SKILLEMALL.ai

AB voc-growth-report

Turn exported social media comments — especially Xiaohongshu/小红书 CSV exports from 社媒助手 — into VOC insight, growth analysis, Feishu-ready operating structures, and boss-ready HTML report delivery links. Use this whenever the user wants to analyze comment CSVs, extract user sentiment/needs/commercial intent, segment audiences, build VOC reports, generate HTML decision reports, create Feishu/Bitable comment libraries, or turn comment exports into growth recommendations. Make sure to use this skill when the user mentions 社媒助手, 评论抓取, 评论CSV, VOC分析, 用户需求洞察, 商机分析, 飞书评论库, HTML报告, Trae/Cursor/Claude Code report prompts, or asks for a link instead of raw HTML code.

ClawHub Agent Skills author: happyandlg123321-maker v1.1.0 MIT-0 8 files body ≈ 1 350 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process B 72/100 · Nearly there — weak spots: inputs and preconditions, running it twice, progress reporting

AnalyzerData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
83
Run on models
none yet
Process rating
B
72/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • 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: 7. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 72/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 1 mutating operations with no state check
    • 60Result and completion. Output format stated, no completion criterion
    • 65Failures and branches. 3 branches
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 130 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1350 tokens
    • medium 3 test cases, all positive: not one "should refuse" or "should ask first"

    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)
    • -44 reference files, but SKILL.md never points to them: the model will not open them
    • +1No license
    • +2Single-language instructions
    • +3Description length 662: enough signal without eating the budget
    • +4Structure: 20 headings
    • +3Step-by-step instructions: 130 items
    • +3Output format is stated explicitly
    • +4Has examples (0 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

    External checks

    ClawHub: suspicious
    This appears to be a legitimate comment-analysis/reporting skill, but it needs review because it handles identifiable comment-export data and encourages file/server delivery without clear user controls.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026