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Search and download GIFs from Tenor using curl. No dependencies beyond curl and jq. Useful for finding reaction GIFs, creating visual content, and sending GIFs in chat.
Passed 17 of 20 test cases with the skill, and 15 of 20 without it.
3 fixed17 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
I need tiny thumbnail image URLs to display in a dense grid. Which specific format key under `.media_formats` provides nanogif URLs from Tenor API responses?
| Checked | Without skill | With skill |
|---|---|---|
| Accesses .media_formats.nanogif.url in the jq selection. | Missed | Passed |
The instructions your model reads when the skill loads.
This skill is repo-local and stays inactive until explicitly activated.
When the original instructions refer to legacy tool names, use these Kheish mappings:
terminal => bashweb_extract => web_fetch, plus web_search when discovery is neededsearch_files => grep_search and glob_searchbrowser_* tools require a browser-capable surfaced tool or MCP; if none is available, use the closest available surface and say so explicitlyWhen the instructions mention local helper files, resolve them from ${KHEISH_SKILL_DIR}.
Search and download GIFs directly via the Tenor API using curl. No extra tools needed.
Set your Tenor API key in your environment (add to ~/.kheish/.env):
TENOR_API_KEY=your_key_here
Get a free API key at https://developers.google.com/tenor/guides/quickstart — the Google Cloud Console Tenor API key is free and has generous rate limits.
curl and jq (both standard on macOS/Linux)TENOR_API_KEY environment variable# Search and get GIF URLs
curl -s "https://tenor.googleapis.com/v2/search?q=thumbs+up&limit=5&key=${TENOR_API_KEY}" | jq -r '.results[].media_formats.gif.url'
# Get smaller/preview versions
curl -s "https://tenor.googleapis.com/v2/search?q=nice+work&limit=3&key=${TENOR_API_KEY}" | jq -r '.results[].media_formats.tinygif.url'
test cases passed, vs 15 / 20 without
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