SKILLEMALL.ai

AC Anti-Slop

This skill should be used when the user asks to "check for slop", "anti slop review", "quality check", "is this AI garbage", "review for originality", "check information density", "是不是 slop", "品質檢查", "確保原創", or before publishing, submitting, or sharing any AI-generated content.

ClawHub Agent Skills author: Futurize Rush v0.1.0 MIT-0 2 files body ≈ 2 172 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process C 55/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

AnalyzerInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
none yet
Process rating
C
55/100
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 · 0

    ✓ No critical or high findings

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

    Against the Agent Skills spec

    • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)

    Process rating: all ten parameters 55/100

    • 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
    • 30Running it twice. 7 mutating operations with no state check
    • 40Consistency. Frontmatter name (Anti-Slop) differs from the folder (antislop)
    • 60Tools and files. Uses tools (read) that frontmatter does not declare
    • 65Failures and branches. 3 branches
    • 100Steps. 55 steps
    • 100When it triggers. States when to use and when not to
    • 100Execution cost. Instruction body is 2172 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

    • +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
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 7 example trigger phrases
    • +3Description length 278: enough signal without eating the budget
    • +4Structure: 19 headings
    • +3Step-by-step instructions: 55 items

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

    External checks

    ClawHub: clean
    Anti-Slop is an instruction-only review skill that asks the agent to check writing and claims for quality, evidence, and originality without requesting installs, secrets, persistence, or unrelated access.
    LLM: benign (high) · VirusTotal: · 29 May 2026