Install
$ agentstack add skill-agenkin-telemetrydeck-analytics-groupby ✓ 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.
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
Groupby
Run a one-dimension breakdown. $ARGUMENTS starts with the dimension name and then any flags:
tdq groupby $ARGUMENTS
Examples:
- "License split for App_launched, last 30d" →
tdq groupby license --event App_launched --interval last-30d - "OS major-version breakdown by users, this month" →
tdq groupby majorSystemVersion --metric users --interval this-month - "License share vs. last period" →
tdq groupby license --event App_launched --interval last-30d --compare prior-period - "Top countries last week" →
tdq groupby countryCode --metric users --interval last-7d
If the user mentions "share" / "mix" / "split", compute percentages client-side from the result and include them in the summary. If they say "vs last month" / "trending", add --compare prior-period.
Always state what the metric represents: --metric count is event count (not users), --metric users is unique clientUser cardinality.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: agenkin
- Source: agenkin/telemetrydeck-analytics
- License: MIT
- Homepage: https://github.com/agenkin/telemetrydeck-analytics
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.