AC instagram-reels-publishing
The Instagram Reels publish-mechanics skill -- distinct from reels-script (the script), instagram-seo (the keyword caption), and platform-specs-and-validation (cross-platform validation). Use when someone has a finished Reel and needs to publish it correctly: specs, cover, safe zone, publish settings. It gets the Reel OUT the way Instagram displays it: 9:16 spec-clean video, the safe zone that survives the feed and profile-grid crops, a custom grid-safe cover (chosen before publish, can't edit after), the keyword caption, and audio. Uses the FRAME framework. Reads brand-profile + the Reel asset first. The agent specs the publish settings, cover brief, and specs/safe-zone checklist, and advises audio/tags. WoopSocial publishes postType REEL + video + caption + cover on a schedule; trending audio, Share-to-Feed, tags, and Reel Insights stay native/in-app; the video/cover come from other tools. Remove other-platform watermarks; metrics never fabricated.
The Instagram Reels publish-mechanics skill -- distinct from reels-script (the script), instagram-seo (the keyword caption), and platform-specs-and-validation…
As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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: 6. 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 56/100
- 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. 33 mutating operations with no state check
- 40Result and completion. Does not say what the result is
- 100Tools and files. No external tools needed
- 100Steps. 11 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1682 tokens
- high The skill tells the model to perform an irreversible action with no human approval
- low No test case covers injection arriving through data
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)
- +3Description length 964: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +4Structure: 9 headings
- +3Step-by-step instructions: 11 items
- +4Reference files are cited in the instructions (3 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.