SKILLEMALL.ai

AD article-writer

Senior technical article editor for creating well-structured articles from research. Use when user requests to write/create a technical article with keywords like "帮我写篇文章", "写一篇关于XX的文章", "创作技术文章". Searches via tavily, organizes content, and publishes to WeChat Official Account.

ClawHub Agent Skills author: viodmain v1.0.0 MIT-0 2 files body ≈ 698 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 36/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

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%
89
Run on models
none yet
Process rating
D
36/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 36/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 6 mutating operations with no state check
    • 40Consistency. Frontmatter name (article-writer) differs from the folder (tech-article-writer)
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 85Steps. 26 steps, 1 vague phrases
    • 100Execution cost. Instruction body is 698 tokens
    • high The skill tells the model to perform an irreversible action with no human approval

    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
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 3 example trigger phrases
    • +3Description length 278: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 26 items
    • +4Has examples (1 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.

    External checks

    ClawHub: suspicious
    This skill is an article-writing workflow, but it can save drafts and publish to a WeChat Official Account without a clear final approval step.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026