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0g-compute

0G Compute Network guide for decentralized AI inference, fine-tuning, and GPU services. Covers chatbots, image generation, speech-to-text, SDK integration (0g-serving-broker), processResponse API, broker.inference methods, CLI commands (0g-compute-cli), and account management. Use this skill for any 0G compute, 0G AI, or decentralized GPU question.

72

Quality

89%

Does it follow best practices?

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SecuritybySnyk

Medium

Suggest reviewing before use

SKILL.md
Quality
Evals
Security

Quality

Content

86%Weight 40%Scale 1-5

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

A well-structured, highly actionable skill body that leads with executable code and commands and offloads detail to clearly labeled reference files. The main improvement opportunity is adding an explicit balance-check validation step around the fund-transfer workflow and de-duplicating the processResponse snippet.

Suggestions

Add an explicit validation checkpoint to the account-management workflow (e.g., run '0g-compute-cli get-account' to confirm the balance before and after transfer-fund/retrieve-fund) to satisfy the destructive/financial-operation feedback-loop expectation.

Remove the duplicated processResponse code block — keep it only in the dedicated 'processResponse (CRITICAL)' section and reference it from the inference example to save tokens.

Add a brief 'verify response.ok before calling processResponse' guard in the inference example so the verification checkpoint only runs on successful responses.

DimensionReasoningScore

Conciseness

The body is lean and code-forward with minimal concept explanation, but the processResponse block is repeated verbatim (in the inference example and again in its own section), a minor redundancy that could be tightened.

4 / 5

Actionability

Fully executable TypeScript SDK code, concrete CLI commands with specific flags, a chatID-source table, and a troubleshooting table make the guidance copy-paste ready and cover the common cases.

5 / 5

Workflow Clarity

Sequences are clear (Quick Setup, fine-tuning 6-step summary, account flow) and processResponse is an explicit CRITICAL verification checkpoint after every response, but financial operations like transfer-fund/retrieve-fund lack an explicit pre/post balance-validation step in the workflow.

4 / 5

Progressive Disclosure

SKILL.md is a concise overview with clearly signaled, one-level-deep markdown links to real bundle files (inference.md, fine-tuning.md, account-management.md, examples/README.md), each confirmed present in the references directory.

5 / 5

Total

18

/

20

Passed

Description

92%Weight 40%Scale 1-5

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

A strong, concrete description that names the domain, enumerates specific capabilities, and provides an explicit 'Use this skill for…' trigger clause. It is distinct and unlikely to conflict with other skills; only minor trigger-synonym coverage keeps it from a perfect sweep.

DimensionReasoningScore

Specificity

Lists multiple concrete capabilities — 'chatbots, image generation, speech-to-text, SDK integration (0g-serving-broker), processResponse API, broker.inference methods, CLI commands (0g-compute-cli), and account management' — giving comprehensive coverage of the skill's actions.

5 / 5

Completeness

Explicitly answers both what ('guide for decentralized AI inference, fine-tuning, and GPU services. Covers…') and when ('Use this skill for any 0G compute, 0G AI, or decentralized GPU question.') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Good natural-term coverage with '0G compute', '0G AI', 'decentralized GPU', 'AI inference', and 'fine-tuning'; a few synonymous phrasings users might say are absent, so it sits just below comprehensive.

4 / 5

Distinctiveness Conflict Risk

A clear niche (0G Compute Network) with distinct, brand-specific triggers ('0G compute', '0G AI', 'decentralized GPU') and minimal overlap risk with unrelated skills.

5 / 5

Total

19

/

20

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 2 deeper-than-1-level

Warning

referenced_paths_exist

Referenced path issues: 2 deeper-than-1-level

Warning

Total

14

/

16

Passed

Repository
internet-court/internet-court-skill
Reviewed

Table of Contents

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