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AF huawei-cloud-ges-graph

Provides access guide for Huawei Cloud Graph Database GES service. Covers Cypher queries, GQL queries, schema/label management, summary info queries, graph data editing and more. Use this skill when users want to operate Huawei Cloud graph database GES service via terminal.

ClawHub Agent Skills author: huaweiclouddev-dev v1.0.3 MIT-0 5 files body ≈ 3 704 tokens Open the sourceclawhub.ai↗ analyzed 19 h ago

Provides access guide for Huawei Cloud Graph Database GES service.

As a process F 54/100 · Will not run — References files that are not bundled: references/ges_env.csv.example

GeneratorWriting and documentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
83
Run on models
none yet
Process rating
F
54/100
Will not run
References files that are not bundled: references/ges_env.csv.example
Tools and files w 18
0
Progress reporting w 2
0
When it triggers w 12
20
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: huawei-cloud-ges-graph (ClawHub)

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/ges_env.csv.example
  • note frontmatter-key unknown frontmatter key "Trigger"

Process rating: all ten parameters 54/100

Will not run. References files that are not bundled: references/ges_env.csv.example
  • 0Tools and files. 1 referenced file(s) missing: references/ges_env.csv.example
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 13 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 19 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3704 tokens
  • low 10 top-level sections: this looks like several domains in one skill

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +1No license
  • +2Single-language instructions
  • +3Description length 274: enough signal without eating the budget
  • +4Structure: 28 headings
  • +3Step-by-step instructions: 19 items
  • +3Output format is stated explicitly
  • +4Has examples (15 code blocks)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

External checks

ClawHub: suspicious
This skill is a real Huawei Cloud GES/OBS operator with credential use and destructive cloud actions, but its safeguards and transport security are not strong enough for automatic agent use.
LLM: suspicious (high) · 6 Aug 2026