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BC aggclaw

AppGrowing Global intelligent ad creative analysis assistant. Finds the most relevant global ad creatives based on your instruction and delivers automated analysis. Includes Inspire ideation mode. Triggers: keywords analyze creatives, creative analysis, global campaigns, explore creatives, find creatives; commands /aggclaw, /agg_inspire

ClawHub Agent Skills author: YouCloud v1.2.2 MIT-0 3 files body ≈ 1 645 tokens Open the sourceclawhub.ai↗ analyzed 28 h ago

AppGrowing Global intelligent ad creative analysis assistant.

As a process C 57/100 · Has gaps — weak spots: result and completion, when it triggers, progress reporting

AnalyzerMarketingtype 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
83/100
safety, quality, tests
Safety 60%
90
Quality 40%
73
Run on models
none yet
Process rating
C
57/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

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 · 2

✓ No critical or high findings

Medium and low: 2
  • medium Exfiltration net-credential-use SKILL.md:119
    Credential used in a network call (verify the destination is the intended service)
    Invoke-RestMethod -Uri "https://ai-chat-global.youcloud.com/aichat/claw" -Method Post -ContentType "application/json; charset=utf-8" -Headers @{Authorization="Bearer $env:YOUCLOUD_API_KEY"} -Body $bod
  • medium Exfiltration net-credential-use SKILL.md:123
    Credential used in a network call (verify the destination is the intended service)
    $resp = Invoke-RestMethod -Uri "https://ai-chat-global.youcloud.com/aichat/sessions/$enc/materials" -Headers @{Authorization="Bearer $env:YOUCLOUD_API_KEY"} -TimeoutSec 120

Files scanned: 3. 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")
  • note frontmatter-key unknown frontmatter key "display_name"
  • note frontmatter-key unknown frontmatter key "display_name_en"
  • note frontmatter-key unknown frontmatter key "description_zh"
  • note frontmatter-key unknown frontmatter key "description_en"
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 57/100

  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 85Steps. 29 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1645 tokens
  • 100Running it twice. Mutating operations check current state
  • low 11 top-level sections: this looks like several domains in one skill

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 338: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 29 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: clean
This is a coherent AppGrowing API assistant that sends ad-analysis prompts to Youcloud and can download resulting media, with no hidden executable behavior found.
LLM: benign (high) · VirusTotal: · 4 Sept 2026