SKILLEMALL.ai
GitHub ↗ RU Sign in

BC snaprender

Give your agent eyes on the web — screenshot any URL as an image file. Supports device emulation (iPhone, iPad, Pixel, MacBook), dark mode, full-page scroll, ad blocking. Uses exec tool with curl (NEVER the browser tool). $SNAPRENDER_API_KEY is pre-set. See instructions below.

modbender/skill-library-mcp Agent Skills author: modbender MIT 1 file body ≈ 932 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Give your agent eyes on the web — screenshot any URL as an image file.

As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions

ProcedureStripeAI 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%
98
Quality 40%
72
Run on models
none yet
Process rating
C
57/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
When it triggers w 12
50
the three weakest of ten parameters · all ten

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
  • low Exfiltration net-credential-use SKILL.md:3
    Credential used in a network call (verify the destination is the intended service) (detector / deny-list definition)
    description: "Give your agent eyes on the web — screenshot any URL as an image file. Supports device emulation (iPhone, iPad, Pixel, MacBook), dark mode, full-page scroll, ad blocking. Uses exec tool
    detector
  • low Exfiltration net-credential-use SKILL.md:65
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
    curl -s "https://app.snap-render.com/v1/screenshot?url=…&response_type=json&format=jpeg&quality=60&block_ads=true&block_cookie_banners=true" -H "X-API-Key: $SNAPRENDER_API_KEY"
    vendor-host

Files scanned: 1. 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")

Process rating: all ten parameters 57/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 50When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 100Steps. 13 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 932 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress

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 277: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 13 items
  • +4Has examples (2 code blocks)

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