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 krillinai/growth-skills --skill tracking-plangit clone --depth 1 https://github.com/krillinai/growth-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/krillinai/growth-skills/tracking-plan)<a href="https://agentmods.dev/skills/krillinai/growth-skills/tracking-plan"><img src="https://agentmods.dev/badge/skills/krillinai/growth-skills/tracking-plan/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/krillinai/growth-skills/tracking-plan"><img src="https://agentmods.dev/badge/skills/krillinai/growth-skills/tracking-plan.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 | $0.00034 | $0.01769 |
| Opus 5.5 | $0.00014 | $0.00708 |
| Sonnet 5.5 | $0.00007 | $0.00354 |
| Haiku 4.5 | $0.00003 | $0.00177 |
Grade A, and why
tracking-plan 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 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.
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 — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tracking & Data Quality
Integrated Capabilities
This Skill consolidates adjacent workflows behind one trigger. Use the main workflow for core requests. When a request matches a module below, read that module before executing it:
Translate decisions and value states into an implementation-ready instrumentation contract. Track the smallest set of observable facts that can support the declared metric, funnel, cohort, experiment, attribution, lifecycle, or operational decision. Do not treat a tracking plan as a list of clicks or assume an SDK event is true because it fires.
Read tracking-contract.md before defining events, properties, identity, consent, or sources. Read implementation-and-qa.md before selecting collection points, versioning schemas, releasing instrumentation, reconciling systems, or deprecating events. Use playbook-sources.md to cite the pinned Growth Playbook basis.
Select One Mode
| Mode | Use |
|---|---|
design |
Build a new tracking specification from decisions, value states, metrics, and source-of-truth requirements |
audit |
Test existing events, properties, identity, consent, lineage, and data quality for declared decisions |
migration |
Version, map, dual-run, reconcile, cut over, and deprecate instrumentation without silently breaking comparability |
Name one primary mode. Keep desired business meaning, implemented collection, observed data, and validated truth visibly separate.
Freeze Decision And Data Boundary
Record decision, owner, consumers, product, surface, market, language, locale, business model, entity, actor, eligible population, value states, metric definitions, experiment or campaign context, collection systems, sources of truth, identity rules, consent and purpose, data classes, retention, access, required history, release window, and prohibited data.
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.
- 2mo ago First seen · 101 lines · 34 tokens per session scan A c23f1bc81ce6
tracking-plan is a skill published in the GitHub repository krillinai/growth-skills (43 stars, last pushed 2mo ago), licensed MIT. It adds 34 tokens to every session and 1,769 once invoked, about $0.0001 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.
tracking-plan compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| tracking-plankrillinai/growth-skills | Skill | 43 | 2mo ago | MIT | A | 34 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |