SKILLEMALL.ai

AB loop-polish

Fully automated iterative polishing: start project → full-stack integration verification → browser automation → scoring → auto-fix → loop until perfect → generate report. Invoke ONLY when user explicitly asks for loop polish, full verification with auto-fix loop, or automated acceptance with code changes. NOT for routine QA or quick reviews.

ClawHub Agent Skills author: eric v1.1.2 MIT-0 3 files body ≈ 3 449 tokens Open the sourceclawhub.ai analyzed 2 d ago

Fully automated iterative polishing: start project → full-stack integration verification → browser automation → scoring → auto-fix → loop until perfect →…

As a process B 71/100 · Nearly there — weak spots: failures and branches, consistency, running it twice

IntegrationPostgreSQLMySQLData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
91
Run on models
none yet
Process rating
B
71/100
Nearly there
Failures and branches w 10
0
Progress reporting w 2
0
Running it twice w 4
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: 1. 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 71/100

    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 1 mutating operations with no state check
    • 40Consistency. Frontmatter name (loop-polish) differs from the folder (loop-polish-skills)
    • 50When it triggers. No condition that starts the skill
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 9 steps
    • 100Result and completion. Output format and completion criterion are stated
    • 100Execution cost. Instruction body is 3449 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
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 343: enough signal without eating the budget
    • +4Structure: 17 headings
    • +3Step-by-step instructions: 9 items
    • +3Output format is stated explicitly
    • +4Has examples (16 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.

    External checks

    ClawHub: suspicious
    This skill is a disclosed automation tool, but full mode can change source code, mutate app data, and read database credentials automatically.
    LLM: suspicious (medium) · VirusTotal: · 14 Aug 2026