SKILLEMALL.ai

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".

ClawHub Agent Skills author: Eslamshtain11 v1.0.0 MIT-0 5 files body ≈ 4 192 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 47/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureTelegramMedia and videoInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
99
Quality 40%
80
Run on models
none yet
Process rating
D
47/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • 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-url SKILL.md:407
    Webhook / 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-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown 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.

External checks

ClawHub: clean
This skill is a disclosed AI video workflow that uses third-party services and Telegram as advertised, but users should avoid sensitive content and review destinations before running it.
LLM: benign (high) · VirusTotal: · 29 May 2026