Analytics Instrumentation Review
Use when reviewing tracking plans, event schemas, analytics instrumentation, funnels, cohorts, experiments, attribution, consent, or downstream metric impact.
Install
$ agentstack add skill-jukrap-ai-agent-playbook-analytics-instrumentation-review ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-jukrap-ai-agent-playbook-analytics-instrumentation-review) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Analytics Instrumentation Review
Use this as the primary data skill for event tracking, analytics instrumentation, funnels, cohorts, and experiments.
Workflow
- Identify business question, event owner, user/account/session grain, event names, properties, identity stitching, and downstream metrics.
- Check client/server event boundary, retry/dedup behavior, consent/privacy rules, sampling, attribution, offline/mobile behavior, and dashboard consumers.
- Separate instrumentation correctness from UI state, backend connector, and reporting presentation concerns.
- Verify with tracking plan, sample payloads, event tests, route/API hints, dashboard impact, and experiment assignment checks when possible.
Reference
Read references/event-tracking-plan.md for event naming, property, identity, consent, and payload checks.
Read references/funnel-cohort-experiment-checks.md for funnel, cohort, experiment, attribution, and downstream metric checks.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: jukrap
- Source: jukrap/ai-agent-playbook
- License: MIT
- Homepage: https://www.npmjs.com/package/ai-agent-playbook
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.