A skill your agent uses when the user wants preview QA, failure interpretation, release readiness, or an explicit publish handoff.

Apache-2.0Auto-check passedProduct & Project Management

Install Tracking Verify

skills CLI
$ npx skills add jtrackingai/analytics-tracking-automation --skill tracking-verify -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jtrackingai/analytics-tracking-automation tracking-verify --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jtrackingai/analytics-tracking-automation.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/tracking-verify .claude/skills/tracking-verify && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
tracking-verify
GitHub stars
142
Token cost
~695 tokens
SKILL.md length
236 words
Files
2
Skills in repo
8
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses when the user wants preview QA, failure interpretation, release readiness, or an explicit publish handoff.

  • The user wants preview QA
  • SKILL.md covers Inputs, Workflow, Required Output and Closeout Style, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Failure interpretation

What it does

Tracking Verify is an agent skill from jtrackingai/analytics-tracking-automation. Use when the user wants preview QA, failure interpretation, release readiness, or an explicit publish handoff.

Its SKILL.md is about 700 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in Product & Project Management, covering Feature launches and release readiness and Go-to-market strategy. It works with Google Analytics and Shopify. The repository describes itself as: AI-powered GA4 + GTM event tracking — automates site analysis, event schema, GTM sync, preview verification, and publishing. Works with Cursor, Codex, and any AI agent. The licence is Apache-2.0.

When your agent uses it

  • The user wants preview QA
  • Failure interpretation
  • Release readiness
  • An explicit publish handoff

Example prompts

  • “/tracking-verify”

What it can do on your machine

Read from SKILL.md and the folder at commit 68378e0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Tracking Verify loads about 695 tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 236 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~32
When it runs · the whole SKILL.md, loaded when a task matches
~695

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jtrackingai/analytics-tracking-automation at commit 68378e0, republished under its Apache-2.0 licence (© jtrackingai). 236 words, ~695 tokens.

Download SKILL.mdSave it as .claude/skills/tracking-verify/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
tracking-verify
description
Use when the user wants preview QA, failure interpretation, release readiness, or an explicit publish handoff.

Tracking Verify

Use this skill for verification and optional publish handoff.

Inputs

  • <artifact-dir>/event-schema.json
  • <artifact-dir>/gtm-context.json

Workflow

If the telemetry consent prompt appears and no prior choice is recorded, stop and follow ../../references/telemetry-consent.md before continuing.

Run preview:

bash
./event-tracking preview <artifact-dir>/event-schema.json --context-file <artifact-dir>/gtm-context.json

If comparing against an older preview run, pass the previous health baseline:

bash
./event-tracking preview <artifact-dir>/event-schema.json --context-file <artifact-dir>/gtm-context.json --baseline <previous-tracking-health.json>

preview launches a real Chromium via Playwright and exercises the live site to fire GA4/GTM events for verification. Run it in an environment that permits outbound network and local browser execution; environments that restrict either tend to cause Playwright to hang or fail silently rather than return a clean error.

Then interpret:

  • blockers
  • expected failures
  • selector mismatches
  • unexpected fired events outside the approved schema
  • release readiness

If the user explicitly wants to publish after verification:

bash
./event-tracking publish --context-file <artifact-dir>/gtm-context.json --version-name "GA4 Events v1 - <date>"

If tracking-health.json is missing, still manual-only, or has blockers, publish now stops by default. Only use --force when the user explicitly wants to override that gate.

Required Output

Produce and share:

  • <artifact-dir>/preview-report.md
  • <artifact-dir>/preview-result.json
  • <artifact-dir>/tracking-health.json
  • <artifact-dir>/tracking-health-report.md
  • <artifact-dir>/tracking-health-history/
  • updated <artifact-dir>/workflow-state.json

Closeout Style

  • default to a verification verdict first: healthy, blocked, or manual follow-up required
  • summarize blockers, unexpected events, and release-readiness in plain language before listing files
  • keep raw preview data and artifact references after the summary

Stop Boundary

  • stop after preview if the user only asked for QA
  • publish only when the user explicitly wants to affect the live site

If the platform is Shopify, switch to the Shopify-specific rules in tracking-shopify.

References

© jtrackingai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/tracking-verify of jtrackingai/analytics-tracking-automation.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit 68378e0

Compare with similar skills

Tracking Verify next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Tracking Verify compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Tracking Verify this skilljtrackingai/analytics-tracking-automation142—~695Automated safety check: PassApache-2.0
60 Launch Playbook Globalminhnv0807/ai-business-skills608—~3kAutomated safety check: PassMIT
.NET MAUI Release Readinessdotnet/maui23k—~15kAutomated safety check: PassMIT
Release ValidationMesh-LLM/mesh-llm3.5k—~2.6kAutomated safety check: PassApache-2.0
Final Release Reviewopenai/openai-agents-python30k—~5.4kAutomated safety check: PassMIT
Organic Growth Path Advisordeanpeters/Product-Manager-Skills7.2k2 repos~5.2kAutomated safety check: PassCustom licence

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More from jtrackingai/analytics-tracking-automation

All 8 skills in this repo
  • Tracking Discover

    jtrackingai/analytics-tracking-automation

    A skill your agent uses when the user wants crawl coverage, platform detection, dataLayer discovery, or a fresh artifact directory before grouping and schema work.

    142 GitHub starsUsed in 1 repo~614 tokens
    Auto-check passed
  • Analytics Tracking Automation

    jtrackingai/analytics-tracking-automation

    A skill your agent uses when you need GA4 + GTM tracking delivery from site discovery through publish, or when the right phase entry point is still unclear.

    142 GitHub stars~2.8k tokensUpdated 5 mo ago
    Auto-check passed
  • Tracking Group

    jtrackingai/analytics-tracking-automation

    A skill your agent uses when the work starts from site-analysis.json and the user wants page-group authoring, grouping adjustments, or page-group approval.

    142 GitHub stars~492 tokensUpdated 5 mo ago
    Auto-check passed
  • Tracking Live Gtm

    jtrackingai/analytics-tracking-automation

    A skill your agent uses when the user wants to inspect the real live GTM runtime before schema generation or compare multiple live GTM containers.

    142 GitHub stars~721 tokensUpdated 5 mo ago
    Auto-check passed
  • Tracking Schema

    jtrackingai/analytics-tracking-automation

    A skill your agent uses when the user wants schema preparation, event design, selector validation, schema review, or event-spec generation.

    142 GitHub stars~1.1k tokensUpdated 5 mo ago
    Auto-check passed
  • Tracking Sync

    jtrackingai/analytics-tracking-automation

    A skill your agent uses when the user wants GTM-ready config generation, GTM workspace sync, or container selection from an approved schema.

    142 GitHub stars~677 tokensUpdated 5 mo ago
    Auto-check passed

Questions about Tracking Verify

What does Tracking Verify do?

A skill your agent uses when the user wants preview QA, failure interpretation, release readiness, or an explicit publish handoff. Tracking Verify is an agent skill from jtrackingai/analytics-tracking-automation. Use when the user wants preview QA, failure interpretation, release readiness, or an explicit publish handoff.

When should I use Tracking Verify?

Tracking Verify fits situations like: the user wants preview QA; failure interpretation; release readiness; an explicit publish handoff.

How do I install Tracking Verify in Claude Code?

Run `npx skills add jtrackingai/analytics-tracking-automation --skill tracking-verify -a claude-code`. Or copy the skill folder (skills/tracking-verify in jtrackingai/analytics-tracking-automation) into .claude/skills/tracking-verify in your project. Claude Code loads it when a task matches its description.

How do I install Tracking Verify in Codex?

Run `npx skills add jtrackingai/analytics-tracking-automation --skill tracking-verify -a codex`. Or copy the skill folder (skills/tracking-verify in jtrackingai/analytics-tracking-automation) into .agents/skills/tracking-verify in your project. Codex loads it when a task matches its description.

Can I use Tracking Verify in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jtrackingai/analytics-tracking-automation --skill tracking-verify -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tracking-verify, .gemini/skills/tracking-verify, .github/skills/tracking-verify and .opencode/skills/tracking-verify in your project.

What does Tracking Verify need to run?

SKILL.md names no scripts, command-line tools or credentials: Tracking Verify is instructions for the agent only.

Does Tracking Verify access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Tracking Verify safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Tracking Verify use?

Tracking Verify is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Tracking Verify use?

About 695 tokens (SKILL.md is roughly 2.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Tracking Verify?

Skills that share tags, products or a category with Tracking Verify: 60 Launch Playbook Global (minhnv0807/ai-business-skills, 608 stars), .NET MAUI Release Readiness (dotnet/maui, 23k stars), Release Validation (Mesh-LLM/mesh-llm, 3.5k stars) and Final Release Review (openai/openai-agents-python, 30k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Tracking Verify?

jtrackingai (a GitHub user) maintains it in jtrackingai/analytics-tracking-automation, which has 142 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on April 29, 2026.

Source: jtrackingai/analytics-tracking-automation on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.