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.
npx agentmods add agents/hg-pyun/claude-code-marketplace/analystgit clone --depth 1 https://github.com/hg-pyun/claude-code-marketplaceWrote 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.
[](https://agentmods.dev/agents/hg-pyun/claude-code-marketplace/analyst)<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>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 | $0.00045 | $0.03047 |
| Opus 5 | $0.00023 | $0.01523 |
| Sonnet 5 | $0.00009 | $0.00609 |
| Haiku 4.5 | $0.00005 | $0.00305 |
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.
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>
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.
- 4d ago First seen · 216 lines · 45 tokens per session scan A eaedb5ff02bb
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.
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