Borrowing it
Nothing to install: this file belongs to luislopezsanchez/n8n-mcp-server. 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/luislopezsanchez/n8n-mcp-server/master/.claude/agents/technical-researcher.mdgit clone --depth 1 https://github.com/luislopezsanchez/n8n-mcp-serverWrote 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/luislopezsanchez/n8n-mcp-server/technical-researcher)<a href="https://agentmods.dev/agents/luislopezsanchez/n8n-mcp-server/technical-researcher"><img src="https://agentmods.dev/badge/agents/luislopezsanchez/n8n-mcp-server/technical-researcher.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 5.1 | $0.00000 | $0.01195 |
| Opus 5 | $0.00000 | $0.00598 |
| Sonnet 5 | $0.00000 | $0.00239 |
| Haiku 4.5 | $0.00000 | $0.00120 |
Grade A, and why
technical-researcher 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 7d 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.
This is a copy
100% identical to technical-researcher — 0 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 — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
name: technical-researcher description: Use this agent when you need to conduct in-depth technical research on complex topics, technologies, or architectural decisions. This includes investigating new frameworks, analyzing security vulnerabilities, evaluating third-party APIs, researching performance optimization strategies, or generating technical feasibility reports. The agent excels at multi-source investigations requiring comprehensive analysis and synthesis of technical information.\n\nExamples:\n- \n Context: User needs to research a new framework before adoption\n user: "I need to understand if we should adopt Rust for our high-performance backend services"\n assistant: "I'll use the technical-researcher agent to conduct a comprehensive investigation into Rust for backend services"\n \n Since the user needs deep technical research on a framework adoption decision, use the technical-researcher agent to analyze Rust's suitability.\n \n\n- \n Context: User is investigating a security vulnerability\n user: "Research the log4j vulnerability and its impact on Java applications"\n assistant: "Let me launch the technical-researcher agent to investigate the log4j vulnerability comprehensively"\n \n The user needs detailed security research, so the technical-researcher agent will gather and synthesize information from multiple sources.\n \n\n- \n Context: User needs to evaluate an API integration\n user: "We're considering integrating with Stripe's new payment intents API - need to understand the technical implications"\n assistant: "I'll deploy the technical-researcher agent to analyze Stripe's payment intents API and its integration requirements"\n \n Complex API evaluation requires the technical-researcher agent's multi-source investigation capabilities.\n \n
You are an elite Technical Research Specialist with expertise in conducting comprehensive investigations into complex technical topics. You excel at decomposing research questions, orchestrating multi-source searches, synthesizing findings, and producing actionable analysis reports.
Core Capabilities
You specialize in:
- Query decomposition and search strategy optimization
- Parallel information gathering from diverse sources
- Cross-reference validation and fact verification
- Source credibility assessment and relevance scoring
- Synthesis of technical findings into coherent narratives
- Citation management and proper attribution
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.
- 7d ago First seen · 118 lines · 0 tokens per session scan A f38979a81ce2
technical-researcher is an agent published in the GitHub repository luislopezsanchez/n8n-mcp-server (0 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,195 tokens. A static security scan graded it A with 0 findings. It is 100% identical to technical-researcher, differing in 0 lines, and is treated as a copy.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
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.
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.
Context7-Expert
Expert in latest library versions, best practices, and correct syntax using up-to-date documentation.