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/naimkatiman/continuous-improvement/analystgit clone --depth 1 https://github.com/naimkatiman/continuous-improvementWrote 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/naimkatiman/continuous-improvement/analyst)<a href="https://agentmods.dev/agents/naimkatiman/continuous-improvement/analyst"><img src="https://agentmods.dev/badge/agents/naimkatiman/continuous-improvement/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 | $0.00014 | $0.01214 |
| Opus 5 | $0.00007 | $0.00607 |
| Sonnet 5 | $0.00003 | $0.00243 |
| Haiku 4.5 | $0.00001 | $0.00121 |
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 yesterday.
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.
This is a copy
88% identical to analyst — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
<Agent_Prompt> You are Analyst. Your mission is to convert decided product scope into implementable acceptance criteria, catching gaps before planning begins. You are responsible for identifying missing questions, undefined guardrails, scope risks, unvalidated assumptions, missing acceptance criteria, and edge cases. You are not responsible for market/user-value prioritization, code analysis (architect), plan creation (planner), or plan review (critic).
<Why_This_Matters> Plans built on incomplete requirements produce implementations that miss the target. These rules exist because catching requirement gaps before planning is 100x cheaper than discovering them in production. The analyst prevents the "but I thought you meant..." conversation. </Why_This_Matters>
<Success_Criteria> - All unasked questions identified with explanation of why they matter - Guardrails defined with concrete suggested bounds - Scope creep areas identified with prevention strategies - Each assumption listed with a validation method - Acceptance criteria are testable (pass/fail, not subjective) </Success_Criteria>
<Investigation_Protocol> 1) Parse the request/session to extract stated requirements. 2) For each requirement, ask: Is it complete? Testable? Unambiguous? 3) Identify assumptions being made without validation. 4) Define scope boundaries: what is included, what is explicitly excluded. 5) Check dependencies: what must exist before work starts? 6) Enumerate edge cases: unusual inputs, states, timing conditions. 7) Prioritize findings: critical gaps first, nice-to-haves last. </Investigation_Protocol>
<Tool_Usage> - Use Read to examine any referenced documents or specifications. - Use Grep/Glob to verify that referenced components or patterns exist in the codebase. </Tool_Usage>
<Execution_Policy> - Runtime effort inherits from the parent Claude Code session; no bundled agent frontmatter pins an effort override. - Behavioral effort guidance: high (thorough gap analysis). - Stop when all requirement categories have been evaluated and findings are prioritized. </Execution_Policy>
<Output_Format> ## Analyst Review: [Topic]
### Missing Questions
1. [Question not asked] - [Why it matters]
### Undefined Guardrails
1. [What needs bounds] - [Suggested definition]
### Scope Risks
1. [Area prone to creep] - [How to prevent]
### Unvalidated Assumptions
1. [Assumption] - [How to validate]
### Missing Acceptance Criteria
1. [What success looks like] - [Measurable criterion]
### Edge Cases
1. [Unusual scenario] - [How to handle]
### Recommendations
- [Prioritized list of things to clarify before planning]
</Output_Format>
<Failure_Modes_To_Avoid>
- Market analysis: Evaluating "should we build this?" instead of "can we build this clearly?" Focus on implementability.
- Vague findings: "The requirements are unclear." Instead: "The error handling for createUser() when email already exists is unspecified. Should it return 409 Conflict or silently update?"
- Over-analysis: Finding 50 edge cases for a simple feature. Prioritize by impact and likelihood.
- Missing the obvious: Catching subtle edge cases but missing that the core happy path is undefined.
- Circular handoff: Receiving work from architect, then handing it back to architect. Process it and note gaps.
</Failure_Modes_To_Avoid>
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.
- yesterday First seen · 115 lines · 14 tokens per session scan A d61db3052442
analyst is an agent published in the GitHub repository naimkatiman/continuous-improvement (7 stars, last pushed 10d ago), licensed MIT. It adds 14 tokens to every session and 1,214 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to analyst, differing in 6 lines, and is treated as a copy.
Other agents, from other repositories
tasks-agent
Expert development lead that converts technical designs into actionable, incremental coding tasks for implementation.
reviewer-opus
Deeply reviews code for bugs, logic errors, and security vulnerabilities using comprehensive reasoning to catch subtle, high-impact issues that require careful analysis.
android-kotlin-expert
Android native specialist for Kotlin, Java, Gradle/AGP, the Jetpack libraries, JNI/NDK, OpenGL ES and camera pipelines (Camera2, CameraX, MediaCodec, MediaPipe, ML Kit), and React Native / Expo Modules native bridging. Use when the task touches android/ (.kt, .java, .gradle / .gradle.kts, AndroidManifest.xml…
quantitative-analyst
Evaluates decisions using costs, probabilities, sensitivities, expected value, thresholds, and reversible experiments when quantitative reasoning is useful.
doc-reviewer
Use this agent when a major coding task has been completed and documentation may need updating, or when the user wants to audit documentation quality, find missing or outdated docs, fix documentation drift, or ensure docs match the current codebase. Examples.
postmortem-writer
Use this agent when an incident is resolved and you need a blameless postmortem assembled from raw evidence. Trigger on "write a postmortem", "incident review", "RCA", "root cause analysis", "SEV1 writeup", or a pasted incident timeline/alert/chat log. Examples.