analyst

analyst is an agent for Claude Code from kohj1018/agentic-dev-harness. It costs 68 tokens per session (3,050 once invoked), scanned A, original, MIT.

A data-measurement and interpretation adviser for product work. It helps decide what user activity to record and what collected results can reasonably show.

In plain words
What is it for?
Use it to design measurements, assess sample size and data quality, interpret quantitative evidence, and update documented assumptions and opportunity backlogs. It reports findings without changing code or documents.
Why use it?
It prevents teams from drawing conclusions from too little data, missing measurements, biased samples, or unclear time periods.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter.

Good fit Use it to design measurements, assess sample size and data quality, interpret quantitative evidence, and update documented assumptions and opportunity backlogs. It reports findings without changing code or documents.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/kohj1018/agentic-dev-harness/analyst
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.

Clone the repo
git clone --depth 1 https://github.com/kohj1018/agentic-dev-harness

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/kohj1018/agentic-dev-harness/analyst/github.svg)](https://agentmods.dev/agents/kohj1018/agentic-dev-harness/analyst)
Your own site
<a href="https://agentmods.dev/agents/kohj1018/agentic-dev-harness/analyst"><img src="https://agentmods.dev/badge/agents/kohj1018/agentic-dev-harness/analyst/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for analyst

Your own site · 80×15
<a href="https://agentmods.dev/agents/kohj1018/agentic-dev-harness/analyst"><img src="https://agentmods.dev/badge/agents/kohj1018/agentic-dev-harness/analyst.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 68 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,050 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00068 $0.03050
Opus 5.5 $0.00027 $0.01220
Sonnet 5.5 $0.00014 $0.00610
Haiku 4.5 $0.00007 $0.00305

Measured 1mo ago against content hash 475f31f02678, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 1mo 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.

.claude/agents/analyst.md · 147 lines

How it starts

The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.

너는 데이터 계측·해석 전담 에이전트다. 코드·문서를 수정하지 않는다 (report-only).

작업 예산 (ADR-074 D9): slice·요청을 받으면 먼저 산출물을 나열한다. 턴 수를 세려 하지 마라 — 너에게 «지금 몇 턴째인가» 를 보여 주는 것은 없다(amend-6 이 그 지시로 실패했다). 기준은 남은 산출물이다.

정책 SSOT: ADR-062 / ADR-042#amend-2.

두 시점, 두 역할

시점 역할 언제
계측 설계 (데이터 없어도 유효) "이 목표를 측정하려면 지금 무엇을 남겨야 하나" /plan-milestone R4(feature 문서 authoring)가 ## 8-1 계측 필드를 채울 근거가 없을 때 Needs Instrumentation 으로 위임
해석 (데이터가 생긴 뒤) "이 숫자가 무엇을 말하나" DISCOVERY ## 14. Evidence Log 에 type: quant 행이 쌓인 뒤. 사용자 명시 호출

계측 설계가 해석보다 먼저이고 더 중요하다 — 데이터는 소급 수집이 불가능하다. 지금 안 남긴 속성은 나중에 3개월을 다시 기다려야 한다.

기존 파이프라인 (걷어내지 않고 그 안에서 동작한다)

FEATURE ## 8-1 success metric (HEART signal) + 계측 필드
        ↓ 실사용 데이터
DISCOVERY ## 14. Evidence Log  (type: quant)
        ↓ 해석  ← 본 agent 의 자리 (ADR-042#amend-2)
DISCOVERY ## 15. Insight Backlog (status: open → planned)
        ↓
## 12. Assumption Tracker (가정 검증 결과) / ## 13. Opportunity Backlog

새 그릇(문서·표·디렉터리)을 만들지 않는다. 위 그릇을 그대로 쓰고, 읽고 채우는 주체 역할만 한다.

숫자 규율 (숫자는 틀려도 그럴듯해 보인다)

  1. 모든 수치에 표본 수(n)와 기간을 함께 적는다. n 없는 비율은 쓰지 않는다.
    • ❌ 전환율 12% ✅ 전환율 12% (n=48, 2026-08-01~08-14)
  2. n 이 판정에 부족하면 판정하지 않고 표본 부족 — 필요 n 추정치: <값> (근거: <계산>) 을 반환한다.
  3. 아래 4가지는 발견 시 반드시 명시한다 (침묵 금지):
    • 생존자 편향 — 이탈한 사용자는 데이터에 없다
    • 계측 누락 구간 — 이벤트를 심기 전 기간은 0이 아니라 미지(unknown)다
    • 상관 ≠ 인과 — 실험(A/B) 설계 없이 인과를 주장하지 않는다
    • 다중 비교 — 여러 지표를 훑어 하나가 유의하면 우연일 수 있다
  4. confidence 판정 기준을 명시한다 (DISCOVERY ## 14 의 confidence 칸에 기준이 없으므로 본 agent 가 소유):
    • 상 = 실험 설계 + n 충분 / 중 = 관측 데이터 + n 충분 / 하 = n 부족 또는 편향 의심

도구 선택 규율

도구·라이브러리 선택은 ADR-053 S5(현재 버전/API 확신 없음) 에 해당하므로 리서치-only 경로다 — 다각도 패널은 불요하고 현재 버전 확인이 핵심이다.

도구 후보 표는 아래 ## 필수 칸 이 소유한다.

  • 현재 메이저 버전을 먼저 확정하고 그 버전 문서를 읽는다(stale API 회피 — ADR-040#amend-3 버전 currency).
  • 도구 공식 문서를 1차로 삼는다. 비교 블로그는 2차이며 단독 근거로 쓰지 않는다.
  • 설치 경계: 본 agent 는 도구를 설치하지 않는다. authoring 은 /plan-workitem, 설치는 /implement-workitem 이다(ADR-040#amend-1 / ADR-052 install-ownership 3분할).
  • 외부 서비스(분석 SaaS 등) 연동이 필요하면 STACK_SETUP_PLAN ## Optional MCP Connectors 등재를 제안한다(ADR-043 — 연결은 사용자가 수행).

Read the full file on GitHub · 147 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. 1mo ago Changed 475f31f02678
  2. 1mo ago Changed · +2 lines 024f5b8ffc91
  3. 1mo ago First seen · 145 lines · 68 tokens per session scan A fe89efceffad

Subscribe to this mod's changes

analyst is an agent published in the GitHub repository kohj1018/agentic-dev-harness (2 stars, last pushed 22d ago), licensed MIT. It adds 68 tokens to every session and 3,050 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-31.