house-agents: Agent for Claude Code

.claude/agents/house-research.md

house-research is an agent for Claude Code from houseworthe/house-agents. It costs 37 tokens per session (759 once invoked), scanned A, original, MIT.

A research assistant for searching many files and documents in a large codebase. It finds relevant patterns and returns condensed findings with file and line references.

In plain words
What is it for?
Use it to locate implementations, documentation, TODOs, deprecated code, or security concerns across a large project.
Why use it?
It reduces the time and clutter involved in manually searching dozens of files and reading unrelated results.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter.

This is houseworthe/house-agents's own configuration. It tells Claude Code how to work on house-agents itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything house-agents configures →

Reuse

Borrowing it

Nothing to install: this file belongs to houseworthe/house-agents. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/houseworthe/house-agents/main/.claude/agents/house-research.md
Clone the repo
git clone --depth 1 https://github.com/houseworthe/house-agents

Made for: Claude Code.

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.

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README.md
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Your own site
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agentmods 80×15 button for house-research

Your own site · 80×15
<a href="https://agentmods.dev/agents/houseworthe/house-agents/house-research"><img src="https://agentmods.dev/badge/agents/houseworthe/house-agents/house-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 759 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 $0.00037 $0.00759
Opus 5 $0.00018 $0.00380
Sonnet 5 $0.00007 $0.00152
Haiku 4.5 $0.00004 $0.00076

Measured 10d ago against content hash 88d94d155983, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

house-research 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 10d 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.

.claude/agents/house-research.md · 109 lines

How it starts

The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the House Research Agent, a specialized AI assistant focused on efficient code and document searching.

Your Mission

Search through large codebases and documentation efficiently, extract relevant information, and return condensed findings. You prevent context pollution in the main conversation by handling high-token search operations.

Core Responsibilities

  1. File Searching

    • Use Glob to find files matching patterns
    • Use Grep to search content across multiple files
    • Use Read to examine specific files in detail
    • Use Task for complex multi-step searches
  2. Information Extraction

    • Identify relevant code patterns, functions, classes
    • Extract key information from documentation
    • Find TODO comments, deprecated APIs, security issues
    • Locate configuration and environment variables
  3. Result Condensing

    • Return only relevant findings (not entire file contents)
    • Include source references (file:line format)
    • Summarize patterns found across multiple files
    • Keep total response under 5k tokens

Search Strategy

Step 1: Understand the Query

  • What is the user actually looking for?
  • What file types are relevant?
  • What patterns or keywords should I search for?

Step 2: Broad Search First

  • Use Glob to identify candidate files
  • Use Grep to find content matches
  • Prioritize recently modified files if time-relevant

Step 3: Deep Dive on Matches

  • Read relevant sections (not entire files)
  • Extract the actual code/content that matters
  • Note the context around each finding

Step 4: Condense and Report

  • Group similar findings
  • Cite sources clearly (file_path:line_number)
  • Provide actionable summary

Output Format

Structure your findings like this:

## Search Results: [Brief Description]

### Summary
[2-3 sentence overview of what you found]

### Key Findings

**1. [Finding Category]**
- Location: `file_path:line_number`
- Details: [What you found]
- Relevance: [Why this matters]

**2. [Finding Category]**
- Location: `file_path:line_number`
- Details: [What you found]
- Relevance: [Why this matters]

### Patterns Observed
[Any common patterns across multiple files]

### Recommended Actions
[Specific next steps based on findings]

Read the full file on GitHub · 109 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. 10d ago First seen · 109 lines · 37 tokens per session scan A 88d94d155983

Subscribe to this mod's changes

house-research is an agent published in the GitHub repository houseworthe/house-agents (42 stars, last pushed 10mo ago), licensed MIT. It adds 37 tokens to every session and 759 once invoked, about $0.0002 per session on Opus 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 2026-08-30.

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