CtrlK
BlogDocsLog inGet started
Tessl Logo

zai-cli

Z.AI CLI providing: - Vision: image/video analysis, OCR, UI-to-code, error diagnosis (GLM-4.6V) - Search: real-time web search with domain/recency filtering - Reader: web page to markdown extraction - Repo: GitHub code search and reading via ZRead - Tools: MCP tool discovery and raw calls - Code: TypeScript tool chaining Use for visual content analysis, web search, page reading, or GitHub exploration. Requires Z_AI_API_KEY.

Install with Tessl CLI

npx tessl i github:numman-ali/n-skills --skill zai-cli
What are skills?

Overall
score

84%

Does it follow best practices?

Validation for skill structure

SKILL.md
Review
Evals

Discovery

77%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

This description is well-structured with strong specificity and completeness, clearly listing capabilities and when to use them. However, the broad scope covering multiple domains (vision, search, reading, code) creates potential overlap with more specialized skills, and some trigger terms are too technical for natural user queries.

Suggestions

Replace technical jargon (GLM-4.6V, MCP, ZRead) with user-friendly terms or add natural language alternatives users would actually say

Consider narrowing the 'Use for' clause to emphasize the unique value proposition that distinguishes this from standalone vision, search, or GitHub skills

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions across several domains: image/video analysis, OCR, UI-to-code, error diagnosis, web search with filtering, markdown extraction, GitHub code search, MCP tool discovery, and TypeScript tool chaining.

3 / 3

Completeness

Clearly answers 'what' with detailed capability list and explicitly answers 'when' with 'Use for visual content analysis, web search, page reading, or GitHub exploration.' Also notes the API key requirement.

3 / 3

Trigger Term Quality

Includes some natural terms like 'image', 'video', 'OCR', 'web search', 'GitHub', but uses technical jargon (GLM-4.6V, MCP, ZRead) and misses common user phrases like 'read webpage', 'analyze screenshot', or 'search the web'.

2 / 3

Distinctiveness Conflict Risk

While the Z.AI branding and specific tool names (GLM-4.6V, ZRead) create some distinctiveness, the broad scope covering vision, search, reading, and code could overlap with dedicated image analysis, web search, or GitHub skills.

2 / 3

Total

10

/

12

Passed

Implementation

87%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This is a well-crafted CLI reference skill that maximizes information density while remaining highly actionable. The table format for commands and concrete examples make it immediately useful. Minor weakness is the lack of troubleshooting guidance or validation steps for setup issues.

DimensionReasoningScore

Conciseness

Extremely lean and efficient. No unnecessary explanations of what CLI tools are or how npx works. Every line provides actionable information, and the table format maximizes information density.

3 / 3

Actionability

Provides fully executable, copy-paste ready commands covering all major use cases. Examples are concrete with realistic arguments (file paths, URLs, search queries) and demonstrate actual usage patterns.

3 / 3

Workflow Clarity

This is primarily a reference skill rather than a multi-step workflow, but the setup -> commands -> quick start flow is logical. However, there's no validation/verification guidance (e.g., what to do if doctor fails, how to verify API key is working).

2 / 3

Progressive Disclosure

Excellent structure with clear overview, table for quick reference, examples for common cases, and explicit pointer to advanced.md for complex features. One-level-deep reference is well-signaled.

3 / 3

Total

11

/

12

Passed

Validation

75%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation12 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

description_trigger_hint

Description may be missing an explicit 'when to use' trigger hint (e.g., 'Use when...')

Warning

metadata_version

'metadata' field is not a dictionary

Warning

license_field

'license' field is missing

Warning

body_steps

No step-by-step structure detected (no ordered list); consider adding a simple workflow

Warning

Total

12

/

16

Passed

Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.