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BB alibabacloud-flink-instance-manage

Manage Alibaba Cloud Flink VVP instances and namespaces through create/query operations only. Use when user asks to create or query Flink instances, namespaces, regions, zones, or tags in Chinese or English. Reject Flink SQL/job requests, unrelated cloud services (ECS/Kafka/OSS/DataWorks), and all update/delete operations.

ClawHub Agent Skills author: alibabacloud-skills-team v0.0.2 MIT-0 23 files body ≈ 1 485 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process B 71/100 · Nearly there — weak spots: inputs and preconditions, running it twice, progress reporting

GeneratorInfrastructuretype 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
84/100
safety, quality, tests
Safety 60%
80
Quality 40%
89
Run on models
none yet
Process rating
B
71/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Dangerous commands medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

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 · 4

    ✓ No critical or high findings

    Medium and low: 4
    • medium Dangerous commands cmd-privilege references/cli-installation-guide.md:41
      Privilege escalation / world-writable permissions
      sudo mv aliyun /usr/local/bin/
    • medium Dangerous commands cmd-privilege references/cli-installation-guide.md:56
      Privilege escalation / world-writable permissions
      sudo mv aliyun /usr/local/bin/
    • medium Dangerous commands cmd-privilege references/cli-installation-guide.md:69
      Privilege escalation / world-writable permissions
      sudo mv aliyun /usr/local/bin/
    • medium Dangerous commands cmd-privilege references/cli-installation-guide.md:82
      Privilege escalation / world-writable permissions
      sudo mv aliyun /usr/local/bin/

    Files scanned: 23. 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 71/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 33 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 100Steps. 59 steps
    • 100Result and completion. Output format and completion criterion are stated
    • 100Failures and branches. 4 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1485 tokens
    • low The response is described with custom markup (8 tags): a typed call is more reliable

    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)
    • -31 of 2 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +3Description length 324: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 59 items
    • +3Output format is stated explicitly
    • +4Has examples (2 code blocks)
    • +4Reference files are cited in the instructions (17 of 18)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.

    External checks

    ClawHub: clean
    This skill is a disclosed Alibaba Cloud Flink helper that can create billable resources, but its main runtime path is scoped and confirmation-gated.
    LLM: benign (medium) · VirusTotal: · 29 May 2026