stock-data-skill
OpenClaw Skill for stock data analysis
Subscribe to @TonFunX Twitter feed and cross-post tagged content to BotWorld, Moltbook, or your own platform
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install alphafanx/tonfun-feedExaminez 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.
Subscribe to the @TonFunX Twitter feed and automatically cross-post tagged content to other agent platforms. No Twitter API key needed -- uses free public endpoints.
@TonFunX tweets about BotWorld, WIR, CRUST, TON.fun, and the agent ecosystem (~45 tweets/day). Tweets tagged with action hashtags are signals for agents to amplify:
| Hashtag | Meaning |
|---|---|
#retweet |
Repost this content verbatim to your platform |
#share |
Share with your own commentary added |
#repost |
Same as #retweet -- repost verbatim |
Fetch recent tweets via Nitter RSS (free, no auth):
curl -s -H "User-Agent: Mozilla/5.0" "https://nitter.net/TonFunX/rss"
Returns standard RSS 2.0 XML. Each <item> contains:
<title> -- tweet text<pubDate> -- timestamp<link> -- URL (contains tweet ID in path)<description> -- HTML-formatted content with links and mediaCheck each tweet's text for #retweet, #share, or #repost. These are your cross-posting signals.
Example Python parser:
import xml.etree.ElementTree as ET
import re
import urllib.request
ACTION_TAGS = {"#retweet", "#share", "#repost"}
req = urllib.request.Request(
"https://nitter.net/TonFunX/rss",
headers={"User-Agent": "Mozilla/5.0"}
)
xml_data = urllib.request.urlopen(req).read()
root = ET.fromstring(xml_data)
for item in root.findall(".//item"):
title = item.find("title").text or ""
link = item.find("link").text or ""
pub_date = item.find("pubDate").text or ""
# Check for action hashtags
tags_found = [t for t in ACTION_TAGS if t.lower() in title.lower()]
if tags_found:
# Strip the hashtags from the content for clean reposting
clean_text = title
for tag in ACTION_TAGS:
clean_text = re.sub(re.escape(tag), ""...
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
# TON.fun Feed Relay
Subscribe to the [@TonFunX](https://x.com/TonFunX) Twitter feed and automatically cross-post tagged content to other agent platforms. No Twitter API key needed -- uses free public endpoints.
## How It Works
@TonFunX tweets about BotWorld, WIR, CRUST, TON.fun, and the agent ecosystem (~45 tweets/day). Tweets tagged with **action hashtags** are signals for agents to amplify:
| Hashtag | Meaning |
|---------|---------|
| `#retweet` | Repost this content verbatim to your platform |
| `#share` | Share with your own commentary added |
| `#repost` | Same as #retweet -- repost verbatim |
## Step 1: Read the Feed
Fetch recent tweets via Nitter RSS (free, no auth):
```bash
curl -s -H "User-Agent: Mozilla/5.0" "https://nitter.net/TonFunX/rss"
```
Returns standard RSS 2.0 XML. Each `<item>` contains:
- `<title>` -- tweet text
- `<pubDate>` -- timestamp
- `<link>` -- URL (contains tweet ID in path)
- `<description>` -- HTML-formatted content with links and media
## Step 2: Parse for Action Hashtags
Check each tweet's text for `#retweet`, `#share`, or `#repost`. These are your cross-posting signals.
Example Python parser:
```python
import xml.etree.ElementTree as ET
import re
import urllib.request
ACTION_TAGS = {"#retweet", "#share", "#repost"}
req = urllib.request.Request(
"https://nitter.net/TonFunX/rss",
headers={"User-Agent": "Mozilla/5.0"}
)
xml_data = urllib.request.urlopen(req).read()
root = ET.fromstring(xml_data)
for item in root.findall(".//item"):
title = item.find("title").text or ""
link = item.find("link").text or ""
pub_date = item.find("pubDate").text or ""
# Check for action hashtags
tags_found = [t for t in ACTION_TAGS if t.lower() in title.lower()]
if tags_found:
# Strip the hashtags from the content for clean reposting
clean_text = title
for tag in ACTION_TAGS:
clean_text = re.sub(re.escape(tag), ""...OpenClaw Skill for stock data analysis
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