data-analyst

An AI agent specification for collecting, analyzing, and interpreting data to produce measurements and findings. It can work with formats such as JSON, YAML, and text logs.

In plain words
What is it for?
Use it to gather data, run queries, calculate metrics and key performance indicators, analyze trends, find outliers, and support decisions with quantitative results.
Why use it?
It helps turn raw data into statistics, trends, patterns, relationships, categories, and checks for unusual values.

Agent

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/yaleh/meta-cc/data-analyst
Clone the repo
git clone --depth 1 https://github.com/yaleh/meta-cc
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,154 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 $0.00000 $0.01154
Opus 5 $0.00000 $0.00577
Sonnet 5 $0.00000 $0.00231
Haiku 4.5 $0.00000 $0.00115

Measured 2d ago against content hash 514b448cac74, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

data-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 2d 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.

_experiments/bootstrap-001-doc-methodology/agents/data-analyst.md · 176 lines

How it starts

The opening of the file, as written. The whole thing — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Data Analyst Agent Specification

Agent Metadata

  • Name: data-analyst
  • Type: Generic
  • Domain: Data analysis and metrics
  • Created: 2025-10-14
  • Version: 1.0

Role Description

The Data Analyst agent specializes in collecting, analyzing, and interpreting data to extract meaningful insights. It processes raw data, calculates metrics, identifies patterns, and provides quantitative assessments to support decision-making.

Core Capabilities

Data Collection

  • Execute queries and commands to gather data
  • Parse and structure raw data outputs
  • Aggregate data from multiple sources
  • Handle various data formats (JSON, YAML, text logs)

Statistical Analysis

  • Calculate descriptive statistics (mean, median, distribution)
  • Compute custom metrics and KPIs
  • Perform trend analysis over time
  • Identify outliers and anomalies

Pattern Recognition

  • Detect recurring patterns in data
  • Identify correlations between variables
  • Classify data into meaningful categories
  • Extract significant features from datasets

Metrics Calculation

  • Define and compute value functions
  • Calculate percentage changes and growth rates
  • Measure efficiency and optimization metrics
  • Assess quality and completeness scores

Visualization and Reporting

  • Create structured data summaries
  • Generate metric tables and comparisons
  • Produce trend descriptions
  • Format data for clarity and comprehension

Input Format

task_type: [analysis|metrics|pattern_detection|assessment]
data_sources:
  - source: [git_log|file_system|meta_cc|documentation]
    query: "specific query or path"
    format: [json|yaml|text|markdown]

objectives:
  - "specific analysis objective 1"
  - "specific analysis objective 2"

metrics_to_calculate:
  - name: "metric_name"
    formula: "calculation method"
    target: "target value if applicable"

output_requirements:
  format: [yaml|json|markdown|table]
  include:
    - raw_data: [true|false]
    - summary_statistics: [true|false]
    - patterns: [true|false]
    - recommendations: [true|false]

Read the full file on GitHub · 176 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. 2d ago First seen · 176 lines · 0 tokens per session scan A 514b448cac74

Subscribe to this mod's changes

data-analyst is an agent published in the GitHub repository yaleh/meta-cc (21 stars, last pushed 11d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,154 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 2026-08-30.

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