AC opus-clip
The OpusClip craft skill — turn long video (podcasts, webinars, interviews, streams) into publishable short clips with AI candidate-finding, honest triage, and a human-reviewed pipeline. Use when someone wants to use OpusClip, turn a podcast/webinar/VOD into shorts, understand the Virality Score, pick a plan, pull a moment from a long recording (ClipAnything moment search), or automate a clipping pipeline. Uses the CLIPS framework. Reads captions-and-clipping + the source skill + brand-profile first. The agent plans the pipeline, credit math, and QA; the HUMAN reviews every clip and approves; WoopSocial publishes the finished exports (it does not clip or edit video). Integrity spine: the Virality Score is a PREDICTION for triage, never truth; 1 credit = 1 SOURCE minute; no unreviewed auto-post pipelines; no out-of-context clips. Distinct from captions-and-clipping (general craft), descript (long-form edit), capcut (short-form polish), and the platform publishing skills.
The OpusClip craft skill — turn long video (podcasts, webinars, interviews, streams) into publishable short clips with AI candidate-finding, honest triage…
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. 11 mutating operations with no state check
- 40Result and completion. Does not say what the result is
- 100Tools and files. No external tools needed
- 100Steps. 9 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1886 tokens
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- 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 984: 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: 9 items
- +4Reference files are cited in the instructions (4 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.