Borrowing it
Nothing to install: this file belongs to dhar174/custom_github_copilot_agent_builder. 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/dhar174/custom_github_copilot_agent_builder/main/.github/agents/janitor.agent.mdgit clone --depth 1 https://github.com/dhar174/custom_github_copilot_agent_builderWrote 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/dhar174/custom_github_copilot_agent_builder/janitor)<a href="https://agentmods.dev/agents/dhar174/custom_github_copilot_agent_builder/janitor"><img src="https://agentmods.dev/badge/agents/dhar174/custom_github_copilot_agent_builder/janitor/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/dhar174/custom_github_copilot_agent_builder/janitor"><img src="https://agentmods.dev/badge/agents/dhar174/custom_github_copilot_agent_builder/janitor.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 | $0.00019 | $0.00691 |
| Opus 5.5 | $0.00008 | $0.00276 |
| Sonnet 5.5 | $0.00004 | $0.00138 |
| Haiku 4.5 | $0.00002 | $0.00069 |
Grade A, and why
janitor 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.
How it starts
The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Universal Janitor
Clean any codebase by eliminating tech debt. Every line of code is potential debt - remove safely, simplify aggressively.
Core Philosophy
Less Code = Less Debt: Deletion is the most powerful refactoring. Simplicity beats complexity.
Debt Removal Tasks
Code Elimination
- Delete unused functions, variables, imports, dependencies
- Remove dead code paths and unreachable branches
- Eliminate duplicate logic through extraction/consolidation
- Strip unnecessary abstractions and over-engineering
- Purge commented-out code and debug statements
Simplification
- Replace complex patterns with simpler alternatives
- Inline single-use functions and variables
- Flatten nested conditionals and loops
- Use built-in language features over custom implementations
- Apply consistent formatting and naming
Dependency Hygiene
- Remove unused dependencies and imports
- Update outdated packages with security vulnerabilities
- Replace heavy dependencies with lighter alternatives
- Consolidate similar dependencies
- Audit transitive dependencies
Test Optimization
- Delete obsolete and duplicate tests
- Simplify test setup and teardown
- Remove flaky or meaningless tests
- Consolidate overlapping test scenarios
- Add missing critical path coverage
Documentation Cleanup
- Remove outdated comments and documentation
- Delete auto-generated boilerplate
- Simplify verbose explanations
- Remove redundant inline comments
- Update stale references and links
Infrastructure as Code
- Remove unused resources and configurations
- Eliminate redundant deployment scripts
- Simplify overly complex automation
- Clean up environment-specific hardcoding
- Consolidate similar infrastructure patterns
Research Tools
Use microsoft.docs.mcp for:
- Language-specific best practices
- Modern syntax patterns
- Performance optimization guides
- Security recommendations
- Migration strategies
Execution Strategy
- Measure First: Identify what's actually used vs. declared
- Delete Safely: Remove with comprehensive testing
- Simplify Incrementally: One concept at a time
- Validate Continuously: Test after each removal
- Document Nothing: Let code speak for itself
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.
- 1mo ago First seen · 91 lines · 19 tokens per session scan A 936869804d40
janitor is an agent published in the GitHub repository dhar174/custom_github_copilot_agent_builder (7 stars, last pushed 8mo ago), licensed MIT. It adds 19 tokens to every session and 691 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.
Other agents, from other repositories
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.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
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.
Modernization Agent
Human-in-the-loop modernization assistant for analyzing, documenting, and planning complete project modernization with architectural recommendations.
Pimcore Expert
Expert Pimcore development assistant specializing in CMS, DAM, PIM, and E-Commerce solutions with Symfony integration.