stock-data-skill
OpenClaw Skill for stock data analysis
DuckDuckGo HTML search scraper CLI with JSON, CSV, OpenSearch, markdown, and compact outputs.
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install camohiddendj/ddg-search-cliExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
Search DuckDuckGo from the command line. Results go to stdout; progress goes to stderr.
ddg-search "query" # default: JSON, 5 pages
ddg-search -f compact "query" # minimal-token output (best for LLM context)
ddg-search -f jsonl "query" # one JSON object per line
ddg-search -n 10 "query" # stop after 10 results
ddg-search -p 2 -f json "query" # 2 pages, JSON
ddg-search -r us-en -t w "recent topic" # US-English, past week
ddg-search -p 0 "query" # unlimited pages (scrape all)
| Flag | Long | Description | Default |
|---|---|---|---|
-f |
--format |
Output format: json, jsonl, csv, opensearch, markdown, compact |
json |
-p |
--pages |
Max pages to scrape (0 = unlimited) | 5 |
-n |
--max-results |
Stop after this many results | all |
-r |
--region |
Region code (e.g. us-en, uk-en) |
all regions |
-t |
--time |
Time filter: d (day), w (week), m (month), y (year) |
none |
compact: Use for feeding results into an LLM. Minimal tokens, no JSON overhead.jsonl: Use when piping to line-oriented tools or streaming processors.json: Use when you need structured data with OpenSearch metadata, zero-click answers, and spelling corrections. Pipe through jq for field extraction (e.g. | jq '.items[].link').csv: Use for spreadsheets or tabular analysis.markdown: Use for human-readable output or embedding in documents.opensearch: Use when producing Atom XML feeds.ddg-search "query" | jq -r '.items[].link'
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
# ddg-search Search DuckDuckGo from the command line. Results go to stdout; progress goes to stderr. ## Quick reference ```bash ddg-search "query" # default: JSON, 5 pages ddg-search -f compact "query" # minimal-token output (best for LLM context) ddg-search -f jsonl "query" # one JSON object per line ddg-search -n 10 "query" # stop after 10 results ddg-search -p 2 -f json "query" # 2 pages, JSON ddg-search -r us-en -t w "recent topic" # US-English, past week ddg-search -p 0 "query" # unlimited pages (scrape all) ``` ## Options | Flag | Long | Description | Default | |------|------|-------------|---------| | `-f` | `--format` | Output format: `json`, `jsonl`, `csv`, `opensearch`, `markdown`, `compact` | `json` | | `-p` | `--pages` | Max pages to scrape (0 = unlimited) | `5` | | `-n` | `--max-results` | Stop after this many results | all | | `-r` | `--region` | Region code (e.g. `us-en`, `uk-en`) | all regions | | `-t` | `--time` | Time filter: `d` (day), `w` (week), `m` (month), `y` (year) | none | ## Choosing a format - **`compact`**: Use for feeding results into an LLM. Minimal tokens, no JSON overhead. - **`jsonl`**: Use when piping to line-oriented tools or streaming processors. - **`json`**: Use when you need structured data with OpenSearch metadata, zero-click answers, and spelling corrections. Pipe through `jq` for field extraction (e.g. `| jq '.items[].link'`). - **`csv`**: Use for spreadsheets or tabular analysis. - **`markdown`**: Use for human-readable output or embedding in documents. - **`opensearch`**: Use when producing Atom XML feeds. ## Extracting URLs from JSON output ```bash ddg-search "query" | jq -r '.items[].link' ``` ## Notes - DuckDuckGo may trigger bot detection. The tool stops early and returns whatever results were collected. - Random delays (800–2900 ms) are inserted between page fetches automatically. - Progress messag...
OpenClaw Skill for stock data analysis
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