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Universal React dashboard audit — detect hardcoded values, tier bypasses, stale components, and onboarding inconsistencies before users see them.

ClawHub Agent Skills author: Tooled-app v1.0.0 MIT-0 2 files body ≈ 1 391 tokens Open the sourceclawhub.ai↗ analyzed 13 h ago

Universal React dashboard audit — detect hardcoded values, tier bypasses, stale components, and onboarding inconsistencies before users see them.

As a process D 44/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerQuality controlSecuritytype 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%
100
Quality 40%
79
Run on models
none yet
Process rating
D
44/100
Unfinished process
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 · 0

    ✓ No critical or high findings

    Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note edit-residue the text marks something as outdated (lines 31, 103): check that old rules are not kept next to new ones — the full check reads the text for contradictions

    Process rating: all ten parameters 44/100

    • 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
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 1 mutating operations with no state check
    • 40Consistency. Frontmatter name (pre-flight) differs from the folder (dashboard-pre-flight)
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (web, node) that frontmatter does not declare
    • 100Steps. 63 steps
    • 100Execution cost. Instruction body is 1391 tokens

    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
    • -5TODO / placeholder text left in the skill
    • +1No license
    • +2Single-language instructions
    • +3Description length 145: enough signal without eating the budget
    • +4Structure: 18 headings
    • +3Step-by-step instructions: 63 items
    • +4Has examples (9 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

    External checks

    ClawHub: clean
    This is a straightforward React dashboard audit checklist with local search commands and no hidden code, executables, credential use, or persistence.
    LLM: benign (high) · VirusTotal: · 5 Jun 2026