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BB memegen

Generate meme images using the memegen.link API. Use when the user asks to create, make, send, or generate a meme, funny image, reaction image, or similar request. Produces meme images via URL — no local image generation needed. Supports 100+ classic meme templates (Drake, Doge, Disaster Girl, Expanding Brain, etc.) and custom backgrounds.

ClawHub Agent Skills author: Artemio Padilla v1.2.0 MIT-0 20 files · 2 scripts body ≈ 5 330 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process B 67/100 · Nearly there — weak spots: result and completion, inputs and preconditions

GeneratorInfrastructuretype 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
84/100
safety, quality, tests
Safety 60%
92
Quality 40%
73
Run on models
none yet
Process rating
B
67/100
Nearly there
Result and completion w 14
0
Inputs and preconditions w 11
30
Tools and files w 18
60
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. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 · 4

✓ No critical or high findings

Medium and low: 4
  • medium Exfiltration net-credential-use scripts/giphy-search.sh:24
    Credential used in a network call (verify the destination is the intended service)
    RESPONSE=$(curl -s "https://api.giphy.com/v1/gifs/search?api_key=…&q=…&limit=5&rating=pg-13")
  • low Secrets in code secret-password-literal references/templates-trending.md:91
    Hard-coded password / key literal (may be an example) (documentation table row)
    | Search | `https://api.giphy.com/v1/gifs/search?api_key=KEY&q=QUERY&limit=10` |
    table
  • low Secrets in code secret-password-literal references/templates-trending.md:92
    Hard-coded password / key literal (may be an example) (documentation table row)
    | Trending | `https://api.giphy.com/v1/gifs/trending?api_key=KEY&limit=10` |
    table
  • low Exfiltration exfil-secret-in-url scripts/giphy-search.sh:24
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
    RESPONSE=$(curl -s "https://api.giphy.com/v1/gifs/search?api_key=…&q=…&limit=5&rating=pg-13")
    placeholder

Files scanned: 20. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5330 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 67/100

  • 0Result and completion. Does not say what the result is
  • 30Inputs and preconditions. Does not say what the process needs to start
  • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
  • 70Execution cost. Instruction body is 5330 tokens
  • 85Steps. 190 steps, 1 vague phrases
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 3 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 10 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
  • -216 emoji in the instructions: noise for the model
  • -34 of 5 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 341: enough signal without eating the budget
  • +4Structure: 32 headings
  • +3Step-by-step instructions: 190 items
  • +4Has examples (14 code blocks)
  • +4Reference files are cited in the instructions (5 of 6)

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

External checks

ClawHub: suspicious
This meme skill is not clearly malicious, but it needs Review because optional trend and GIF features use third-party credentials and local downloads beyond the URL-only description.
LLM: suspicious (high) · VirusTotal: · 29 May 2026