AD short-video-ai
بايبلاين إنتاج فيديو قصير (60-90 ثانية) بالكامل بالذكاء الاصطناعي. المستخدم يعطي فكرة أو عنوان → يولّد سكريبت مقسّم لمشاهد (كل مشهد 10 ثوانٍ) → يولّد فيديو كل مشهد بـ Wan2.6 → يولّد صوت كل مشهد بـ ElevenLabs → يدمج الكل بـ FFmpeg → يرسل الفيديو النهائي على Telegram. استخدم هذه المهارة عند أي طلب من نوع: "اعمل فيديو عن ...", "اعمل شورت عن ...", "اعمل ريلز عن ...", "short video ai", "فيديو ذكاء اصطناعي كامل", "wan2 + elevenlabs + telegram".
As a process D 47/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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 · 1
✓ No critical or high findings
Medium and low: 1
-
low Exfiltration
exfil-webhook-urlSKILL.md:407Webhook / callback URL commonly used for exfiltration (verify the destination) (the skill's own vendor host; quoted — discussed, not commanded)url = f"https://api.telegram.org/bot{bot_token}/sendVideo"vendor-hostquoted
Files scanned: 5. 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") - note
frontmatter-keyunknown frontmatter key "triggers"
Process rating: all ten parameters 47/100
- 0Result and completion. Does not say what the result is
- 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
- 40Consistency. Frontmatter name (short-video-ai) differs from the folder (video-full-free)
- 70Execution cost. Instruction body is 4192 tokens
- 100Tools and files. No external tools needed
- 100Steps. 11 steps
- 100Running it twice. No mutating operations
- low 15 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +5Description quotes 6 example trigger phrases
- +3Description length 442: enough signal without eating the budget
- +4Structure: 26 headings
- +3Step-by-step instructions: 11 items
- +4Has examples (16 code blocks)
- +4Reference files are cited in the instructions (3 of 3)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.