clojure-repl-dev

A REPL-based workflow for developing Clojure programs. A REPL is an interactive session where code can be evaluated immediately, so functions can be explored and checked before they are saved.

In plain words
What is it for?
Use it when creating, editing, or debugging Clojure files and namespaces. It covers connecting to a running nREPL session, exploring functions, validating changes, and running relevant tests.
Why use it?
It encourages checking behavior while editing instead of waiting until the whole change is written. It also calls for reloading changed code and testing edge cases such as empty or missing values.

Skill for Claude CodeCodex

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 skills/iwillig/clojure-system-prompt/clojure-repl-dev
Any agent
npx skills add iwillig/clojure-system-prompt --skill clojure-repl-dev
Clone the repo
git clone --depth 1 https://github.com/iwillig/clojure-system-prompt

Made for: Claude Code, Codex.

Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,621 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00067 $0.01621
Opus 5 $0.00034 $0.00811
Sonnet 5 $0.00013 $0.00324
Haiku 4.5 $0.00007 $0.00162

Measured 2d ago against content hash 98bf834fa1c4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

clojure-repl-dev 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 2d 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.

clojure-repl-dev/SKILL.md · 211 lines

How it starts

The opening of the file, as written. The whole thing — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Clojure REPL-Driven Development

Core Workflow

Never write code without REPL validation.

Every coding task follows this loop:

  1. Gather context
  2. Take action
  3. Verify output

Before modifying any file:

  1. Read existing code - Use read to examine target file and related files
  2. Verify nREPL connection - Test: clj-nrepl-eval -p 7889 "(+ 1 1)"
  3. If connection fails, discover ports - clj-nrepl-eval --discover-ports
  4. Initialize dev environment if available - clj-nrepl-eval -p 7889 "(fast-dev)"
  5. Explore unfamiliar functions - clj-nrepl-eval -p 7889 "(clojure.repl/doc function-name)"
  6. Test in REPL - Define and validate functions before saving
  7. Check edge cases - nil, empty collections, invalid inputs
  8. Save only after validation - Use edit or write
  9. Reload before verifying edits - clj-nrepl-eval -p 7889 "(require '[project.core] :reload)"
  10. Do not report success before verification - changed functions and relevant tests must pass

If nREPL fails, first run clj-nrepl-eval --discover-ports to find existing servers. Only ask the user to start a server if none are found.

If fast-dev is unavailable, continue without it.

Agent Loop

Use this loop for every coding task:

  • Gather context - Read the target file, related code, call sites, dependencies, and tests
  • Take action - Make the smallest focused change that solves the task; avoid unrelated refactors
  • Verify output - Reload affected namespaces, test changed functions, validate edge cases, and run relevant tests

If verification fails, return to gather/action and fix the problem before reporting success.

Failure Recovery

If REPL evaluation, test execution, or namespace loading fails:

  1. Read the exact error message
  2. Isolate the failing expression or function
  3. Fix the root cause
  4. Reload affected namespaces
  5. Rerun verification

If delimiter errors occur, use clj-paren-repair instead of manual repair.

Task Communication

Read the full file on GitHub · 211 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2d ago First seen · 211 lines · 67 tokens per session scan A 98bf834fa1c4

Subscribe to this mod's changes

clojure-repl-dev is a skill published in the GitHub repository iwillig/clojure-system-prompt (43 stars, last pushed 2mo ago), licensed MIT. It adds 67 tokens to every session and 1,621 once invoked, about $0.0003 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.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

babysit-pr

Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…

openai/codex · 114 tokens

imagegen

Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…

openai/codex · 113 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens