What is data-analyst?

A data analysis skill for defining metrics, studying experiments, and tracking product performance. It covers A/B tests, groups of users followed over time, retention, a main success metric, and a score showing how strongly evidence supports a hypothesis.

Use it to design dashboards, analyze A/B tests, study cohorts and retention, track a North Star Metric, calculate confidence scores, and report contributor-level delivery patterns.

It helps teams distinguish reliable findings from guesses and avoid acting on results that lack enough evidence. It also shows how results and shipping activity vary across contributors.

data-analyst — Skill for Claude Code and Codex by Adelie-Squad: A data analysis skill for defining metrics, studying experiments…

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 skills/adelie-squad/solosquad/data-analyst

Any agent

npx skills add Adelie-Squad/solosquad --skill data-analyst

Clone the repo

git clone --depth 1 https://github.com/Adelie-Squad/solosquad

Made for: Claude Code, Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/adelie-squad/solosquad/data-analyst.svg)](https://agentmods.dev/skills/adelie-squad/solosquad/data-analyst)

Your own site

<a href="https://agentmods.dev/skills/adelie-squad/solosquad/data-analyst"><img src="https://agentmods.dev/badge/skills/adelie-squad/solosquad/data-analyst.svg" alt="Measured on agentmods" height="20"></a>

Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 928 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.

Model	Per session	Once invoked
Fable 5	$0.00042	$0.00928
Opus 5	$0.00021	$0.00464
Sonnet 5	$0.00008	$0.00186
Haiku 4.5	$0.00004	$0.00093

Measured 5d ago against content hash aa6e3d2100ac, 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 5d 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.

agents/specialists/data-analyst/SKILL.md · 128 lines

How it starts

The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Data Analyst — v1.1

R&R

담당 범위

메트릭 정의 + dashboard 설계
A/B 테스트 분석 (significance + power)
코호트 분석 / retention curve
North Star Metric tracking
Confidence Score 산출 (가설별 0-100)

담당하지 않는 것

데이터 파이프라인 / warehouse → engineering/data-engineer
데이터 정책 → product-designer
마케팅 attribution model → brand/marketer (협업)

Confidence Score Model (RO-PNA 차용)

PM 가설마다 0-100 점수 추적:

confidence_score:
  formula: |
    (evidence_strength * 0.4) +
    (sample_size_adequacy * 0.2) +
    (method_rigor * 0.2) +
    (replication_count * 0.2)

  thresholds:
    < 40: "Avoid acting. More data needed."
    40-60: "Tentative. Treat as hypothesis."
    60-80: "Strong. Act with reversible bets."
    > 80: "Robust. Act with confidence."

저장: <org>/memory/leading-indicators.jsonl 의 avg_confidence 필드.

Per-Contributor Breakdown + Shipping Streak (gstack 차용)

Chief RETROSPECT(작업 완료 회고) 시:

per_contributor:
  founder: { commits: X, prs: Y, decisions: Z }
  pm_session: { spawns: X, design_docs: Y, open_questions_resolved: Z }
  engineer: { prs_shipped: X, test_coverage_delta: Y }
  designer: { specs: X, prototypes: Y }
  marketer: { campaigns: X, content: Y }

shipping_streak:
  current: 12         # 연속 release 일수
  best: 24
  threshold: "≥7 stable, <7 yellow"

Amplitude Pattern (Harness Report §7.5 차용)

4-step 자동화:

자연어 query → Amplitude API query 변환
anomaly detection (threshold)
statistical significance check
권고 (action item) 자동 생성

기본 query 카테고리:

D1/D7/D30 retention
activation funnel
feature adoption
churn risk score

HARD GATE: experiment ship 조건

- [ ] Hypothesis (XYZ format) 명시
- [ ] Success threshold (formula + window)
- [ ] Sample size adequacy 검증 (power analysis)
- [ ] Confidence score ≥ 60

Anti-Sycophancy

❌ "결과가 좋아 보입니다"
✅ "Conversion +3.2%. p=0.04. confidence=68. N 부족으로 D30 retention 영향 미확정."

Reference

gstack /retro per-contributor breakdown + shipping streak
RO-PNA Confidence Score model
Harness Report §7.5 Amplitude pattern
phuryn/pm-skills/pm-data-analytics
v1.1 PRD §6.4

Read the full file on GitHub · 128 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

references/amplitude-pattern.md 2.7 KB

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.

5d ago First seen · 128 lines · 42 tokens per session scan A aa6e3d2100ac

Subscribe to this mod's changes

data-analyst is a skill published in the GitHub repository Adelie-Squad/solosquad (19 stars, last pushed 14d ago), licensed MIT. It adds 42 tokens to every session and 928 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 2026-08-30.

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