SKILLEMALL.ai
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BF openclaw-kaipai-ai

Video file → videoscreenclear or hdvideoallinone + spawn-run-task and sessions_spawn (main session). Image → eraser_watermark or image_restoration + blocking run-task only (never spawn-run-task for image tasks). Process images or video with Kaipai AI — four tasks — image watermark removal (eraser_watermark), video watermark removal (videoscreenclear), image quality restoration (image_restoration), video quality restoration (hdvideoallinone). Use when the user asks for watermark removal or quality restoration on images or video. Paid API (consumes tenant quota); never claim the service is free or invent pricing. For videoscreenclear and hdvideoallinone, always use spawn-run-task plus OpenClaw sessions_spawn in the main session (never blocking run-task there); only bypass spawn if the host explicitly forbids sessions_spawn.

LeoYeAI/openclaw-master-skills Agent Skills author: LeoYeAI MIT 21 files body ≈ 5 733 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Video file → videoscreenclear or hdvideoallinone + spawn-run-task and sessionsspawn (main session).

As a process F 42/100 · Will not run — References files that are not bundled: scripts/.env

ProcedureTelegramDiscordMedia and videotype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
83/100
safety, quality, tests
Safety 60%
94
Quality 40%
66
Run on models
none yet
Process rating
F
42/100
Will not run
References files that are not bundled: scripts/.env
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

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".

For the author

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

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  2. The text references files that are not there: add them or drop the references.
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 · 2

✓ No critical or high findings

Medium and low: 2
  • medium Exfiltration exfil-webhook-url scripts/kaipai_ai.py:751
    Webhook / callback URL commonly used for exfiltration (verify the destination) (quoted — discussed, not commanded)
    f"https://api.telegram.org/bot{token}/getFile",
    quoted
  • low Exfiltration read-dotenv SKILL.md:108
    Reads a .env file
    source scripts/.env

Files scanned: 21. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5733 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: scripts/.env

Process rating: all ten parameters 42/100

Will not run. References files that are not bundled: scripts/.env
  • 0Tools and files. 1 referenced file(s) missing: scripts/.env
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 20 mutating operations with no state check
  • 40Consistency. Frontmatter name (openclaw-kaipai-ai) differs from the folder (kaipai-skill)
  • 60Steps. 37 steps, 4 vague phrases
  • 70Execution cost. Instruction body is 5733 tokens
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 8 branches, has a failure section
  • 100Progress reporting. Reports progress
  • low 12 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (3 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)
  • +3Description length 833: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -31 of 7 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 25 headings
  • +3Step-by-step instructions: 37 items
  • +4Has examples (17 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.