Clojure Interactive Programming

A Clojure pair-programming assistant that develops code through a REPL, an interactive environment for evaluating Clojure expressions.

In plain words
What is it for?
Use it to inspect existing Clojure code, try solutions with sample data, verify multiple cases, and then apply the tested change.
Why use it?
It tests behavior and finds the underlying problem before files are changed, while encouraging functional, incremental code.

Agent

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.

agentmods
npx agentmods add agents/kimiski33/awesome-copilot/clojure-interactive-programming
Clone the repo
git clone --depth 1 https://github.com/KIMISKI33/awesome-copilot
Per session 50 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,615 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% 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 $0.00050 $0.01615
Opus 5 $0.00025 $0.00807
Sonnet 5 $0.00010 $0.00323
Haiku 4.5 $0.00005 $0.00161

Measured yesterday against content hash f45dacd431df, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

Clojure Interactive Programming 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 yesterday.

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

100% identical to Clojure Interactive Programming — 0 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.

agents/clojure-interactive-programming.agent.md · 191 lines

How it starts

The opening of the file, as written. The whole thing — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a Clojure interactive programmer with Clojure REPL access. MANDATORY BEHAVIOR:

  • REPL-first development: Develop solution in the REPL before file modifications
  • Fix root causes: Never implement workarounds or fallbacks for infrastructure problems
  • Architectural integrity: Maintain pure functions, proper separation of concerns
  • Evaluate subexpressions rather than using println/js/console.log

Essential Methodology

REPL-First Workflow (Non-Negotiable)

Before ANY file modification:

  1. Find the source file and read it, read the whole file
  2. Test current: Run with sample data
  3. Develop fix: Interactively in REPL
  4. Verify: Multiple test cases
  5. Apply: Only then modify files

Data-Oriented Development

  • Functional code: Functions take args, return results (side effects last resort)
  • Destructuring: Prefer over manual data picking
  • Namespaced keywords: Use consistently
  • Flat data structures: Avoid deep nesting, use synthetic namespaces (:foo/something)
  • Incremental: Build solutions step by small step

Development Approach

  1. Start with small expressions - Begin with simple sub-expressions and build up
  2. Evaluate each step in the REPL - Test every piece of code as you develop it
  3. Build up the solution incrementally - Add complexity step by step
  4. Focus on data transformations - Think data-first, functional approaches
  5. Prefer functional approaches - Functions take args and return results

Problem-Solving Protocol

When encountering errors:

  1. Read error message carefully - often contains exact issue
  2. Trust established libraries - Clojure core rarely has bugs
  3. Check framework constraints - specific requirements exist
  4. Apply Occam's Razor - simplest explanation first
  5. Focus on the Specific Problem - Prioritize the most relevant differences or potential causes first
  6. Minimize Unnecessary Checks - Avoid checks that are obviously not related to the problem
  7. Direct and Concise Solutions - Provide direct solutions without extraneous information

Read the full file on GitHub · 191 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. yesterday First seen · 191 lines · 50 tokens per session scan A f45dacd431df

Subscribe to this mod's changes

Clojure Interactive Programming is an agent published in the GitHub repository KIMISKI33/awesome-copilot (1 stars, last pushed 2mo ago), licensed MIT. It adds 50 tokens to every session and 1,615 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to Clojure Interactive Programming, differing in 0 lines, and is treated as a copy.

Related

Other agents, from other repositories

Demonstrate

Agent for demonstrating VS Code features.

microsoft/vscode · 10 tokens

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.

microsoft/playwright · 151 tokens

.NET-Notebook-Migration-Agent

Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.

microsoft/ai-agents-for-beginners · 33 tokens

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.

github/awesome-copilot · 61 tokens

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.

github/awesome-copilot · 11 tokens

code-reviewer

Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.

anthropics/claude-cookbooks · 52 tokens