BD content-rewriter
自媒体人必备 | 丢个视频链接，自动出小红书+头条+抖音三套可直接发布的改写文案。 支持抖音/B站/小红书。不是学术分析，是"扒下来→分析为什么爆→改成你的版本"。 实测能省 80% 的爆款分析时间。花大叔出品。 触发场景：分析视频文案、视频文案改写、扒文案改文章、爆款分析、 内容改写、文案提取改写、视频转文章、爆款拆解、改写输出、一键扒爆款、 自媒体文案、小红书爆款、今日头条改写、短视频文案、内容搬运、仿写、 选题拆解、对标账号分析、文案去重、二创改写
As a process D 41/100 · Unfinished process — 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 Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
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-long-hermesdescription is 230 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period) - warning
description-no-whenneither description nor a "## When to Use" section says when to use the skill - note
frontmatter-keyunknown frontmatter key "display_name" - note
frontmatter-keyunknown frontmatter key "agent_created"
Process rating: all ten parameters 41/100
- 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
- 40Consistency. Frontmatter name (content-rewriter) differs from the folder (yijian-ba-baokuan)
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 36 steps
- 100Execution cost. Instruction body is 1823 tokens
- 100Running it twice. No mutating operations
- low 13 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
- +1No license
- +2Single-language instructions
- +3Description length 229: enough signal without eating the budget
- +4Structure: 24 headings
- +3Step-by-step instructions: 36 items
- +4Has examples (9 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.
External checks
ClawHub: suspicious
The skill is mostly a disclosed content-extraction and rewriting workflow, but it asks users to use platform cookies and downloader-based scraping while giving inconsistent download/data-handling guidance.
LLM: suspicious (medium) · VirusTotal: · 28 May 2026