SKILLEMALL.ai
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AB ink

Deploy and manage cloud services on Ink (ml.ink): create projects, deploy services, provision databases, manage DNS and custom domains, configure workspaces, and monitor deployments. Use this skill whenever the user mentions Ink, ml.ink, deployments, services, databases, or cloud infrastructure on Ink, even if they don't say "Ink" explicitly.

ClawHub Agent Skills author: Augustinas Malinauskas v0.1.0 MIT-0 2 files body ≈ 2 526 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process B 68/100 · Nearly there — weak spots: result and completion, inputs and preconditions, consistency

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
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
B
68/100
Nearly there
Result and completion w 14
0
Progress reporting w 2
0
Inputs and preconditions w 11
30
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: 2. 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 68/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 30Inputs and preconditions. Does not say what the process needs to start
    • 40Consistency. Frontmatter name (ink) differs from the folder (ink-skill)
    • 65Failures and branches. 3 branches
    • 100Tools and files. Tools declared in frontmatter
    • 100Steps. 16 steps
    • 100When it triggers. States when to use and when not to
    • 100Execution cost. Instruction body is 2526 tokens
    • 100Running it twice. Mutating operations check current state
    • high The skill tells the model to perform an irreversible action with no human approval

    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
    • +1No license
    • +2Single-language instructions
    • +3Description length 344: enough signal without eating the budget
    • +4Structure: 21 headings
    • +3Step-by-step instructions: 16 items
    • +4Has examples (19 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: suspicious
    This appears to be a legitimate Ink cloud-management skill, but it can steer agents into broad, high-impact cloud changes without enough scoping or approval guidance.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026