventions everyone follows
- Maintainable schema - Easy to extend, hard to break
- Actionable insights - Data that drives decisions
Choose Your Workflow
Different starting points require different approaches:
| Your Situation | Recommended Skill |
|---|---|
| Building new feature, events not yet defined | rudder-design-first-instrumentation |
| Existing product needs instrumentation | rudder-code-first-instrumentation |
| Restructuring existing tracking | rudder-code-first-instrumentation |
| General planning guidance | Continue with this skill |
Design-First vs Code-First
Design-First: Start from product requirements → define events → define properties → implement code. Best for new features where events are part of product definition.
Code-First: Start from existing code types → derive tracking plan → align with data governance. Best for existing products with domain types already defined.
This skill covers the general planning process. For workflow-specific guidance, see the specialized skills above.
The Planning Process
┌─────────────────────────────────────────────────────────────────────┐
│ INSTRUMENTATION PLANNING │
└─────────────────────────────────────────────────────────────────────┘
│
▼
┌─────────────────┐
│ 1. DISCOVERY │ ← What questions do we need to answer?
└────────┬────────┘
▼
┌─────────────────┐
│ 2. TAXONOMY │ ← What events and properties will answer them?
└────────┬────────┘
▼
┌─────────────────┐
│ 3. BUILD │ ← Create the YAML definitions
└────────┬────────┘
▼
┌─────────────────┐
│ 4. ASSEMBLE │ ← Group into tracking plans
└────────┬────────┘
▼
┌─────────────────┐
│ 5. INTEGRATE │ ← Generate code, implement in apps
└─────────────────┘
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.
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 · 487 lines · 32 tokens per session scan A 9a67f20e90ff
rudder-instrumentation-planning is a skill published in the GitHub repository rudderlabs/rudder-agent-skills (18 stars, last pushed 7d ago), licensed MIT. It adds 32 tokens to every session and 3,192 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.
Other skills, from other repositories
scientific-figure-prompt-compiler
Transform concise scientific or technical descriptions into structured visual specifications and high-quality image-generation prompts. Use for scientific figures, technical diagrams, system architectures, mechanisms, workflows, spatial models, timelines, layered systems, and information-dense visuals. Model-agnostic…
seo-optimizer
Search Engine Optimization specialist for content strategy, technical SEO, keyword research, and ranking improvements. Use when optimizing website content, improving search rankings, conducting keyword analysis, or implementing SEO best practices. Expert in on-page SEO, meta tags, schema markup, and Core Web Vitals.
ai-collab-evaluator
A review of Claude Code session logs against four hiring criteria for working with AI: how you handle, use, and question AI, and how you weigh trade-offs.
learning-companion
A guided learning tool that turns official documents or other sources into lasting study notes through five stages, including explanation, recall, reflection, and next steps.
oss-tour
A guided method for learning an unfamiliar open-source repository in layers, from the whole project to folders and core modules. An open-source repository is a publicly available code project whose source can be inspected.
image-optimizer
An image-processing tool that converts images to WebP, an image format that can reduce file size while preserving visual quality. It handles individual images, groups of images, and whole directories.