AC contentstudio
ContentStudio is a tool to schedule social-media posts, manage the social inbox, and pull performance analytics across Facebook, LinkedIn, Twitter/X, Instagram, YouTube, TikTok, Pinterest, Threads, Tumblr, Bluesky, and Google Business Profile. Use when the user wants to list/create/delete/approve posts, find the best time to post, read and reply to DMs, comments and reviews, manage media, audit workspaces, accounts, campaigns, labels, categories, or team-members, or pull analytics reports (top posts, engagement, impressions, follower growth, AI insights, etc.) on their ContentStudio account.
ContentStudio is a tool to schedule social-media posts, manage the social inbox, and pull performance analytics across Facebook, LinkedIn, Twitter/X…
As a process C 62/100 · Has gaps — weak spots: result and completion, inputs and preconditions, 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: 5. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 19124 tokens (recommended < 5000); move details to references/ - note
frontmatter-keyunknown frontmatter key "homepage"
Process rating: all ten parameters 62/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 10Execution cost. Instruction body is 19124 tokens: crowds the task out of the window
- 40Result and completion. Does not say what the result is
- 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
- 70When it triggers. States when to use, but not when not to
- 85Steps. 115 steps, 3 vague phrases
- 100Failures and branches. 7 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Running it twice. Mutating operations check current state
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low The response is described with custom markup (76 tags): a typed call is more reliable
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
- +2Single-language instructions
- +3Description length 598: enough signal without eating the budget
- +4Structure: 42 headings
- +3Step-by-step instructions: 115 items
- +4Has examples (35 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.