SKILLEMALL.ai

BC Automate Content Repurposing with AI-driven Automation & Google Drive Storage

Transform blog posts, articles, and long-form content into multiple formats—videos, podcasts, social media posts, and summaries. Use when the user needs content automation, multi-channel distribution, or quick content recycling.

ClawHub Agent Skills author: ncreighton v1.0.0 MIT-0 2 files body ≈ 3 637 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 57/100 · Has gaps — weak spots: result and completion, consistency, running it twice

GeneratorGoogle DriveWriting and documentsMedia and videoInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
99
Quality 40%
61
Run on models
none yet
Process rating
C
57/100
Has gaps
Result and completion w 14
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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • low Exfiltration exfil-webhook-url SKILL.md:166
      Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)
      SLACK_WEBHOOK_URL=https://hooks.slack.com/services/...
      placeholder

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

    Against the Agent Skills spec

    • error name-long name is longer than 64 chars
    • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
    • note frontmatter-key unknown frontmatter key "homepage"

    Process rating: all ten parameters 57/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 11 mutating operations with no state check
    • 40Consistency. Frontmatter name (Automate Content Repurposing with AI-driven Automation & Google Drive Storage) differs from the folder (ai-powered-content-repurposing)
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 69 steps
    • 100Execution cost. Instruction body is 3637 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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
    • -216 emoji in the instructions: noise for the model
    • +1No license
    • +2Single-language instructions
    • +3Description length 228: enough signal without eating the budget
    • +4Structure: 44 headings
    • +3Step-by-step instructions: 69 items
    • +4Has examples (18 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.

    External checks

    ClawHub: clean
    This is a coherent AI content-repurposing skill, but users should treat shared drafts and connected service content as potentially sent to external AI and publishing integrations.
    LLM: benign (high) · VirusTotal: · 29 May 2026