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BF xiaohongshu-viral-note-agent-skill

Use for Xiaohongshu/RED hot notes, trends, note generation/rewrite, authorized account weight, login, publish, schedule, and post-publish review. Not for unauthorized access, captcha bypass, restricted scraping, fake engagement, or plagiarism. 用于小红书热门笔记、趋势、种草文案、账号权重、扫码登录、发布与内容复盘。 禁止未授权访问、绕过验证、刷量、洗稿。

ClawHub Agent Skills author: xubobo v5.15.0 MIT-0 80 files body ≈ 2 053 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Use for Xiaohongshu/RED hot notes, trends, note generation/rewrite, authorized account weight, login, publish, schedule, and post-publish review.

As a process F 36/100 · Will not run — References files that are not bundled: scripts/generate_note.py, scripts/search_hot_notes.py, scripts/search_trending_topics.py

GeneratorAI and agentstype 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
B
88/100
safety, quality, tests
Safety 60%
94
Quality 40%
80
Run on models
none yet
Process rating
F
36/100
Will not run
References files that are not bundled: scripts/generate_note.py, scripts/search_hot_notes.py, scripts/search_trending_topics.py
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. 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 · 6

✓ No critical or high findings

Medium and low: 6
  • low Secrets in code secret-high-entropy-token contracts/openapi.json:3733
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "Body…ost": {
    quoted
  • low Secrets in code secret-high-entropy-token contracts/openapi.json:3745
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "title": "Body…ost"
    quoted
  • low Secrets in code secret-high-entropy-token contracts/openapi.yaml:2259
    High-entropy token-like string (may be an id, hash or a credential)
    Body…st:
  • low Secrets in code secret-high-entropy-token contracts/openapi.yaml:2268
    High-entropy token-like string (may be an id, hash or a credential)
    title: Body…ost
  • low Exfiltration read-dotenv README_EN.md:158
    Reads a .env file
    cp .env.example .env
  • low Exfiltration read-dotenv README.md:160
    Reads a .env file
    cp .env.example .env

Files scanned: 78. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/generate_note.py
  • warning missing-ref reference to a missing file: scripts/search_hot_notes.py
  • warning missing-ref reference to a missing file: scripts/search_trending_topics.py
  • warning missing-ref reference to a missing file: scripts/analyze_hot_notes.py
  • warning missing-ref reference to a missing file: scripts/diagnose_note.py
  • warning missing-ref reference to a missing file: scripts/query_account_weight.py
  • warning missing-ref reference to a missing file: scripts/login_account.py
  • warning missing-ref reference to a missing file: scripts/publish_note.py
  • warning missing-ref reference to a missing file: scripts/sync_account_analytics.py
  • warning missing-ref reference to a missing file: scripts/serve_runtime.py
  • warning missing-ref reference to a missing file: scripts/run_worker.py
  • warning missing-ref reference to a missing file: scripts/run_scheduler.py
  • warning missing-ref reference to a missing file: scripts/run_outbox.py
  • warning missing-ref reference to a missing file: scripts/run_metrics_sync.py
  • warning missing-ref reference to a missing file: scripts/run_mcp.py
  • warning missing-ref reference to a missing file: scripts/provider_probe.py
  • note frontmatter-key unknown frontmatter key "keywords"

Process rating: all ten parameters 36/100

Will not run. References files that are not bundled: scripts/generate_note.py, scripts/search_hot_notes.py, scripts/search_trending_topics.py
  • 0Tools and files. 16 referenced file(s) missing: scripts/generate_note.py, scripts/search_hot_notes.py, scripts/search_trending_topics.py
  • 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
  • 30Running it twice. 7 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 100Steps. 79 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2053 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
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 300: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 79 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (20 of 20)
  • +1License stated

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

External checks

ClawHub: suspicious
The skill is broadly documented, but its local MCP mode gives an agent all scopes for account login, publishing, enterprise controls, and job replay, so users should review it before installing.
LLM: suspicious (high) · 20 Jul 2026