SKILLEMALL.ai
GitHub ↗ RU Sign in

AC xhs

xhs 全流程助手，覆盖小红书内容策划、文案与标题生成、封面制作、笔记发布及日常运营管理。适用于写笔记、生成标题/封面、发布或保存草稿、站内搜索、评论互动（点赞/收藏/回复）等小红书相关任务。支持从内容创作到发布执行的一站式流程；封面 AI 生图可选配置 GEMINI_API_KEY、IMG_API_KEY 或 HUNYUAN_API_KEY。

modbender/skill-library-mcp Agent Skills author: modbender MIT 2 files body ≈ 496 tokens Open the sourcegithub.com↗ analyzed 2 d ago

xhs 全流程助手，覆盖小红书内容策划、文案与标题生成、封面制作、笔记发布及日常运营管理。适用于写笔记、生成标题/封面、发布或保存草稿、站内搜索、评论互动（点赞/收藏/回复）等小红书相关任务。支持从内容创作到发布执行的一站式流程；封面 AI 生图可选配置 GEMINIAPIKEY、IMGAPIKEY 或…

As a process C 64/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, consistency

ProcedureData and analyticstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
C
64/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
When it triggers w 12
20
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: 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")

Process rating: all ten parameters 64/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 12 mutating operations with no state check
  • 40Consistency. Frontmatter name (xhs) differs from the folder (xhs-browser-ops)
  • 60Result and completion. Output format stated, no completion criterion
  • 100Tools and files. No external tools needed
  • 100Steps. 41 steps
  • 100Failures and branches. 3 branches, has a failure section
  • 100Execution cost. Instruction body is 496 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)
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 173: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 41 items
  • +3Output format is stated explicitly
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.