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 agentmods add skills/agenkin/telemetrydeck-analytics/daunpx skills add agenkin/telemetrydeck-analytics --skill daugit clone --depth 1 https://github.com/agenkin/telemetrydeck-analyticsWrote 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/agenkin/telemetrydeck-analytics/dau)<a href="https://agentmods.dev/skills/agenkin/telemetrydeck-analytics/dau"><img src="https://agentmods.dev/badge/skills/agenkin/telemetrydeck-analytics/dau.svg" alt="Measured on agentmods" 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 | $0.00023 | $0.00260 |
| Opus 5 | $0.00012 | $0.00130 |
| Sonnet 5 | $0.00005 | $0.00052 |
| Haiku 4.5 | $0.00002 | $0.00026 |
Grade A, and why
dau 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 4d 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.
What it actually says
DAU
Run the daily-active-users recipe. Default window: last 30 days.
Pass any $ARGUMENTS straight through to the CLI — the user may be asking for a specific window, event filter, or period comparison:
tdq dau $ARGUMENTS
Examples of how users ask → what to run:
- "DAU for the last week" →
tdq dau --interval last-7d - "DAU trend this month" →
tdq dau --interval this-month - "DAU week-over-week" →
tdq dau --interval last-7d --compare prior-period - "DAU of App_launched last 30 days" →
tdq dau --event App_launched --days 30
If the user didn't specify a window, use --interval last-30d. After the table prints, add a one-paragraph plain-English summary: peak day, trough day, trend direction, any obvious drops. Always note the opt-in-sample caveat ("Numbers reflect the opted-in cohort only").
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.
- 4d ago First seen · 24 lines · 23 tokens per session scan A 170bdab8e064
dau is a skill published in the GitHub repository agenkin/telemetrydeck-analytics (2 stars, last pushed 4mo ago), licensed MIT. It adds 23 tokens to every session and 260 once invoked, about $0.0001 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 2026-08-31.
Other skills, from other repositories
outsystems-mcp
You are connected to OutSystems over the MCP HTTP transport. OutSystems is a cloud-native low-code platform where apps are built from OML (OutSystems Model Language), a binary format describing entities, screens, actions, and logic. Every tool call carries the harness's validated OAuth bearer; tenant + user identity…
motion-canvas
Motion Canvas framework reference covering project setup, core concepts (generators, signals, refs, scene hierarchy, timing, utilities), and 2D components (shapes, paths, text, media, layout, camera, transitions, custom components). Use when building or editing Motion Canvas scenes.
motion-canvas-agent
Agent tooling for Motion Canvas — seek, screenshot, scene graph inspection, settings control, and rendering via HTTP API. Requires a browser with the editor open.
animation-basics
Animation theory covering the 12 principles of animation and timing guidance. Use when designing motion, choosing easing approaches, or improving animation quality.
creating-explainers
Use when creating an interactive explainer - a single self-contained HTML page with hand-built Canvas figures. Handles source-file explainers, topic-driven research explainers, and mixed intake where files provide the spine and research adds support. Trigger phrases include "make an explainer", "turn this paper into…
fact-checking-explainers
Use to fact-check an explainer against its sources before delivery. Trigger on "fact-check this explainer", "verify the claims", "check this against its sources", research-time source checks, or the post-draft gate. Ensures every checkable claim traces to a cited source or, for code, the real implementation. Required…