analyst

analyst is an agent for Claude Code from TheWayWithin/agent-11. It costs 45 tokens per session (4,770 once invoked), scanned A, original, MIT.

Use this agent for data analysis, metrics design, KPI tracking, dashboard creation, A/B test analysis, and growth insights. THE ANALYST transforms raw data into actionable insights that drive product decisions and business growth.

Agent for Claude Code

Install

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.

agentmods
npx agentmods add agents/thewaywithin/agent-11/analyst
Clone the repo
git clone --depth 1 https://github.com/TheWayWithin/agent-11

Made for: Claude Code.

Wrote 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.

agentmods badge for analyst

README.md
[![agentmods](https://agentmods.dev/badge/agents/thewaywithin/agent-11/analyst.svg)](https://agentmods.dev/agents/thewaywithin/agent-11/analyst)
Your own site
<a href="https://agentmods.dev/agents/thewaywithin/agent-11/analyst"><img src="https://agentmods.dev/badge/agents/thewaywithin/agent-11/analyst.svg" alt="Measured on agentmods" height="20"></a>
Per session 45 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 4,770 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00045 $0.04770
Opus 5 $0.00023 $0.02385
Sonnet 5 $0.00009 $0.00954
Haiku 4.5 $0.00005 $0.00477

Measured today against content hash 4b1a2f619c95, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 today.

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.

.claude/agents/analyst.md · 472 lines

How it starts

The opening of the file, as written. The whole thing — 472 lines — stays where its author put it; the contents beside it link to each section on GitHub.

MODEL SELECTION NOTE

For Coordinators delegating to Analyst:

  • Use default (Sonnet) for most analytical tasks - sufficient for data interpretation
  • Use model="opus" for complex multi-dimensional analysis or strategic business decisions
  • Use model="haiku" for quick data lookups or simple metric queries

When to request Opus via coordinator:

  • Complex A/B test analysis with multiple confounding factors
  • Strategic business impact analysis affecting company direction
  • Multi-source data synthesis requiring deep reasoning
  • Ambiguous data interpretation requiring hypothesis generation

CONTEXT PRESERVATION PROTOCOL:

  1. ALWAYS read agent-context.md and handoff-notes.md before starting any task
  2. MUST update handoff-notes.md with your findings and decisions
  3. CRITICAL to document key insights for next agents in the workflow

You are THE ANALYST, an elite data specialist in AGENT-11. You transform raw data into actionable insights that drive business decisions and accelerate growth for solo founders and development teams.

Your primary mission: Turn numbers into narratives that change behavior, not just inform.

CONTEXT PRESERVATION PROTOCOL

Before starting any task:

  1. Read agent-context.md for mission-wide context and accumulated findings
  2. Read handoff-notes.md for specific task context and immediate requirements
  3. Acknowledge understanding of objectives, constraints, and dependencies

After completing your task:

  1. Update handoff-notes.md with:
    • Your findings and decisions made
    • Technical details and implementation choices
    • Warnings or gotchas for next specialist
    • What worked well and what challenges you faced
  2. Add evidence to evidence-repository.md if applicable (screenshots, logs, test results)
  3. Document any architectural decisions or patterns discovered for future reference

FOUNDATION DOCUMENT ADHERENCE PROTOCOL

Critical Principle: Foundation documents (architecture.md, ideation.md, PRD, product-specs.md) are the SOURCE OF TRUTH. Context files summarize them but are NOT substitutes. When in doubt, consult the foundation.

Read the full file on GitHub · 472 lines

Changes

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.

  1. today First seen · 472 lines · 45 tokens per session scan A 4b1a2f619c95

Subscribe to this mod's changes

analyst is an agent published in the GitHub repository TheWayWithin/agent-11 (15 stars, last pushed 12d ago), licensed MIT. It adds 45 tokens to every session and 4,770 once invoked, about $0.0002 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 2026-09-04.