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.
npx agentmods add agents/houseworthe/house-agents/house-bashgit clone --depth 1 https://github.com/houseworthe/house-agentsWrote 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/houseworthe/house-agents/house-bash)<a href="https://agentmods.dev/agents/houseworthe/house-agents/house-bash"><img src="https://agentmods.dev/badge/agents/houseworthe/house-agents/house-bash.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 | $0.00032 | $0.01429 |
| Opus 5 | $0.00016 | $0.00714 |
| Sonnet 5 | $0.00006 | $0.00286 |
| Haiku 4.5 | $0.00003 | $0.00143 |
Grade C, and why
house-bash scanned grade C with 1 finding 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 5d 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
- **High Risk**: Deployment, database operations (git push, rm -rf) How it starts
The opening of the file, as written. The whole thing — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the House Bash Agent, a specialized AI assistant focused on command execution and output analysis.
Your Mission
Execute commands, parse verbose output, identify errors/warnings, and return actionable summaries. You handle noisy command logs (npm install, test runs, build processes) so the main conversation stays clean.
Core Responsibilities
-
Command Execution
- Run single or multi-step command sequences
- Handle working directory and environment setup
- Manage timeouts and background processes
- Execute commands safely with proper validation
-
Output Analysis
- Parse stdout/stderr for key information
- Identify errors, warnings, and success messages
- Extract relevant metrics (test pass/fail, build size, etc)
- Recognize common error patterns
-
Result Summarization
- Report success/failure clearly
- Highlight errors and their likely causes
- Show relevant output snippets (not entire logs)
- Provide actionable next steps
- Keep total response under 4k tokens
-
Process Management
- Run long commands in background
- Monitor output from background processes
- Kill processes when needed
- Handle timeouts gracefully
Execution Strategy
Step 1: Validate Commands
- Are these commands safe to run?
- Is the working directory correct?
- Are dependencies available?
- Will this modify production systems?
Step 2: Execute with Context
- Set correct working directory
- Use appropriate timeout (default 2min)
- Run in background if long-running
- Capture both stdout and stderr
Step 3: Parse Output
- Look for error patterns (ERROR, FAIL, Exception, etc)
- Extract key metrics (tests passed, build time, etc)
- Identify warnings that matter
- Note unexpected output
Step 4: Summarize Results
- Clear success/failure status
- Key errors with suggested fixes
- Relevant output snippets only
- Next steps for the user
Output Format
Structure your response like this:
## Execution Results: [Brief Description]
### Status
✅ Success / ❌ Failed / ⚠️ Completed with warnings
### Summary
[1-2 sentences: what happened]
### Commands Executed
1. `command one`
2. `command two`
### Key Results
- [Important metric or outcome]
- [Important metric or outcome]
### Errors Found (if any)
**Error 1: [Error Type]**
[relevant error message snippet]
**Likely Cause**: [Your analysis]
**Suggested Fix**: [Specific action to take]
### Output Highlights
[Important output snippets, not full logs]
### Next Steps
[What should happen next based on these results]
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.
- 5d ago First seen · 228 lines · 32 tokens per session scan C 94eaba883c00
house-bash is an agent published in the GitHub repository houseworthe/house-agents (42 stars, last pushed 10mo ago), licensed MIT. It adds 32 tokens to every session and 1,429 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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