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BF xiaohongshu-trader-monitor

Xiaohongshu (RedNote) user post keyword monitoring and WeChat notification. Use when the user needs to (1) monitor a specific Xiaohongshu user's latest posts for keywords in titles, (2) get notified via WeChat when target keywords appear in new posts, (3) set up automated periodic checks for a Xiaohongshu trader/seller's updates, or (4) configure keyword-based alerts for Xiaohongshu content. Triggers on phrases like "小红书监测", "远行商人", "帖子监控", "关键词提醒", "xiaohongshu monitor".

ClawHub Agent Skills author: SHAWNTRIBBIANI v1.0.0 MIT-0 8 files · 4 scripts body ≈ 709 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process F 37/100 · Will not run — References files that are not bundled: scripts/xhs_trader_monitor.py, scripts/start-mcp.sh, scripts/stop-mcp.sh

ProcedureInfrastructuretype 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%
98
Quality 40%
72
Run on models
none yet
Process rating
F
37/100
Will not run
References files that are not bundled: scripts/xhs_trader_monitor.py, scripts/start-mcp.sh, scripts/stop-mcp.sh
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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Dangerous commands cmd-background-process start-mcp.sh:149
    Starts a background / autostarted process
    nohup "$XHS_MCP" -port ":${PORT}" -headless=false > "$LOG_FILE" 2>&1 &
  • low Dangerous commands cmd-background-process start-mcp.sh:151
    Starts a background / autostarted process
    nohup "$XHS_MCP" -port ":${PORT}" > "$LOG_FILE" 2>&1 &

Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/xhs_trader_monitor.py
  • warning missing-ref reference to a missing file: scripts/start-mcp.sh
  • warning missing-ref reference to a missing file: scripts/stop-mcp.sh
  • warning missing-ref reference to a missing file: scripts/mcp-call.sh
  • warning missing-ref reference to a missing file: scripts/install-check.sh
  • warning missing-ref reference to a missing file: references/trader_rules.md

Process rating: all ten parameters 37/100

Will not run. References files that are not bundled: scripts/xhs_trader_monitor.py, scripts/start-mcp.sh, scripts/stop-mcp.sh
  • 0Tools and files. 6 referenced file(s) missing: scripts/xhs_trader_monitor.py, scripts/start-mcp.sh, scripts/stop-mcp.sh
  • 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
  • 40Consistency. Frontmatter name (xiaohongshu-trader-monitor) differs from the folder (rockingland-trader-monitor)
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 22 steps
  • 100Execution cost. Instruction body is 709 tokens
  • 100Running it twice. No mutating operations

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 476: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 22 items
  • +4Has examples (6 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: suspicious
The skill mostly performs the claimed Xiaohongshu monitoring task, but it handles live account cookies and includes broader account-action tools than a read-only alert skill needs.
LLM: suspicious (high) · VirusTotal: · 29 May 2026