BF video-generator-auto-post
Generate videos using local AI models (ComfyUI/Stable Video Diffusion) and auto-publish to social media platforms. Supports text-to-video, image-to-video, batch processing, and automated posting to Twitter, LinkedIn, Instagram, TikTok.
As a process F 45/100 · Will not run — References files that are not bundled: references/caption-templates.md, scripts/generate-video.py, scripts/batch-generate.py
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
- 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: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: references/caption-templates.md - warning
missing-refreference to a missing file: scripts/generate-video.py - warning
missing-refreference to a missing file: scripts/batch-generate.py - warning
missing-refreference to a missing file: scripts/optimize-video.py - warning
missing-refreference to a missing file: references/platform-specs.md - warning
missing-refreference to a missing file: references/workflow-examples.json - warning
missing-refreference to a missing file: assets/default-workflow.json - warning
missing-refreference to a missing file: assets/optimal-settings.json - warning
missing-refreference to a missing file: assets/hashtag-lists.json
Process rating: all ten parameters 45/100
- 0Tools and files. 9 referenced file(s) missing: references/caption-templates.md, scripts/generate-video.py, scripts/batch-generate.py
- 0Result and completion. Does not say what the result is
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 5 mutating operations with no state check
- 50Failures and branches. 0 branches, has a failure section
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 67 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1417 tokens
- low 13 top-level sections: this looks like several domains in one skill
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 235: enough signal without eating the budget
- +4Structure: 31 headings
- +3Step-by-step instructions: 67 items
- +4Has examples (7 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +3All 1 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.