SKILLEMALL.ai
GitHub ↗ RU Sign in

BD openclaw-professional-web-engineering

Use when building websites, web apps, PWAs, mobile apps, APIs, backends, admin dashboards, SaaS, landing pages, e-commerce, realtime apps, and AI applications with professional engineering standards.

ClawHub Agent Skills author: Suga Nick v1.0.0 MIT-0 5 files body ≈ 3 932 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Use when building websites, web apps, PWAs, mobile apps, APIs, backends, admin dashboards, SaaS, landing pages, e-commerce, realtime apps, and AI applications…

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorSoftware developmentInfrastructureData and analyticstype 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
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
Run on models
none yet
Process rating
D
49/100
Unfinished process
Inputs and preconditions w 11
0
Progress reporting w 2
0
When it triggers w 12
20
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: 5. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 6, column 12: changelog: ClawHub professional standard: Overview, When to Use, How to Use, Co… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
    • note frontmatter-key unknown frontmatter key "slug"
    • note frontmatter-key unknown frontmatter key "homepage"
    • note frontmatter-key unknown frontmatter key "changelog"
    • note frontmatter-key unknown frontmatter key "emoji"

    Process rating: all ten parameters 49/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 23 mutating operations with no state check
    • 40Result and completion. Does not say what the result is
    • 40Consistency. Frontmatter name (openclaw-professional-web-engineering) differs from the folder (professional-web-engineering)
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (node) that frontmatter does not declare
    • 100Steps. 66 steps
    • 100Execution cost. Instruction body is 3932 tokens
    • low 59 top-level sections: this looks like several domains in one skill

    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
    • +4No input/output examples
    • +2Single-language instructions
    • +3Description length 199: enough signal without eating the budget
    • +4Structure: 60 headings
    • +3Step-by-step instructions: 66 items
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

    External checks

    ClawHub: clean
    This is a broad web engineering guidance skill with no hidden scripts or data collection, though users should be aware that most detailed instructions are in Indonesian and its activation scope is wide.
    LLM: benign (high) · VirusTotal: · 22 Aug 2026