AC auto-content-ops
自动化网络内容运营技能：从热文抓取→热梗生成→产品结合→发布文案的全流程自动化内容生产。 适用场景包括但不限于：浙江文旅账号运营、短视频选题策划、爆款文案生成、钩子开头撰写、 账号人设定位、自媒体内容日历规划。当用户提到"内容运营"、"选题"、"爆款"、"钩子"、 "文案"、"短视频策划"、"自媒体运营"、"账号定位"、"热点追踪"、"内容日历"、 "文旅内容"、"产品种草"等关键词时，请使用此技能。即使用户只是问"帮我写个短视频文案" 或"最近有什么热点可以追"，也应触发此技能。
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: 5. 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. 75 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 956 tokens
- 100Running it twice. No mutating operations
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 2 example trigger phrases
- +3Description length 243: enough signal without eating the budget
- +4Structure: 19 headings
- +3Step-by-step instructions: 75 items
- +4Has examples (2 code blocks)
- +4Reference files are cited in the instructions (1 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.
External checks
ClawHub: clean
This is an instruction-only Chinese content marketing helper that may run web searches for trends, but it does not install code, request credentials, persist, or actually publish content.
LLM: benign (high) · VirusTotal: · 29 May 2026