SKILLEMALL.ai

BF xiaohongshu-publish

将笔记 / 内容一键发布为小红书图文笔记,macOS 优先用本地 Chrome 图形界面,全程可视化、最稳。 触发场景: - "把这份笔记发到小红书" / "发布到小红书" / "发小红书图文" / "把 XX 内容发到小红书" - 需要把 Markdown / HTML 内容渲染成小红书竖版卡片图(封面 + 分页)并发布 沉淀了 macOS 下最稳的发布姿势:本地 Chrome + cookies.json 放在 MCP 启动目录, 避开了 headless 登录态读不到、Linux Xvfb 在 macOS 拦路、图片按字符串排序错乱等坑。

ClawHub Agent Skills author: Persimmons v0.1.0 MIT-0 2 files body ≈ 1 541 tokens Open the sourceclawhub.ai analyzed 2 d ago

将笔记 / 内容一键发布为小红书图文笔记,macOS 优先用本地 Chrome 图形界面,全程可视化、最稳。 触发场景: - "把这份笔记发到小红书" / "发布到小红书" / "发小红书图文" / "把 XX 内容发到小红书" - 需要把 Markdown / HTML 内容渲染成小红书竖版卡片图(封面 +…

As a process F 28/100 · Will not run — References files that are not bundled: scripts/sample_content.json

ProcedureGitHubAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
Run on models
none yet
Process rating
F
28/100
Will not run
References files that are not bundled: scripts/sample_content.json
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. The text references files that are not there: add them or drop the references.
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: 2. 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")
  • warning missing-ref reference to a missing file: scripts/sample_content.json
  • note frontmatter-key unknown frontmatter key "agent_created"

Process rating: all ten parameters 28/100

Will not run. References files that are not bundled: scripts/sample_content.json
  • 0Tools and files. 1 referenced file(s) missing: scripts/sample_content.json
  • 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. 5 mutating operations with no state check
  • 40Consistency. Frontmatter name (xiaohongshu-publish) differs from the folder (workbuddy-xiaohongshu-publish)
  • 100Steps. 39 steps
  • 100Execution cost. Instruction body is 1541 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 4 example trigger phrases
  • +3Description length 275: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 39 items
  • +4Has examples (10 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: suspicious
The skill’s Xiaohongshu publishing workflow is mostly coherent, but it asks users to keep active account cookies in a work directory and run a persistent local publishing service without enough security guidance.
LLM: suspicious (medium) · VirusTotal: · 10 Jul 2026