Agent skill

Gauntlet Curate

by athola in athola/claude-night-market

Audits the DSA problem bank for coverage gaps and proposes new YAML entries.

MITAuto-check passedTesting & QA

Install Gauntlet Curate

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

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

GitHub CLI
$ gh skill install athola/claude-night-market gauntlet-curate --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/gauntlet-curate .claude/skills/gauntlet-curate && 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
gauntlet-curate
GitHub stars
341
Token cost
~1.1k tokens
SKILL.md length
413 words
Files
1
Skills in repo
152
Repo updated
First seen
Licence
MIT

At a glance

Audits the DSA problem bank for coverage gaps and proposes new YAML entries.

  • Works in 7 steps: Locate the problem bank at… → Survey current coverage by counting… → Identify gaps: categories whose actual… → …
  • Refreshing the problem bank during update-plugins runs
  • SKILL.md covers When NOT To Use, When This Skill Fires, Steps and Problem Schema, plus 3 more sections
  • Calls python

What it does

Gauntlet Curate is an agent skill from athola/claude-night-market. Audits the DSA problem bank for coverage gaps and proposes new YAML entries. Use when refreshing the problem bank during update-plugins runs.

Its SKILL.md is about 1.1k 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 Testing & QA, covering Test coverage. 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

  • Refreshing the problem bank during update-plugins runs
  • Tasks that involve Test coverage

Example prompts

  • “Use the gauntlet-curate skill to audit the DSA problem bank for coverage gaps and proposes new YAML entries”
  • “/gauntlet-curate”

Requirements

  • Python 3

Workflow steps

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

  1. Locate the problem bank at plugins/gauntlet/data/problems/.
  2. Survey current coverage by counting problems in each YAML
  3. Identify gaps: categories whose actual count falls below
  4. Review existing problems in each gap category to understand
  5. Propose new YAML entries following the schema below.
  6. Validate proposals by running
  7. Present the report to the human for review.

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

    Shell commands in SKILL.md call:

    • 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

Gauntlet Curate loads about 1.1k tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 413 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
~1.1k

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). 413 words, ~1,052 tokens.

Download SKILL.mdSave it as .claude/skills/gauntlet-curate/SKILL.md (or your agent's skills folder).
name
gauntlet-curate
description
Audits the DSA problem bank for coverage gaps and proposes new YAML entries. Use when refreshing the problem bank during update-plugins runs.
model_hint
standard

Gauntlet Curate

Survey the DSA problem bank, identify coverage gaps, and propose new YAML entries for human review.

When NOT To Use

  • Annotating this codebase rather than the problem bank (use gauntlet:curate)
  • Rebuilding the knowledge base (use gauntlet:extract)

When This Skill Fires

Invoke this skill manually with Skill(gauntlet:gauntlet-curate) when the problem bank needs a coverage review. The skill is intended to participate in /update-plugins runs but is not yet wired into that command (see openpackage.yml registration). It is distinct from gauntlet:curate, which handles per-annotation knowledge capture and is what /gauntlet-curate invokes today.

Steps

  1. Locate the problem bank at plugins/gauntlet/data/problems/. Read _manifest.yaml to load the expected NeetCode counts per category.

  2. Survey current coverage by counting problems in each YAML file (skipping _manifest.yaml). Run the analysis script:

    bash
    cd plugins/gauntlet
    python scripts/curate_problems.py data/problems/ --output /tmp/gauntlet-curate-report.md
  3. Identify gaps: categories whose actual count falls below the neetcode_count in the manifest. The script sorts gaps largest-first so the worst shortfalls appear at the top.

  4. Review existing problems in each gap category to understand what is already covered before proposing additions.

  5. Propose new YAML entries following the schema below. Add proposals to the report under "Proposed New Problems". Do NOT write proposals directly into data/problems/*.yaml.

  6. Validate proposals by running:

    bash
    python -c "
    import yaml, sys
    sys.path.insert(0, 'src')
    from gauntlet.models import BankProblem
    proposals = yaml.safe_load(open('proposals.yaml'))
    for p in proposals:
        BankProblem.from_dict(p)
    print('All proposals valid.')
    "
  7. Present the report to the human for review. The report includes the coverage table, gap list, and proposed entries. The human decides which proposals to merge into the YAML files.

Show full SKILL.md (181 more words)Show less

Problem Schema

Each proposed entry must follow this schema:

yaml
- id: category-NNN
  title: Problem Title
  difficulty: easy       # easy | medium | hard | extra_hard
  prompt: |
    Problem statement with constraints and examples.
  hints:
    - First hint.
    - Second hint.
  solution_outline: |
    Approach and time/space complexity.
  tags: [tag1, tag2]
  neetcode_id: neetcode-NNN
  challenge_type: explain_why  # explain_why | multiple_choice | trace
                                # | code_complete | debug | rank

Required fields: id, title, difficulty, prompt. Optional fields default to empty values.

Safety Constraints

  • Never modify files under data/problems/ directly.
  • Never run with a --write or --fix flag: the script intentionally has none.
  • All output is a proposal report for human approval.
  • Existing hand-curated problems are never touched.

Output

A markdown report at the path specified by --output, containing:

  • Coverage summary table (expected vs. actual per category)
  • Gaps list sorted by missing count
  • YAML schema template for new proposals
  • Space for the human reviewer to add proposed entries

Human review is required before any YAML file changes.

Exit Criteria

  • Script runs without error and produces a markdown report at the path given to --output (e.g., /tmp/gauntlet-curate-report.md)
  • Report contains a coverage summary table comparing expected neetcode_count versus actual count for every category in _manifest.yaml, with gaps sorted largest-first
  • No files under plugins/gauntlet/data/problems/ are modified; all proposals appear only in the report under "Proposed New Problems"
  • Every proposed YAML entry passes BankProblem.from_dict() validation (required fields: id, title, difficulty, prompt) before appearing in the report

© 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/gauntlet-curate of athola/claude-night-market.

Open the folder on GitHubat commit 9f3eb00

Compare with similar skills

Gauntlet Curate 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.

Gauntlet Curate compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Gauntlet Curate this skillathola/claude-night-market341—~1.1kAutomated safety check: PassMIT
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Crap Analysisardalis/RiverBooks1352 repos~3.4kAutomated safety check: PassNone
Bmad Testarch Automatechenjackle45/SayIt1152 repos~867Automated safety check: PassMIT
Code Coverages3s-project/s3s311—~789Automated safety check: PassApache-2.0
Project Statusbactopia/bactopia522—~787Automated safety check: PassMIT

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Categories

Questions about Gauntlet Curate

What does Gauntlet Curate do?

Audits the DSA problem bank for coverage gaps and proposes new YAML entries. Gauntlet Curate is an agent skill from athola/claude-night-market. Audits the DSA problem bank for coverage gaps and proposes new YAML entries.

When should I use Gauntlet Curate?

Gauntlet Curate fits situations like: refreshing the problem bank during update-plugins runs; tasks that involve Test coverage.

How do I install Gauntlet Curate in Claude Code?

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

How do I install Gauntlet Curate in Codex?

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

Can I use Gauntlet Curate 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 gauntlet-curate -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gauntlet-curate, .gemini/skills/gauntlet-curate, .github/skills/gauntlet-curate and .opencode/skills/gauntlet-curate in your project.

What does Gauntlet Curate need to run?

Going by SKILL.md and its folder, Gauntlet Curate needs the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Gauntlet Curate 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 Gauntlet Curate 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 Gauntlet Curate use?

Gauntlet Curate 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 Gauntlet Curate use?

About 1.1k tokens (SKILL.md is roughly 4.2k 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 Gauntlet Curate?

Skills that share tags, products or a category with Gauntlet Curate: Requirements (rizsotto/Bear, 6.5k stars), Crap Analysis (ardalis/RiverBooks, 135 stars), Bmad Testarch Automate (chenjackle45/SayIt, 115 stars) and Code Coverage (s3s-project/s3s, 311 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Gauntlet Curate?

athola (a GitHub user) maintains it in athola/claude-night-market, which has 341 GitHub stars. The repository holds 152 skills in this directory. The repository was last updated on October 9, 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.