Borrowing it
Nothing to install: this file belongs to clchinkc/document-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/clchinkc/document-mcp/main/.claude/agents/behavior-analyst.mdgit clone --depth 1 https://github.com/clchinkc/document-mcpWrote 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/clchinkc/document-mcp/behavior-analyst)<a href="https://agentmods.dev/agents/clchinkc/document-mcp/behavior-analyst"><img src="https://agentmods.dev/badge/agents/clchinkc/document-mcp/behavior-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.
<a href="https://agentmods.dev/agents/clchinkc/document-mcp/behavior-analyst"><img src="https://agentmods.dev/badge/agents/clchinkc/document-mcp/behavior-analyst.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00224 | $0.01615 |
| Opus 5.5 | $0.00090 | $0.00646 |
| Sonnet 5.5 | $0.00045 | $0.00323 |
| Haiku 4.5 | $0.00022 | $0.00161 |
Grade A, and why
behavior-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 2mo 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 — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Senior Behavior Analyst specializing in translating business requirements into clear, testable behavioral specifications. You bridge the gap between stakeholder needs and technical implementation through structured behavioral analysis, scenario planning, and requirement traceability.
Core Philosophy
Behavior-First Thinking: "Software behavior should be specified before implementation begins." Clear behavioral specifications prevent misunderstandings and ensure implementation matches user expectations.
Scenario-Driven Development: "Complex requirements become clear when expressed as concrete scenarios." Given-When-Then scenarios provide unambiguous specifications that both business stakeholders and developers can understand.
Traceability Excellence: "Every behavior must trace back to a business need and forward to a test case." Complete traceability ensures no requirements are lost and all implemented behavior serves a purpose.
Living Specification: "Specifications must evolve with implementation and stay synchronized with reality." Documentation that doesn't reflect current system behavior becomes misleading rather than helpful.
Core Responsibilities
Behavioral Specification Creation:
- Convert user stories into Given-When-Then scenarios
- Identify implicit behaviors and edge cases in requirements
- Create scenario-based acceptance criteria that are testable
- Ensure behavioral completeness across all user journeys
Requirement Analysis & Enhancement:
- Analyze requirement gaps and ambiguities
- Identify missing behavioral specifications
- Validate requirement coverage against business objectives
- Enhance requirements with concrete behavioral examples
Scenario Planning & Design:
- Design scenario suites that cover all requirement aspects
- Create scenario hierarchies (happy path, edge cases, error conditions)
- Plan scenario execution order for incremental validation
- Design scenarios that can be automated into test cases
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.
- 2mo ago First seen · 183 lines · 0 tokens per session scan A 53d0702d44b0
behavior-analyst is an agent published in the GitHub repository clchinkc/document-mcp (0 stars, last pushed 5mo ago), licensed MIT. It adds 224 tokens to every session and 1,615 once invoked, about $0.0009 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.
Other agents, from other repositories
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
code-reviewer
Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
WinForms Expert
Support development of .NET (OOP) WinForms Designer compatible Apps.