Agent skill

Challenge

by athola in athola/claude-night-market

Presents adaptive codebase challenge questions with multiple-choice and trace exercises.

MITAuto-check passedEducation

Install Challenge

skills CLI
$ npx skills add athola/claude-night-market --skill challenge -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install athola/claude-night-market challenge --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/athola/claude-night-market.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/gauntlet/skills/challenge .claude/skills/challenge && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
challenge
GitHub stars
341
Token cost
~592 tokens
SKILL.md length
266 words
Files
1
Skills in repo
154
Repo updated
First seen
Licence
MIT

At a glance

Presents adaptive codebase challenge questions with multiple-choice and trace exercises.

  • Works in 8 steps: Load state: read… → Check for pending challenge: if → Generate challenge: use adaptive… → …
  • Testing contributor knowledge of the codebase
  • SKILL.md covers When NOT To Use, In-Loop Provider Setup, Steps and Scoring, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Challenge is an agent skill from athola/claude-night-market. Presents adaptive codebase challenge questions with multiple-choice and trace exercises. Use when testing contributor knowledge of the codebase.

Its SKILL.md is about 590 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Education, covering Quizzes and assessments. The repository describes itself as: 23 Claude Code plugins: TDD enforcement hooks, git/PR workflows, spec-driven development, code review, project lifecycle, fix-from-error, maintenance automation, context… The licence is MIT.

When your agent uses it

  • Testing contributor knowledge of the codebase
  • Tasks that involve Quizzes and assessments

Example prompts

  • “Use the challenge skill to present adaptive codebase challenge questions with multiple-choice and trace exercises”
  • “/challenge”

Requirements

  • Python 3

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  1. Load state: read .gauntlet/knowledge.json and developer
  2. Check for pending challenge: if
  3. Generate challenge: use adaptive weighting to select a
  4. Present challenge: show the question with context
  5. Evaluate answer: score the response (pass/partial/fail)
  6. Record result: update developer progress and streak
  7. On pass: write pass token if from pre-commit gate. Show
  8. On fail: show correct answer with explanation. Present a

What it can do on your machine

Read from SKILL.md and the folder at commit 9f3eb00. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are python).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Challenge loads about 592 tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 266 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~39
When it runs · the whole SKILL.md, loaded when a task matches
~592

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from athola/claude-night-market at commit 9f3eb00, republished under its MIT licence (© athola). 266 words, ~592 tokens.

Download SKILL.mdSave it as .claude/skills/challenge/SKILL.md (or your agent's skills folder).
name
challenge
description
Presents adaptive codebase challenge questions with multiple-choice and trace exercises. Use when testing contributor knowledge of the codebase.
model_hint
standard

Run Gauntlet Challenge

Present challenges from the knowledge base and evaluate answers.

When NOT To Use

  • The knowledge base does not exist yet (use gauntlet:extract)
  • A staged path for a new contributor (use gauntlet:onboard)

In-Loop Provider Setup

Before generating a challenge, register the in-loop variation provider so we do not call out to the Anthropic API just to spawn a sibling Claude (issue #464). Outside Claude Code this is a no-op and the default Anthropic provider remains active.

python
from gauntlet.providers.in_loop import (
    register_in_loop_provider_if_inside_claude_code,
)
register_in_loop_provider_if_inside_claude_code()

Steps

  1. Load state: read .gauntlet/knowledge.json and developer progress

  2. Check for pending challenge: if .gauntlet/state/pending_challenge.json exists, evaluate the developer's most recent message as an answer before generating a new one

  3. Generate challenge: use adaptive weighting to select a knowledge entry and challenge type

  4. Present challenge: show the question with context

  5. Evaluate answer: score the response (pass/partial/fail)

  6. Record result: update developer progress and streak

  7. On pass: write pass token if from pre-commit gate. Show next challenge if in session.

  8. On fail: show correct answer with explanation. Present a new challenge.

Scoring

ResultScoreStreak
Pass1.0+1
Partial0.5reset
Fail0.0reset

Exit Criteria

  • .gauntlet/knowledge.json exists and is readable before a challenge is generated; if missing, the skill surfaces the error and suggests running gauntlet:extract
  • Each challenge attempt results in a score (1.0/0.5/0.0) written to the developer's progress store and a streak update applied
  • .gauntlet/state/pending_challenge.json is evaluated before generating a new challenge when it exists; the file is removed or updated after evaluation
  • On fail, the correct answer and explanation are shown before the next challenge is presented (not skipped silently)

© athola, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/gauntlet/skills/challenge of athola/claude-night-market.

Open the folder on GitHubat commit 9f3eb00

Compare with similar skills

Challenge next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Challenge compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Challenge this skillathola/claude-night-market341—~592Automated safety check: PassMIT
DeepTutor CLIHKUDS/DeepTutor41k—~2.8kAutomated safety check: PassApache-2.0
AI Engineering Placement Quizrohitg00/ai-engineering-from-scratch66k—~2kAutomated safety check: PassMIT
Codebase to Coursezarazhangrui/codebase-to-course5.7k—~4.4kAutomated safety check: PassNone
AI Engineering Phase Quizrohitg00/ai-engineering-from-scratch66k—~2.1kAutomated safety check: PassMIT
Scholar EvaluationK-Dense-AI/claude-scientific-writer2.4k2 repos~2.9kAutomated safety check: NotesMIT

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Categories

Questions about Challenge

What does Challenge do?

Presents adaptive codebase challenge questions with multiple-choice and trace exercises. Challenge is an agent skill from athola/claude-night-market. Presents adaptive codebase challenge questions with multiple-choice and trace exercises.

When should I use Challenge?

Challenge fits situations like: testing contributor knowledge of the codebase; tasks that involve Quizzes and assessments.

How do I install Challenge in Claude Code?

Run `npx skills add athola/claude-night-market --skill challenge -a claude-code`. Or copy the skill folder (plugins/gauntlet/skills/challenge in athola/claude-night-market) into .claude/skills/challenge in your project. Claude Code loads it when a task matches its description.

How do I install Challenge in Codex?

Run `npx skills add athola/claude-night-market --skill challenge -a codex`. Or copy the skill folder (plugins/gauntlet/skills/challenge in athola/claude-night-market) into .agents/skills/challenge in your project. Codex loads it when a task matches its description.

Can I use Challenge in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add athola/claude-night-market --skill challenge -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/challenge, .gemini/skills/challenge, .github/skills/challenge and .opencode/skills/challenge in your project.

What does Challenge need to run?

SKILL.md names no scripts, command-line tools or credentials: Challenge is instructions for the agent only. Our summary lists: Python 3.

Does Challenge access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Challenge safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Challenge use?

Challenge is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Challenge use?

About 592 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Challenge?

Skills that share tags, products or a category with Challenge: DeepTutor CLI (HKUDS/DeepTutor, 41k stars), AI Engineering Placement Quiz (rohitg00/ai-engineering-from-scratch, 66k stars), Codebase to Course (zarazhangrui/codebase-to-course, 5.7k stars) and AI Engineering Phase Quiz (rohitg00/ai-engineering-from-scratch, 66k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Challenge?

athola (a GitHub user) maintains it in athola/claude-night-market, which has 341 GitHub stars. The repository holds 154 skills in this directory. The repository was last updated on October 6, 2026.

Source: athola/claude-night-market on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.