Real Skill packageSource verifiedClawHub registry

huawei-cloud-maas-tokens-usage

Query Huawei Cloud MaaS (Model as a Service) tokens usage statistics, including total tokens, prompt tokens, completion tokens, total requests, and total errors. Supports preset service, my service, and custom endpoint with time range queries (last 7/14/30 days or custom). Data source is MaaS ShowStatistics API, consistent with console. Use this skill when the user wants to: (1) query MaaS token consumption statistics, (2) check MaaS service request counts and error rates, (3) analyze token usage for preset servic…

Identity and source

Publisher attributionhuaweicloud-skills-teamregistry owner unverified by skillvetai
Functional categorySupport, Ecommerce & Customer Opsautomatically inferred · 57% rule confidence
Package forminstruction with code12 recorded files
Canonical sourceClawHub registryclawhub:huaweiclouddev:huawei-cloud-maas-tokens-usage
Open canonical source ↗

Platform declarations

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OpenClawnative officialProvenance: registry distribution

Independent structural checks

These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.

Claude Codepasses structure
Checker 0.1.0 · agent-skills-2026-08-13+claude-code-docs-2026-08-13 · 9/1/2026.claude/skills/huawei-cloud-maas-tokens-usage

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenAI Codexpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+codex-docs-2026-08-13 · 9/1/2026.agents/skills/huawei-cloud-maas-tokens-usage

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenClawpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+openclaw-docs-2026-08-13 · 9/1/2026skills/huawei-cloud-maas-tokens-usage

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

Installation and inspection

This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.

clawhub install @huaweiclouddev/huawei-cloud-maas-tokens-usage
clawhub inspect @huaweiclouddev/huawei-cloud-maas-tokens-usage --version 1.0.1

Security evidence

SkillVetAI static result: no findings detected

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Status
completed
Coverage
full text content
Files
12 / 12 inspected as text
Checked
9/1/2026, 12:43:08 PM
Scanner
0.1.3
Policy
1.0.3
4 inferred permission indicators
  • network access — automatically inferred
  • filesystem read — automatically inferred
  • credential access — automatically inferred
  • external write action — automatically inferred
3 dependency and API indicators
  • api: clawhub.ai
  • api: mirrors.huaweicloud.com
  • api: support.huaweicloud.com
External clawhub result: suspicious

This is registry-supplied evidence for the recorded release, not an independent SkillVetAI scan. Check the canonical source for the full report, scanner versions, scope, and current moderation state.

Evidence checked
9/1/2026, 9:03:38 AM
Release binding
Matches this record
  • vt: clean
  • skillspector: suspicious
  • llm: suspicious

Recorded files

The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.

Package content hashsha256:2b2c791f74edb5f387ac9748a00f41d7b4451a05b8e290eee45154dae12341d1
Show up to 12 recorded paths
  • references/acceptance-criteria.md
  • references/cli-installation-guide.md
  • references/iam-policies.md
  • references/maas-metrics.md
  • references/related-apis.md
  • references/security-design.md
  • references/task-query-tokens-usage.md
  • references/troubleshooting.md
  • references/verification-method.md
  • scripts/maas_rest_usage_stats.py
  • skill-card.md
  • SKILL.md

Source changelog

- Improves security architecture: AK/SK credentials now read only from environment variables or a credentials file, and never exposed in conversation, output, or logs. - Adds explicit list of prohibited operations with explanations, ensuring all credential-handling is performed securely in Python process memory. - Documents clear prerequisites and verification steps for environment variables, Python dependencies, and region requirements. - Outlines usage scenarios, supported query types (preset, my service, custom endpoint), and time range options with auto-segmentation. - No functional changes to API use; documentation and constraints are clarified for correctness and security.