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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.

LeoYeAI/openclaw-master-skills Agent Skills author: LeoYeAI MIT 3 files body ≈ 4 773 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Provision Postgres databases, deploy static sites, generate images, and build full-stack webapps on Run402 using x402 micropayments.

As a process C 53/100 · Has gaps — weak spots: result and completion, inputs and preconditions, progress reporting

GeneratorPostgreSQLStripeInfrastructuretype 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
92/100
safety, quality, tests
Safety 60%
98
Quality 40%
84
Run on models
none yet
Process rating
C
53/100
Has gaps
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: 3. 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 53/100

    • 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
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 70Execution cost. Instruction body is 4773 tokens
    • 85Steps. 25 steps, 1 vague phrases
    • 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.