BC generatebot
All-in-one content generation, social media publishing, video creation, and image template design via the GenerateBot API. Search trending topics, write blog posts and articles, create short-form video reels, design and render image templates, publish to LinkedIn/Instagram/TikTok/WordPress, enrich with SEO links, generate AI images, and rewrite in brand voice. Use when the user mentions GenerateBot, wants to generate content, create videos, design post images, publish to social media or CMS, or automate content workflows.
As a process C 60/100 · Has gaps — weak spots: result and completion, consistency, execution cost
How to improve
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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
body-longSKILL.md body ≈ 13352 tokens (recommended < 5000); move details to references/ - note
frontmatter-keyunknown frontmatter key "emoji" - note
frontmatter-keyunknown frontmatter key "homepage"
Process rating: all ten parameters 60/100
- 0Result and completion. Does not say what the result is
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 89 mutating operations with no state check
- 40Consistency. Frontmatter name (generatebot) differs from the folder (content-generator-from-url)
- 40Execution cost. Instruction body is 13352 tokens: crowds the task out of the window
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 70Inputs and preconditions. Inputs and preconditions are listed
- 85Steps. 243 steps, 1 vague phrases
- 100When it triggers. States when to use and when not to
- 100Failures and branches. 3 branches, has a failure section
- 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
- +1No license
- +2Single-language instructions
- +3Description length 527: enough signal without eating the budget
- +4Structure: 78 headings
- +3Step-by-step instructions: 243 items
- +4Has examples (49 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.