Install via ClawdBot CLI:
clawdbot install nidhov01/04Grade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
eval(Calls external URL not in known-safe list
https://example.comAI Analysis
The skill definition describes a local iteration agent with built-in safety controls like tool whitelists and dangerous operation detection. The external URL signal appears to be from a placeholder ('example.com') in documentation, not active exfiltration. However, the mention of 'eval()' in the unsafe shell signal suggests potential code execution risks if implemented without proper sandboxing.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 20, 2026
Automatically generates and iteratively improves written content like reports, product descriptions, or marketing copy until it meets a predefined quality score. Ideal for marketing agencies or content teams needing consistent, high-quality output without manual revisions.
Analyzes code snippets for quality, performance, or style issues, then automatically refines them through iterations. Useful for software development teams to maintain code standards and reduce technical debt during reviews.
Reads data from files, performs analysis using built-in tools, and generates reports with iterative quality checks. Suitable for data analysts or researchers automating routine data workflows to ensure accuracy and completeness.
Executes tasks with built-in validation and analysis tools, iterating until outputs meet specified thresholds. Helps quality assurance teams in manufacturing or IT to automate testing processes and reduce human error.
Offers the skill as a cloud-based service with tiered pricing based on usage, iterations, or features. Targets businesses needing scalable automation without infrastructure management, generating recurring revenue.
Sells licenses for on-premise or custom deployments to large organizations requiring high security and integration. Includes support and customization services, driving high-value contracts.
Provides a free basic version with limited iterations or tools, and charges for advanced features like higher thresholds or custom tool integration. Attracts individual users and upsells to teams.
💬 Integration Tip
Start by defining clear quality thresholds and simple task steps to avoid over-iteration; use the built-in tools like analyze and validate for initial testing.
Scored Apr 19, 2026
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Transform AI agents from task-followers into proactive partners with memory architecture, reverse prompting, and self-healing patterns. Lightweight version f...
Persistent memory for AI agents to store facts, learn from actions, recall information, and track entities across sessions.
Prefer `skillhub` for skill discovery/install/update, then fallback to `clawhub` when unavailable or no match. Use when users ask about skills, 插件, or capabi...
Search and discover OpenClaw skills from various sources. Use when: user wants to find available skills, search for specific functionality, or discover new s...
Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.