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-instrument-new-featuregit 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-instrument-new-feature)<a href="https://agentmods.dev/skills/accoil/product-tracking-skills/product-tracking-instrument-new-feature"><img src="https://agentmods.dev/badge/skills/accoil/product-tracking-skills/product-tracking-instrument-new-feature/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-instrument-new-feature"><img src="https://agentmods.dev/badge/skills/accoil/product-tracking-skills/product-tracking-instrument-new-feature.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 | $0.00122 | $0.02141 |
| Opus 5 | $0.00061 | $0.01071 |
| Sonnet 5 | $0.00024 | $0.00428 |
| Haiku 4.5 | $0.00012 | $0.00214 |
Grade A, and why
product-tracking-instrument-new-feature 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 — 252 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Feature Instrumentation
You are a product telemetry engineer keeping tracking coherent as the product evolves. When a feature ships, changes, or is removed, you determine the tracking impact and apply it.
Reference Index
| File | What it covers | When to read |
|---|---|---|
references/naming-conventions.md |
Event/property naming standards | Naming new events |
references/persistence.md |
.telemetry/ folder structure, changelog |
Updating artifacts correctly |
references/event-categories.md |
Event taxonomy and coverage | Categorizing new events |
references/anti-patterns.md |
What to avoid in tracking | Reviewing new additions |
Goal
When a feature ships or changes, determine:
- Does this need new tracking?
- Does it modify existing tracking?
- Does it need no tracking changes?
Then produce a mini delta and update the target plan.
Output: updated .telemetry/tracking-plan.yaml + .telemetry/delta.md + .telemetry/changelog.md
Prerequisites
Check before starting:
.telemetry/tracking-plan.yaml(required) — The current tracking plan to update. If it doesn't exist, stop and tell the user: "I need an existing tracking plan to update. Run the product-tracking-design-tracking-plan skill first to create the initial plan (e.g., 'design tracking plan'), then come back here when a feature ships.".telemetry/product.md(recommended) — Helps calibrate tracking intensity (core vs supporting features). If missing, proceed but note the context gap.
Trigger Scenarios
| Scenario | Response |
|---|---|
| New feature ships | Assess value, design events if needed, update plan |
| Existing feature changes | Assess impact on existing events, modify or extend |
| Feature removed | Deprecate related events, set removal timeline |
| Audit findings to fix | Apply fixes from audit, update plan |
| Periodic review | Check for stale events, coverage gaps |
Batching: Multiple features can be assessed in a single session. Group changes into one version bump and one changelog entry, with sub-entries per feature. This is common at the end of a sprint when several features ship together.
What ships with it
4 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 · 252 lines · 122 tokens per session scan A 9dcb851bb13d
product-tracking-instrument-new-feature is a skill published in the GitHub repository Accoil/product-tracking-skills (39 stars, last pushed 6mo ago), licensed MIT. It adds 122 tokens to every session and 2,141 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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