BC autoshorts
Turn long videos into viral TikTok, Instagram Reels & YouTube Shorts. Daily AI pipeline: Whisper transcribes, Gemini 3 Flash multimodal picks every viral moment with frame-accurate cuts, FFmpeg renders with hook-text overlay, you approve, Upload-Post publishes. One video per run, human-gated before posting. Use when the user wants to create shorts/reels/clips from long videos, mentions autoshorts, viral clips, video repurposing, content automation, or asks for the daily clip batch.
As a process C 62/100 · Has gaps — weak spots: result and completion, inputs and preconditions
What is at stake
Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".
If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.
How to improve
- 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 · 4
✓ No critical or high findings
Medium and low: 4
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medium Exfiltration
exfil-send-secrets-to-urlREADME.md:33Instruction to send secrets/history to an external endpoint (describes API authentication (bearer / header / HTTPS); the skill's own vendor host)6. Verify the Upload-Post key works: `curl -s -H "Authorization: Apikey $UPLOAD_POST_API_KEY" https://api.upload-post.com/api/uploadposts/users` should return the user's profile and connected platform
API authvendor-host -
medium Exfiltration
exfil-send-secrets-to-urlSKILL.md:15Instruction to send secrets/history to an external endpoint (URL is a reference link, not a destination; the skill's own vendor host; quoted — discussed, not commanded)- { name: UPLOAD_POST_API_KEY, required: true, description: "Upload-Post API key (https://app.upload-post.com → Settings → API Keys)" }reference linkvendor-hostquoted -
low Exfiltration
net-credential-useREADME.md:33Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host; quoted — discussed, not commanded)6. Verify the Upload-Post key works: `curl -s -H "Authorization: Apikey $UPLOAD_POST_API_KEY" https://api.upload-post.com/api/uploadposts/users` should return the user's profile and connected platform
vendor-hostquoted -
low Exfiltration
net-credential-useSKILL.md:58Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host; quoted — discussed, not commanded)- Verify: `curl -H "Authorization: Apikey $UPLOAD_POST_API_KEY" https://api.upload-post.com/api/uploadposts/me`.
vendor-hostquoted
Files scanned: 5. 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 62/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
- 70When it triggers. States when to use, but not when not to
- 70Execution cost. Instruction body is 4917 tokens
- 100Steps. 49 steps
- 100Failures and branches. 17 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 (6 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
- -4Absolute local paths (C:\Users, /home/…): not portable
- +2Single-language instructions
- +3Description length 486: enough signal without eating the budget
- +4Structure: 27 headings
- +3Step-by-step instructions: 49 items
- +4Has examples (11 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.