Google News Search
Search Google News through Frevana.
Purpose
This skill is for finding Google News results.
Inputs:
q- optional
gl - optional
hl - optional
topic_token - optional
publication_token - optional
section_token - optional
story_token
Output:
- validated response JSON with Google News search results
This skill validates that the response is JSON and returns it unchanged. Do not rewrite or reshape the returned data unless the user explicitly asks for a transformation.
What This Skill Needs
- user-provided
q - optional
gl - optional
hl - optional
topic_token - optional
publication_token - optional
section_token - optional
story_token FREVANA_TOKENin the environment variables, or an explicit--tokenoverride for the current runcurlbashpython3
Execution Order
Use this flow so the request stays simple and reliable:
- Confirm the user has provided
qor an equivalent search query. - Prefer the script over ad hoc
curlcommands. - Let the script read
FREVANA_TOKENfirst. - In interactive shell usage, if
FREVANA_TOKENis missing, the script may prompt for it. - In non-interactive or agent workflows, fail fast if the token is missing and tell the user to set
FREVANA_TOKENor pass--tokenexplicitly. - Return the validated response JSON, or summarize the most relevant news items if the user does not need the full payload.
- When useful, also save the JSON to a file.
Commands
Basic news search
bash <skill-path>/scripts/search_google_news.sh \
--q "artificial intelligence"
--query is accepted as an alias for --q.
Search with country and language
bash <skill-path>/scripts/search_google_news.sh \
--q "artificial intelligence" \
--gl US \
--hl en
Search with a Google News token
bash <skill-path>/scripts/search_google_news.sh \
--q "economy" \
--topic-token "CAAqJggKIiBDQkFTRWdvSUwyMHZNRGcxY1Y4U0FIVnVHZ0pWVXlnQVAB"
Save response JSON to a file
bash <skill-path>/scripts/search_google_news.sh \
--q "artificial intelligence" \
--gl US \
--hl en \
--output ./out/google-news-search-result.json
Token override for the current run
bash <skill-path>/scripts/search_google_news.sh \
--q "artificial intelligence" \
--token "your bearer token"
Fixed Request Shape
The script sends this payload shape, omitting optional fields that were not provided:
{
"q": "artificial intelligence",
"gl": "US",
"hl": "en",
"topic_token": "CAAq..."
}
Only q is required. Do not invent gl, hl, or token values when the user did not provide them.
Response Shape
The API returns JSON. This skill validates the response as JSON and returns it unchanged.
Output
- Success: the script validates that the response body is JSON and prints it to stdout
- With
--output: the same JSON is also written to the specified file path - Failure: the script prints the response body or parsing error and exits non-zero
Notes
- Require
--qor--query - Use
--glwhen the user requests a specific country or region - Use
--hlwhen the user requests a specific language - Use token fields only when the user provides the corresponding Google News token
- If
curlis missing, stop and tell the user to installcurl - If
python3is missing, stop and tell the user to installpython3 - Do not echo the Bearer token back to the user
- Summarize the news results the user actually cares about instead of dumping raw JSON unless they ask for the full payload
Example Prompts
中文
- "搜索 Google News 上的 AI 新闻"
- "查一下 Google News 里 q=tesla,gl=US,hl=en"
- "用这个 topic_token 搜 Google News,并保存原始 JSON"
English
- "Search Google News for artificial intelligence"
- "Look up Google News results for Tesla with gl=US and hl=en"
- "Search Google News with this topic token and save the raw JSON to a file"