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Huawei Cloud real-name authentication guidance (BSS): query real-name auth status and get the face-recognition QR code URL via huaweicloudsdkbss. Read-only, no identity data collected, no auth performed on the user's behalf. Use when the user asks about 实名认证 / 认证状态 / 实名 / 账号认证 / 企业认证 / 个人认证 / real-name verification / 认证二维码 / 人脸认证 / 扫码认证 on Huawei Cloud (not AWS/Azure/alibaba/other clouds).

ClawHub Agent Skills author: huaweicloudskill v1.0.0 MIT-0 13 files · 3 scripts body ≈ 1 903 tokens Open the sourceclawhub.ai↗ analyzed 7 d ago

Huawei Cloud real-name authentication guidance (BSS): query real-name auth status and get the face-recognition QR code URL via huaweicloudsdkbss.

As a process B 76/100 · Nearly there — weak spots: result and completion

ProcedureAWSAzureSoftware developmentInfrastructuretype 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
B
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
85
Run on models
none yet
Process rating
B
76/100
Nearly there
Result and completion w 14
40
Failures and branches w 10
50
Tools and files w 18
60
the three weakest of ten parameters · all ten

How to improve

    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: 13. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 76/100

    • 40Result and completion. Does not say what the result is
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 20 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1903 tokens
    • 100Running it twice. No mutating operations
    • 100Progress reporting. Reports progress

    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)
    • +3Output format is not stated: the model decides each time
    • -31 of 3 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 392: enough signal without eating the budget
    • +4Structure: 16 headings
    • +3Step-by-step instructions: 20 items
    • +4Has examples (9 code blocks)
    • +4Reference files are cited in the instructions (5 of 6)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

    External checks

    ClawHub: clean
    The skill is a disclosed, read-only Huawei Cloud helper for checking real-name authentication status and fetching a user-requested QR code.
    LLM: benign (high) · VirusTotal: · 9 Oct 2026