SKILLEMALL.ai

AB run402

Provision Postgres databases, deploy static sites, generate images, and build full-stack webapps on Run402 using x402 micropayments. Use when the user asks to build a webapp, deploy a site, create a database, generate images, or mentions Run402.

ClawHub Agent Skills author: Tal Weiss v3.0.1 MIT-0 2 files body ≈ 4 773 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, progress reporting

GeneratorPostgreSQLInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
98
Quality 40%
84
Run on models
none yet
Process rating
B
68/100
Nearly there
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
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 · 2

    ✓ No critical or high findings

    Medium and low: 2
    • low Exfiltration net-credential-use SKILL.md:426
      Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host; quoted — discussed, not commanded)
      Functions access secrets via `process.env.SECRET_NAME`. Deployed to Lambda. Accessible at `https://api.…com/functions/v1/<name>`.
      vendor-hostquoted
    • low Secrets in code secret-high-entropy-token SKILL.md:561
      High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
      - `X-Ru…ng: <micros>` (allowance-paid only)
      placeholder

    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
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 70When it triggers. States when to use, but not when not to
    • 70Execution cost. Instruction body is 4773 tokens
    • 100Tools and files. No external tools needed
    • 100Steps. 25 steps
    • 100Failures and branches. 2 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Running it twice. Mutating operations check current state
    • low 24 top-level sections: this looks like several domains in one skill
    • low The response is described with custom markup (4 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)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +3Description length 245: enough signal without eating the budget
    • +4Structure: 45 headings
    • +3Step-by-step instructions: 25 items
    • +4Has examples (33 code blocks)

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

    External checks

    ClawHub: suspicious
    The skill is coherent for Run402 deployments, but it needs Review because it can install an unpinned global CLI, create persistent payment authority, handle admin keys and secrets, and perform paid or destructive cloud actions without consistently requiring confirmation.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026