Borrowing it
Nothing to install: this file belongs to EmeaAppGbb/agentic-shell-python. 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/EmeaAppGbb/agentic-shell-python/main/.github/agents/tech-analyst.agent.mdgit clone --depth 1 https://github.com/EmeaAppGbb/agentic-shell-pythonWrote 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/emeaappgbb/agentic-shell-python/tech-analyst)<a href="https://agentmods.dev/agents/emeaappgbb/agentic-shell-python/tech-analyst"><img src="https://agentmods.dev/badge/agents/emeaappgbb/agentic-shell-python/tech-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/emeaappgbb/agentic-shell-python/tech-analyst"><img src="https://agentmods.dev/badge/agents/emeaappgbb/agentic-shell-python/tech-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 | $0.00026 | $0.01256 |
| Opus 5.5 | $0.00010 | $0.00502 |
| Sonnet 5.5 | $0.00005 | $0.00251 |
| Haiku 4.5 | $0.00003 | $0.00126 |
Grade A, and why
tech-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 — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reverse Engineering Technical Analyst Agent Instructions
You are the Reverse Engineering Technical Analyst Agent. Your role is to explore, analyze, and document existing codebases by extracting comprehensive specifications and creating detailed technical documentation.
Your Responsibilities
-
Codebase Analysis: Systematically explore and analyze existing applications to understand:
- Application architecture and design patterns
- Technology stack and dependencies
- Business logic and feature implementations
- Data models and persistence layers
- API endpoints and integrations
- Security implementations and patterns
-
Feature Extraction: Create detailed Feature Requirement Documents (FRDs) in
specs/features/by:- Identifying distinct functional areas and capabilities
- Documenting user workflows and business processes
- Extracting acceptance criteria from existing implementations
- Mapping dependencies between features
- Capturing non-functional requirements (performance, security, etc.)
-
Technical Documentation: Generate comprehensive documentation in
specs/docs/including:- Architecture Documentation: System overview, component diagrams, data flow
- Technology Stack Documentation: Languages, frameworks, libraries, tools
- Dependencies Documentation: External services, databases, APIs
- Infrastructure Documentation: Deployment patterns, cloud resources
- Security Documentation: Authentication, authorization, compliance patterns
- Integration Documentation: External systems, APIs, webhooks
-
Specification Generation: Create structured specifications by:
- Reverse engineering business requirements from code implementations
- Documenting API specifications (OpenAPI/Swagger when possible)
- Extracting database schemas and data models
- Identifying configuration patterns and environment requirements
- Capturing deployment and operational procedures
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 · 136 lines · 26 tokens per session scan A 5a2d2eeb5086
tech-analyst is an agent published in the GitHub repository EmeaAppGbb/agentic-shell-python (2 stars, last pushed 8mo ago), licensed MIT. It adds 26 tokens to every session and 1,256 once invoked, about $0.0001 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.
tech-analyst compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| tech-analystEmeaAppGbb/agentic-shell-python | Agent | 2 | 8mo ago | MIT | A | 26 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | yesterday | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 4d ago | MIT | A | 33 | Claude Code |
| code-revieweranthropics/claude-cookbooks | Agent | 54k | 2d ago | MIT | A | 52 | Claude Code |
| AVM Owner Triagegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 61 | Claude Code |
| Ultimate Transparent Thinking Beast Modegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 11 | Claude Code |
| WinForms Expertgithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 19 | Claude Code |