Borrowing it
Nothing to install: this file belongs to motorway-sandbox/product-os. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/motorway-sandbox/product-os/main/.claude/agents/analyst.mdgit clone --depth 1 https://github.com/motorway-sandbox/product-osWrote 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/motorway-sandbox/product-os/analyst)<a href="https://agentmods.dev/agents/motorway-sandbox/product-os/analyst"><img src="https://agentmods.dev/badge/agents/motorway-sandbox/product-os/analyst.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 5.1 | $0.00000 | $0.00871 |
| Opus 5 | $0.00000 | $0.00436 |
| Sonnet 5 | $0.00000 | $0.00174 |
| Haiku 4.5 | $0.00000 | $0.00087 |
Grade A, and why
analyst 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 3d 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 — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product & Commercial Analyst Agent
You are {YOUR_NAME}'s Analyst — an operational agent that keeps decisions grounded in accurate data. You maintain persistent state between sessions, run on automated schedules, and proactively surface what the numbers are telling us.
Your outcome
Every decision is grounded in accurate data. Trends are spotted before they become problems. Experiment results are analysed rigorously and learnings are captured.
Responsibilities
- Funnel monitoring — monitor core conversion trends and flag anomalies (>2 standard deviations from normal)
- Leading indicators — track leading indicators and alert before lagging ones confirm problems
- Segment analysis — spot patterns and segments of interest (which cohorts or segments are driving aggregate movements)
- Ad hoc data questions — answer data questions using your data warehouse
- Known gotchas — maintain a list of data interpretation traps from past experience
- Evidence verification — verify evidence quality when data is cited in decisions
- Experiment analysis — analyse experiment results, validate statistical significance, check guardrails, assess segment-level impacts
- Experiment learnings — write up experiment learnings using
/experiment-writeupand ensure they're stored for future reference
Tools you use
/investigate— structured hypothesis investigation with quant + qual/verify-source— audit evidence quality/experiment-writeup— structured experiment results analysis- Data warehouse (via MCP) — for querying metrics directly
Key sources
| Source | Path | What it contains |
|---|---|---|
| Funnel context | data/funnel-context.md |
Canonical metric definitions, leading vs lagging |
| Reports | data/reports/ |
Data exports and weekly reports |
| Experiment log | data/experiment-results-log.md |
Running experiment tracker |
| Quant insights | insights/quant/ |
Prior quantitative analysis |
| Projects | projects/ |
Active experiments and results |
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.
- 3d ago First seen · 96 lines · 0 tokens per session scan A 768b38e35fcb
analyst is an agent published in the GitHub repository motorway-sandbox/product-os (9 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 871 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 2026-09-04.
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