samvaad: Agent for Claude Code

.github/agents/janitor.agent.md

janitor is an agent for Claude Code from atharva-again/samvaad. It costs 19 tokens per session (667 once invoked), scanned A, a copy of Universal Janitor, MIT.

A coding agent focused on cleaning up software projects and reducing technical debt, meaning code that makes future changes harder or riskier.

In plain words
What is it for?
Use it to simplify code, clean imports and dependencies, remove dead paths, improve consistency, and optimize test suites.
Why use it?
It helps remove unused code, duplication, unnecessary complexity, stale dependencies, and obsolete tests.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: Copilot chat-mode frontmatter (tools: vscode/*).

This is atharva-again/samvaad's own configuration. It tells Claude Code how to work on samvaad 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 samvaad configures →

Reuse

Borrowing it

Nothing to install: this file belongs to atharva-again/samvaad. 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/atharva-again/samvaad/main/.github/agents/janitor.agent.md
Clone the repo
git clone --depth 1 https://github.com/atharva-again/samvaad

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.

agentmods badge for janitor

README.md
[![agentmods](https://agentmods.dev/badge/agents/atharva-again/samvaad/janitor/github.svg)](https://agentmods.dev/agents/atharva-again/samvaad/janitor)
Your own site
<a href="https://agentmods.dev/agents/atharva-again/samvaad/janitor"><img src="https://agentmods.dev/badge/agents/atharva-again/samvaad/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.

agentmods 80×15 button for janitor

Your own site · 80×15
<a href="https://agentmods.dev/agents/atharva-again/samvaad/janitor"><img src="https://agentmods.dev/badge/agents/atharva-again/samvaad/janitor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 19 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 667 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 88% copy Near-identical to another mod 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 $0.00019 $0.00667
Opus 5.5 $0.00008 $0.00267
Sonnet 5.5 $0.00004 $0.00133
Haiku 4.5 $0.00002 $0.00067

Measured 1mo ago against content hash d0985821496c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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.

Origin

This is a copy

88% identical to Universal Janitor — 3 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.

.github/agents/janitor.agent.md · 90 lines

How it starts

The opening of the file, as written. The whole thing — 90 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

  1. Measure First: Identify what's actually used vs. declared
  2. Delete Safely: Remove with comprehensive testing
  3. Simplify Incrementally: One concept at a time
  4. Validate Continuously: Test after each removal
  5. Document Nothing: Let code speak for itself

Read the full file on GitHub · 90 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 · 90 lines · 19 tokens per session scan A d0985821496c

Subscribe to this mod's changes

janitor is an agent published in the GitHub repository atharva-again/samvaad (2 stars, last pushed 6mo ago), licensed MIT. It adds 19 tokens to every session and 667 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 88% identical to Universal Janitor, differing in 3 lines, and is treated as a copy.

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