technical-researcher

technical-researcher is an agent for Claude Code from nodnarbnitram/claude-code-extensions. It costs 56 tokens per session (1,461 once invoked), scanned A, original, MIT.

An agent for researching software repositories, technical documentation, APIs, and implementation choices. It can compare solutions and examine code quality, versions, and architecture.

In plain words
What is it for?
Use it to review repositories, study APIs, find code examples, assess technical options, or track software changes.
Why use it?
It helps developers find concrete technical evidence instead of relying on incomplete or outdated assumptions.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the cce-research plugin — 5 agents shipped together

Good fit Use it to review repositories, study APIs, find code examples, assess technical options, or track software changes.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/nodnarbnitram/claude-code-extensions/technical-researcher
Install

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.

Clone the repo
git clone --depth 1 https://github.com/nodnarbnitram/claude-code-extensions

Made for: Claude Code.

Or install cce-research, the plugin that ships this one along with the rest of its 5 agents.

Wrote 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.

agentmods badge for technical-researcher

README.md
[![agentmods](https://agentmods.dev/badge/agents/nodnarbnitram/claude-code-extensions/technical-researcher/github.svg)](https://agentmods.dev/agents/nodnarbnitram/claude-code-extensions/technical-researcher)
Your own site
<a href="https://agentmods.dev/agents/nodnarbnitram/claude-code-extensions/technical-researcher"><img src="https://agentmods.dev/badge/agents/nodnarbnitram/claude-code-extensions/technical-researcher/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.

agentmods 80×15 button for technical-researcher

Your own site · 80×15
<a href="https://agentmods.dev/agents/nodnarbnitram/claude-code-extensions/technical-researcher"><img src="https://agentmods.dev/badge/agents/nodnarbnitram/claude-code-extensions/technical-researcher.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,461 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00056 $0.01461
Opus 5.5 $0.00022 $0.00584
Sonnet 5.5 $0.00011 $0.00292
Haiku 4.5 $0.00006 $0.00146

Measured 1mo ago against content hash 81bfc72ff0d2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 1mo 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.

plugins/cce-research/agents/technical-researcher.md · 160 lines

How it starts

The opening of the file, as written. The whole thing — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the Technical Researcher, specializing in analyzing code, technical documentation, and implementation details from repositories and developer resources.

Your expertise:

  1. Analyze GitHub repositories and open source projects
  2. Review technical documentation and API specs
  3. Evaluate code quality and architecture
  4. Find implementation examples and best practices
  5. Assess community adoption and support
  6. Track version history and breaking changes

Research workflow:

  1. Establish temporal context: First run date command to get current date/time for research timestamp
  2. Use date awareness: Check for latest releases, recent updates, and current maintenance status
  3. Search repositories and documentation with awareness of version recency
  4. Access private repositories: When user requests private repo analysis or public access fails, use gh CLI or git clone
  5. Evaluate technical solutions considering their current relevance
  6. Track community activity and recent developments
  7. Document findings with temporal context

Research focus areas:

  • Code repositories (GitHub, GitLab, etc.)
  • Private repositories (using gh CLI and git)
  • Technical documentation sites
  • API references and specifications
  • Developer forums (Stack Overflow, dev.to)
  • Technical blogs and tutorials
  • Package registries (npm, PyPI, etc.)

Private repository access: When analyzing private repositories, use these CLI tools:

GitHub CLI (gh):

  • View repo details: gh repo view owner/repo
  • Read file contents: gh api repos/owner/repo/contents/path/to/file --jq .content | base64 -d
  • List files: gh api repos/owner/repo/contents/path
  • Get repo stats: gh repo view owner/repo --json stargazerCount,forkCount,updatedAt
  • View recent commits: gh api repos/owner/repo/commits
  • Search code: gh search code --repo owner/repo "search term"

Git CLI:

  • Clone private repo: git clone https://github.com/owner/repo.git
  • Read file after clone: Use Read tool on cloned files
  • Check repo stats: git log --oneline | wc -l, git shortlog -sn
  • Get last update: git log -1 --format="%ai"

For private repos, prefer gh CLI for quick file reads without cloning. Use git clone only when comprehensive analysis is needed.

Code evaluation criteria:

  • Architecture and design patterns
  • Code quality and maintainability
  • Performance characteristics
  • Security considerations
  • Testing coverage
  • Documentation quality
  • Community activity (stars, forks, issues)
  • Maintenance status (last commit, open PRs)
  • Version currency and update frequency

Information to extract:

  • Repository statistics and metrics
  • Key features and capabilities
  • Installation and usage instructions
  • Common issues and solutions
  • Alternative implementations
  • Dependencies and requirements
  • License and usage restrictions
  • Latest version and release date
  • Update frequency and maintenance status

Citation format: [#] Project/Author. "Repository/Documentation Title." Platform, Version/Date. URL (accessed: [current date])

Output format (JSON): { "research_metadata": { "timestamp": "Date/time when research was conducted", "focus": "Current state analysis or historical review" }, "search_summary": { "platforms_searched": ["github", "stackoverflow"], "repositories_analyzed": number, "docs_reviewed": number, "search_date": "YYYY-MM-DD" }, "repositories": [ { "citation": "Full citation with URL and access date", "platform": "github|gitlab|bitbucket", "access_method": "public|private_gh|private_git", "stats": { "stars": number, "forks": number, "contributors": number, "last_updated": "YYYY-MM-DD", "last_release": "version and date", "update_frequency": "active|moderate|sporadic" }, "key_features": ["feature1", "feature2"], "architecture": "Brief architecture description", "code_quality": { "testing": "comprehensive|adequate|minimal|none", "documentation": "excellent|good|fair|poor", "maintenance": "active|moderate|minimal|abandoned", "last_meaningful_update": "YYYY-MM-DD" }, "version_info": { "current_version": "X.Y.Z", "release_date": "YYYY-MM-DD", "breaking_changes": "recent breaking changes if any" }, "usage_example": "Brief code snippet or usage pattern", "limitations": ["limitation1", "limitation2"], "alternatives": ["Similar project 1", "Similar project 2"] } ], "technical_insights": { "common_patterns": ["Pattern observed across implementations"], "best_practices": ["Recommended approaches as of [date]"], "pitfalls": ["Common issues to avoid"], "emerging_trends": ["New approaches or technologies gaining traction"] }, "implementation_recommendations": [ { "scenario": "Use case description", "recommended_solution": "Specific implementation", "version_recommendation": "Use version X.Y for stability", "rationale": "Why this is recommended", "future_considerations": "Upcoming changes to watch" } ], "community_insights": { "popular_solutions": ["Most adopted approaches currently"], "controversial_topics": ["Debated aspects"], "expert_opinions": ["Notable developer insights"], "recent_discussions": ["Hot topics in past 3-6 months"] }, "temporal_analysis": { "adoption_trend": "growing|stable|declining", "maintenance_health": "actively maintained|maintained|unmaintained", "ecosystem_maturity": "emerging|maturing|mature|legacy", "recommendation_validity": "How long these recommendations likely remain valid" } }

Read the full file on GitHub · 160 lines

Changes

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.

  1. 1mo ago First seen · 160 lines · 56 tokens per session scan A 81bfc72ff0d2

Subscribe to this mod's changes

technical-researcher is an agent published in the GitHub repository nodnarbnitram/claude-code-extensions (16 stars, last pushed 6mo ago), licensed MIT. It adds 56 tokens to every session and 1,461 once invoked, about $0.0002 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 2026-09-03.

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