SKILLEMALL.ai

BF withme-youtube

With me. YouTube 频道 Lofi 氛围视频制作全流程。小米(Content)全权调度,从选题到发布一条龙。含 AI 图片生成、Envato 音频下载、FFmpeg 合成、SEO 资料包、YouTube 上传排程、Shorts 切片。触发词:withme、lofi视频、氛围视频、YouTube发布、开始制作、V{N}。

ClawHub Agent Skills author: kylin19860916 v2.1.0 MIT-0 5 files · 1 script body ≈ 1 391 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process F 33/100 · Will not run — References files that are not bundled: scripts/build-v{N}.sh

ProcedureYouTubeMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
67
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: scripts/build-v{N}.sh
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

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  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 · 0

✓ No critical or high findings

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")
  • warning missing-ref reference to a missing file: scripts/build-v{N}.sh

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: scripts/build-v{N}.sh
  • 0Tools and files. 1 referenced file(s) missing: scripts/build-v{N}.sh
  • 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
  • 30Running it twice. 1 mutating operations with no state check
  • 100Steps. 66 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1391 tokens
  • low 10 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
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +3Description length 167: enough signal without eating the budget
  • +4Structure: 23 headings
  • +3Step-by-step instructions: 66 items
  • +4Has examples (5 code blocks)
  • +4Reference files are cited in the instructions (1 of 2)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: suspicious
This is a disclosed YouTube production workflow, but it gives an agent broad automated access to local credentials, browser sessions, downloads, and publishing actions.
LLM: suspicious (high) · VirusTotal: · 29 May 2026