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小红书图文笔记自动发布技能。通过 ego-browser 自动化完成图片上传、标题填写、正文编辑、 话题标签、发布等全流程。附带 28 种多样式风格卡片生成器(含 3 种照片背景氛围主题), 卡片主题、布局、背景图、遮罩强度、模糊、颗粒等参数均可自由配置。 当用户要求发小红书、发布图文笔记、上传到小红书、小红书发帖或涉及小红书内容发布时触发此技能。 前置依赖:ego-browser (ego-lite) 已安装且正在运行,小红书账号已登录。

ClawHub Agent Skills author: Evan Song v1.5.2 MIT-0 8 files · 1 script body ≈ 3 323 tokens Open the sourceclawhub.ai analyzed 2 d ago

小红书图文笔记自动发布技能。通过 ego-browser 自动化完成图片上传、标题填写、正文编辑、 话题标签、发布等全流程。附带 28 种多样式风格卡片生成器(含 3 种照片背景氛围主题), 卡片主题、布局、背景图、遮罩强度、模糊、颗粒等参数均可自由配置。…

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

ProcedureGitHubAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
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

  1. 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: 8. 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")

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. 7 mutating operations with no state check
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 29 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3323 tokens

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
  • +2Single-language instructions
  • +3Description length 222: enough signal without eating the budget
  • +4Structure: 25 headings
  • +3Step-by-step instructions: 29 items
  • +4Has examples (15 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 1 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

External checks

ClawHub: suspicious
This skill is openly designed to automate Xiaohongshu posting, but it can publish to a live logged-in account without a clear final confirmation or dry-run gate.
LLM: suspicious (high) · 2 Aug 2026