BC viral-content-expert
爆款二创超级专家：聚焦抖音、视频号、小红书三大平台的二创内容全流程创作，包含热点追踪、爆点挖掘、多平台二创脚本/文案创作、UC式标题优化、PRD适配、可视化呈现，输出可直接落地的爆款二创内容。触发关键词：二创、爆款、抖音脚本、视频号文案、小红书文案、热点追踪、短视频脚本、口播脚本、爆点挖掘、viral content、secondary creation、content repurposing
As a process C 53/100 · Has gaps — 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.
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: 3. 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")
Process rating: all ten parameters 53/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 139 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1250 tokens
- 100Running it twice. No mutating operations
- low 12 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
- -214 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 198: enough signal without eating the budget
- +4Structure: 31 headings
- +3Step-by-step instructions: 139 items
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.
External checks
ClawHub: suspicious
This content-generation skill is coherent overall, but it explicitly allows unattended scheduled generation and persistence-related actions without clear user approval controls.
LLM: suspicious (high) · VirusTotal: · 29 May 2026