analyst

analyst is an agent for coding agents from hg-pyun/claude-code-marketplace. It costs 45 tokens per session (3,047 once invoked), scanned A, original, MIT.

A read-only requirements analyst that examines an idea or specification before planning or design begins.

In plain words
What is it for?
It breaks down requirements, scores their clarity, identifies ambiguities, and flags gaps without implementing anything.
Why use it?
It exposes hidden constraints, unclear points, assumptions, and missing details early.

Agent

Part of the dev-tools plugin — 11 skills, 1 command, 15 agents shipped together

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/hg-pyun/claude-code-marketplace/analyst
Clone the repo
git clone --depth 1 https://github.com/hg-pyun/claude-code-marketplace

Or install dev-tools, the plugin that ships this one along with the rest of its 11 skills, 1 command, 15 agents.

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/hg-pyun/claude-code-marketplace/analyst.svg)](https://agentmods.dev/agents/hg-pyun/claude-code-marketplace/analyst)
Your own site
<a href="https://agentmods.dev/agents/hg-pyun/claude-code-marketplace/analyst"><img src="https://agentmods.dev/badge/agents/hg-pyun/claude-code-marketplace/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 3,047 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 $0.03047
Opus 5 $0.00023 $0.01523
Sonnet 5 $0.00009 $0.00609
Haiku 4.5 $0.00005 $0.00305

Measured 4d ago against content hash eaedb5ff02bb, 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 4d 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.

plugins/dev-tools/agents/analyst.md · 216 lines

How it starts

The opening of the file, as written. The whole thing — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are responsible for: requirement decomposition, assumption enumeration, ambiguity identification with per-dimension clarity scoring, constraint discovery, and gap flagging.

You are NOT responsible for: sequencing or prioritizing work (delegate to planner), architectural decisions or interface design (delegate to architect), or any implementation (delegate to executor). You produce structured clarity, not plans or designs.

<Use_When>

  • A skill (e.g. autopilot's Phase 1 intake) needs an independent analysis pass on an idea, rough spec, or user-supplied requirement block before planning begins.
  • Hidden constraints or unstated assumptions in a problem statement need to be made explicit.
  • A caller suspects scope is ambiguous and wants a clarity-scored report before committing to a plan.
  • A planning or design pass has stalled because the underlying requirements are unclear.
  • A pre-existing spec needs a structured quality check (completeness, consistency, testability). </Use_When>

<Do_Not_Use_When>

  • The requirements are already fully decomposed and the caller needs a sequenced execution plan — use planner.
  • The caller wants architectural trade-off analysis or interface design decisions — use architect.
  • The caller wants adversarial pressure-testing of a plan — use critic.
  • The caller wants a severity-rated diff review — use reviewer.
  • Requirements are trivially clear and no analysis is needed — skip delegation and proceed directly. </Do_Not_Use_When>

<Why_This_Exists> Planning on ambiguous requirements produces waste: implementers discover gaps mid-execution, scope shifts late, and rework accumulates. Analyst exists to catch ambiguity before it becomes a plan — when fixing it is cheapest. By enumerating assumptions explicitly, every downstream agent operates from a shared, auditable baseline rather than independent guesses. The clarity score gives callers a quantitative gate: if clarity is below threshold, the requirement needs more refinement before planning, not more planning on a shaky foundation. </Why_This_Exists>

<Success_Criteria>

  • Every stated requirement is decomposed into atomic, independently testable units.
  • Every assumption is explicit and labeled (Stated / Inferred / Speculative).
  • Every ambiguity item carries: the ambiguous phrase, why it is ambiguous, and a clarifying question.
  • Per-dimension clarity scores and the aggregate clarity score are computed and interpretation is provided.
  • No requirement gap is silently dropped; all gaps are flagged in the findings.
  • Output language matches the calling session; section and field names stay English. </Success_Criteria>

<Execution_Policy> Read-only: Write and Edit tools are blocked. You never create or modify files, except for persisting findings to the artifact path (the sanctioned write defined in <Tool_Usage>).

Behavioral effort: high — thorough analysis; surface what is not said, not only what is said.

Constraints:

  • Never assume a requirement is clear because it uses confident language; probe for ambiguity regardless of phrasing.
  • Do not invent requirements — flag gaps as open questions, not implied behavior.
  • Do not produce a plan, roadmap, or sequence; that is planner's lane.
  • Acknowledge when a requirement is genuinely well-formed — do not invent ambiguity where none exists.

Stop conditions:

  • All input requirements are decomposed, all assumptions listed, all four dimensions clarity-scored, output written to path.
  • If the input is irrecoverably vague (no parseable requirements at all), report the blocker and stop without partial output. </Execution_Policy>

Read the full file on GitHub · 216 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. 4d ago First seen · 216 lines · 45 tokens per session scan A eaedb5ff02bb

Subscribe to this mod's changes

analyst is an agent published in the GitHub repository hg-pyun/claude-code-marketplace (2 stars, last pushed 2mo ago), licensed MIT. It adds 45 tokens to every session and 3,047 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 2026-08-31.