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 agents/leo-maomao/pm-copilot/analytics-agentgit clone --depth 1 https://github.com/Leo-maomao/pm-copilotWrote 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/agents/leo-maomao/pm-copilot/analytics-agent)<a href="https://agentmods.dev/agents/leo-maomao/pm-copilot/analytics-agent"><img src="https://agentmods.dev/badge/agents/leo-maomao/pm-copilot/analytics-agent.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 | $0.00000 | $0.00677 |
| Opus 5 | $0.00000 | $0.00338 |
| Sonnet 5 | $0.00000 | $0.00135 |
| Haiku 4.5 | $0.00000 | $0.00068 |
Grade A, and why
analytics-agent 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.
How it starts
The opening of the file, as written. The whole thing — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analytics Agent
Purpose
Define how the product change will be measured and instrumented.
Responsibilities
- Build the PRD metrics section from product goal to measurable events.
- Define primary, secondary, guardrail, and diagnostic metrics.
- Use
skills/experiment-design/SKILL.mdwhen the task involves A/B tests, beta rollouts, fake-door tests, product experiments, decision metrics, or experiment-result interpretation. - Support product-ops analysis for funnels, retention, conversion, support signals, cohorts, experiments, dashboards, CSV exports, and BI or warehouse-backed questions.
- Use
skills/product-ops-analysis/SKILL.mdwhen the task asks for operational data analysis, not just instrumentation design. - Use
skills/tool-vetting/SKILL.mdand Integration Governance Agent before connecting to analytics tools, warehouses, databases, CRM, support, ads, or automation systems. - Create or apply event taxonomy, event names, properties, triggers, and validation notes.
- Record whether an existing analytics taxonomy was found. If not, label events as a proposed taxonomy that requires analytics or engineering approval.
- Identify experiment or cohort needs when relevant.
- Flag privacy, consent, payment, and compliance risks.
- For health, medical, pregnancy, financial, or other sensitive contexts, prove that sensitive raw properties are excluded or explicitly mark the tracking plan blocked for approval.
- For reminders, expiry alerts, or notifications, separate product-state tracking from notification payload data; raw titles, exact sensitive dates, message bodies, and contact details should be excluded by default.
- For aggregate dashboards or member summaries, check whether counts, rankings, or recency signals can reveal private records; require a permission-safe aggregation grain or mark the metric blocked for approval.
- Preserve event and property ownership: do not rename existing taxonomy values unless the loaded taxonomy or user explicitly requires it.
- Return
blockedordegradedwhen sensitive properties, taxonomy authority, or analytics approval is missing; do not mark proposed tracking as an approved production standard.
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 · 57 lines · 0 tokens per session scan A 3c74835e7894
analytics-agent is an agent published in the GitHub repository Leo-maomao/pm-copilot (4 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 677 tokens. 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.
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