SKILLEMALL.ai
GitHub ↗ RU Sign in

AB apify-yandex-image-search-api

Search the Yandex Images vertical and get full-size image URLs as structured JSON with the Apify Yandex Search Scraper Actor (johnvc/Scrape-Yandex). A yandex image search api for agents and pipelines. One text query returns image results with the original full-size image URL, hosting page link, thumbnail, and source, filtered by image type, color, orientation, file type, exact size, site, and recency. Use when the user wants a yandex image search api or yandex images api, wants to search Yandex Images programmatically, collect image datasets with full-size URLs, source images from Russian-language sites, or filter image results by color, size, or license-friendly site. Pay-per-page billing, MCP-ready for Claude and other AI agents.

apify/awesome-skills Agent Skills author: apify 3 files body ≈ 1 585 tokens Open the sourcegithub.com↗ analyzed 3 d ago

Search the Yandex Images vertical and get full-size image URLs as structured JSON with the Apify Yandex Search Scraper Actor (johnvc/Scrape-Yandex).

As a process B 69/100 · Nearly there — weak spots: result and completion, progress reporting

IntegrationAI and agentstype and topics are labelled automatically from the skill text
Runs in: 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) OpenClaw Goose OpenCode
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
92
Run on models
none yet
Process rating
B
69/100
Nearly there
Result and completion w 14
0
Progress reporting w 2
0
Failures and branches w 10
50
the three weakest of ten parameters · all ten

How to improve

    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 · 0

    ✓ No critical or high findings

    Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "author_url"

    Process rating: all ten parameters 69/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 28 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1585 tokens
    • 100Running it twice. No mutating operations
    • low 12 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
    • +3Output format is not stated: the model decides each time
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 741: enough signal without eating the budget
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 28 items
    • +4Has examples (2 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.