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.
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
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-urlSKILL.md:166Webhook / 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-longname is longer than 64 chars - warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - note
frontmatter-keyunknown 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