SKILLEMALL.ai

AC deep-content-writer

Creates engaging, example-driven long-form articles with strong hooks, clear argument structures, and reader retention strategies. Use when the user asks to write an in-depth article, blog post, newsletter, social media thread, or any content that needs to hold readers' attention. Also use when the user says "write an article about [topic]" or "turn these notes into a publishable piece".

ClawHub Agent Skills author: aiepco v0.1.0 MIT-0 8 files body ≈ 2 203 tokens Open the sourceclawhub.ai analyzed 2 d ago

Creates engaging, example-driven long-form articles with strong hooks, clear argument structures, and reader retention strategies.

As a process C 63/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

GeneratorWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
90
Run on models
none yet
Process rating
C
63/100
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: 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 63/100

    • 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. 2 mutating operations with no state check
    • 60Failures and branches. 2 branches
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 75 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2203 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
    • +2Single-language instructions
    • +5Description quotes 2 example trigger phrases
    • +3Description length 391: enough signal without eating the budget
    • +4Structure: 28 headings
    • +3Step-by-step instructions: 75 items
    • +4Has examples (1 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.

    External checks

    ClawHub: clean
    This is a disclosed writing-assistance skill with research and platform-style guidance, and I found no hidden code, credential use, persistence beyond installation, or destructive behavior.
    LLM: benign (high) · VirusTotal: · 4 Aug 2026