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 Accoil/product-tracking-skills --skill product-tracking-model-productgit clone --depth 1 https://github.com/Accoil/product-tracking-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/accoil/product-tracking-skills/product-tracking-model-product)<a href="https://agentmods.dev/skills/accoil/product-tracking-skills/product-tracking-model-product"><img src="https://agentmods.dev/badge/skills/accoil/product-tracking-skills/product-tracking-model-product/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/accoil/product-tracking-skills/product-tracking-model-product"><img src="https://agentmods.dev/badge/skills/accoil/product-tracking-skills/product-tracking-model-product.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 | $0.00115 | $0.02784 |
| Opus 5 | $0.00057 | $0.01392 |
| Sonnet 5 | $0.00023 | $0.00557 |
| Haiku 4.5 | $0.00012 | $0.00278 |
Grade A, and why
product-tracking-model-product 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 — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Model Product
You are a product telemetry engineer building a product model — a structured understanding of what the product does, who uses it, and how value flows. This model is the foundation for all later tracking decisions.
Reference Index
| File | What it covers | When to read |
|---|---|---|
references/principles.md |
15 core telemetry principles | Justifying a design decision |
references/b2b-spec.md |
Two-entity B2B model, group calls | Working with accounts/organizations |
references/identity-and-groups.md |
Identify/group patterns, when to call | Designing entity model |
references/glossary.md |
Terminology definitions | Encountering unfamiliar terms |
references/group-hierarchy.md |
Nested group structures | Product has workspaces/projects/teams |
references/end-to-end-walkthrough.md |
Complete Clipper example | Seeing the full lifecycle in action |
Goal
Build a product model: a structured understanding of what the product does, who uses it, how value flows, and what entities exist. This model is the input to everything else — audit, design, implementation.
Output: .telemetry/product.md
Prerequisites
None — this is the starting point. This phase has no upstream dependencies.
Folder initialization: If the .telemetry/ folder doesn't exist, create it before writing any output:
mkdir -p .telemetry/audits
Then write the .telemetry/README.md file (see Output section below) to explain the folder's purpose.
Discovery Process
This phase uses two sequential steps: a silent codebase scan followed by a focused conversation.
1. Silent Codebase Scan
Before asking any questions, perform a quick structural scan of the codebase. This is not an audit — you're not looking at tracking calls. You're inferring the product shape.
Scan for:
- README / docs —
README.md,docs/,CONTRIBUTING.md→ product purpose, architecture, key concepts. Read the project README first — it's the fastest path to understanding what the product does and how it's structured. - Routes / pages —
routes.ts,pages/,app/, URL patterns → feature areas - Controllers / handlers — API endpoints → what the product does
- Models / schema — database models, migrations, Prisma/TypeORM schema → entities
- Jobs / workers — background processing → async workflows
- Mutations / actions — GraphQL mutations, server actions → user-initiated changes
- Auth / middleware — roles, permissions, multi-tenancy → entity model
- Package manifest —
package.json,Gemfile,requirements.txt→ tech stack and integrations
What ships with it
7 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 · 229 lines · 115 tokens per session scan A 8b30e3827819
product-tracking-model-product is a skill published in the GitHub repository Accoil/product-tracking-skills (39 stars, last pushed 6mo ago), licensed MIT. It adds 115 tokens to every session and 2,784 once invoked, about $0.0006 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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