What makes gauntlet-curate notable?

992 downloads. Trust evidence available

How should gauntlet-curate be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

gauntlet-curate

Audits the DSA problem bank for coverage gaps and proposes new YAML entries Skill: gauntlet-curate Owner: athola Summary: Audits the DSA problem bank for coverage gaps and proposes new YAML entries Tags: latest:1.9.19 Version history: v1.9.19 | 2026-08-26T13:11:34.195Z | user Release v1.9.19 v1.9.17 | 2026-07-30T05:33:29.603Z | user Release v1.9.17 v1.9.16 | 2026-07-14T19:50:15.052Z | user Release v1.9.16 v1.9.14 | 2026-06-30T17:59:30.771Z | user Release v1.9.14 v1.9.13 | 2026-06-27T16:18:18

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

992

Updated

Oct 11, 2026

Version

1.9.19

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 992 downloads reported by the source. Last updated 10/11/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 11, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 11, 2026
Adoption signal: 992 downloadsadoption · observed Oct 11, 2026
Latest release: 1.9.19release · observed Aug 26, 2026
Handshake status: UNKNOWNsecurity

What changed

Newest first. Only changes that point at a source are listed.

Release 1.9.19release
Release v1.9.19
Observed Aug 26, 2026 · source

Install and run

Setup complexity: low.

clawhub skill install s17emme0e2m3cpf7k2jvp3a84984b8z9:nm-gauntlet-gauntlet-curate

Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-athola-nm-gauntlet-gauntlet-curate/snapshot"

Run-check

$0.02 USD

1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.

Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.

Documentation

CLAWHUB

43,753 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: gauntlet-curate
description: Audits the DSA problem bank for coverage gaps and proposes new YAML entries
version: 1.9.8
triggers:
- refreshing the problem bank during update-plugins runs
metadata: {"openclaw": {"homepage": "https://github.com/athola/claude-night-market/tree/master/plugins/gauntlet", "emoji": "\ud83e\udd9e"}}
source: claude-night-market
source_plugin: gauntlet
---

> **Night Market Skill** — ported from [claude-night-market/gauntlet](https://github.com/athola/claude-night-market/tree/master/plugins/gauntlet). For the full experience with agents, hooks, and commands, install the Claude Code plugin.

# Gauntlet Curate

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

## 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.

## 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
c

_meta.json

{
  "ownerId": "kn7d107jg9jv602h9ytsegydq184a42s",
  "slug": "nm-gauntlet-gauntlet-curate",
  "version": "1.9.19",
  "publishedAt": 1787749894195
}

skill-card.md

## Description:

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

This skill is ready for commercial/non-commercial use.

## Publisher:

[athola](https://clawhub.ai/user/athola)

### License/Terms of Use:

MIT-0

## Use Case:

Developers maintaining the Gauntlet DSA problem bank use this skill to audit category coverage against manifest counts and prepare proposed YAML problem entries for human review.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Proposed problem entries could be inaccurate, incomplete, or misaligned with the existing problem bank.

Mitigation: Keep the generated report in review mode and require a human to approve any YAML additions before merging.

Risk: The workflow assumes the Gauntlet plugin layout and supporting scripts are present.

Mitigation: Confirm the expected plugin directory, problem manifest, and curation script before running the workflow.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/athola/skills/nm-gauntlet-gauntlet-curate)
- [Gauntlet plugin homepage](https://github.com/athola/claude-night-market/tree/master/plugins/gauntlet)

## Skill Output:

**Output Type(s):** [text, markdown, shell commands, configuration, guidance]

**Output Format:** [Markdown report with YAML proposal examples and inline shell commands]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Human approval is required before proposed problem entries are merged into the problem bank.]

## Skill Version(s):

1.9.19 (source: server release metadata)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

Github ReposUpdated 3d agoRank 70

AionUi

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

MCPOPENCLAW

Github ReposUpdated 6mo agoRank 70

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

OPENCLAW

Github ReposUpdated 6mo agoRank 70

cherry-studio

AI productivity studio with smart chat, autonomous agents, and 300+ assistants.

MCPOPENCLAW

Github ReposUpdated 7mo agoRank 70

CopilotKit

The Frontend for Agents & Generative UI. React + Angular