SKILLEMALL.ai

BD channels-video-publish

内容做好之后的视频号自动发布。成品视频 + 文案就绪后,一条命令完成上传、填短标题/描述、归入合集、声明原创、设定时发表;支持按天批量排期,一次配好让系列内容自动逐日发出。也能对账「哪些发了哪些没发」、给已排期内容改时间。当用户说「发视频号」「视频号发布」「上传视频号」「视频号定时发表」「视频号排期」「查一下哪些没发」「改一下发布时间」时使用。

ClawHub Agent Skills author: jiaxinmmhh v1.2.0 MIT-0 9 files · 4 scripts body ≈ 894 tokens Open the sourceclawhub.ai↗ analyzed 8 d ago

内容做好之后的视频号自动发布。成品视频 +…

As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
B
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
D
43/100
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

    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: 9. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "slug"
    • note frontmatter-key unknown frontmatter key "displayName"
    • note frontmatter-key unknown frontmatter key "agent_created"

    Process rating: all ten parameters 43/100

    • 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
    • 30Running it twice. 1 mutating operations with no state check
    • 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
    • 100Steps. 36 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 894 tokens
    • low 11 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
    • +1No license
    • +2Single-language instructions
    • +3Description length 173: enough signal without eating the budget
    • +4Structure: 18 headings
    • +3Step-by-step instructions: 36 items
    • +4Has examples (5 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +3All 4 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: suspicious
    This skill is purpose-aligned for automating Weixin Channels publishing, but it uses a live authenticated browser session to publish and enumerate account content, including a fixed local export path and sandbox-bypass guidance that deserve careful review.
    LLM: suspicious (high) · 11 Oct 2026