Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/Mousaee/agent-searchnpx agentmods add skills/mousaee/agent-search/internet-reachWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/mousaee/agent-search/internet-reach)<a href="https://agentmods.dev/skills/mousaee/agent-search/internet-reach"><img src="https://agentmods.dev/badge/skills/mousaee/agent-search/internet-reach/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/mousaee/agent-search/internet-reach"><img src="https://agentmods.dev/badge/skills/mousaee/agent-search/internet-reach.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00071 | $0.00932 |
| Opus 5.5 | $0.00028 | $0.00373 |
| Sonnet 5.5 | $0.00014 | $0.00186 |
| Haiku 4.5 | $0.00007 | $0.00093 |
Grade A, and why
internet-reach scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s "https://r.jina.ai/https://x.com/user/status/123" How it starts
The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Internet Reach — 互联网平台访问
健康检测
zsh scripts/doctor.sh
平台命令速查
Twitter/X(bird CLI)
# 搜索推文
bird search "query" --json -n 10
# 读单条推文
bird read https://x.com/user/status/123 --json
# 读用户时间线
bird timeline @username --json -n 20
# 备用:Jina Reader(无需 Cookie)
curl -s "https://r.jina.ai/https://x.com/user/status/123"
Cookie 配置见 docs/cookie-setup.md
Reddit(零依赖)
# 读子版块热帖
curl -s "https://www.reddit.com/r/python/hot.json?limit=10" \
-H "User-Agent: agent-search/1.0"
# 读帖子+评论
curl -s "https://www.reddit.com/r/python/comments/POST_ID.json" \
-H "User-Agent: agent-search/1.0"
# 搜索
curl -s "https://www.reddit.com/search.json?q=query&limit=10" \
-H "User-Agent: agent-search/1.0"
本地电脑直接访问,服务器可能需要代理。
LinkedIn(Jina Reader,零配置)
# 读公开 Profile
curl -s "https://r.jina.ai/https://linkedin.com/in/username"
# 读公司页面
curl -s "https://r.jina.ai/https://linkedin.com/company/xxx"
Boss直聘(Jina Reader,零配置)
curl -s "https://r.jina.ai/https://www.zhipin.com/job_detail/xxx"
小红书(需要 Docker + MCP,按需启用)
# 启用
docker run -d --name xiaohongshu-mcp -p 18060:18060 xpzouying/xiaohongshu-mcp
mcporter config add xiaohongshu http://localhost:18060/mcp
# 使用
mcporter call 'xiaohongshu.search_feeds(keyword: "query")'
mcporter call 'xiaohongshu.get_feed_detail(feed_id: "xxx", xsec_token: "yyy")'
抖音(需要 MCP,按需启用)
mcporter call 'douyin.parse_douyin_video_info(share_link: "https://v.douyin.com/xxx/")'
详见 https://github.com/yzfly/douyin-mcp-server
YouTube / B站(yt-dlp)
# 视频信息
yt-dlp --dump-json "URL"
# 字幕提取
yt-dlp --write-sub --write-auto-sub --sub-lang "zh-Hans,zh,en" --skip-download -o "/tmp/%(id)s" "URL"
# 搜索
yt-dlp --dump-json "ytsearch5:query"
GitHub(gh CLI)
gh search repos "query" --sort stars --limit 10
gh repo view owner/repo
gh search code "query" --language python
gh issue list -R owner/repo --state open
RSS(feedparser)
python3 -c "
import feedparser
d = feedparser.parse('https://example.com/feed')
for e in d.entries[:5]:
print(f'{e.title} — {e.link}')
"
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 133 lines · 71 tokens per session scan A a498fb2caefd
internet-reach is a skill published in the GitHub repository Mousaee/agent-search (25 stars, last pushed 8mo ago), licensed MIT. It adds 71 tokens to every session and 932 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
internet-reach compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| internet-reachMousaee/agent-search | Skill | 25 | 8mo ago | MIT | A | 71 | Claude Code, Codex |
| interactive-loginyc-software/qm | Skill | 16k | yesterday | MIT | A | 46 | Claude Code, Codex |
| pinchtab-mcppinchtab/pinchtab | Skill | 11k | 10d ago | MIT | A | 52 | Claude Code, Codex |
| azure-messaging-webpubsub-javamicrosoft/skills | Skill | 3.2k | yesterday | MIT | A | 43 | Claude Code |
| cua-driverdavidondrej/skills | Skill | 4.3k | 3d ago | MIT | A | 68 | Claude Code, Codex |
| open-design-browsercompozy/compozy | Skill | 2.8k | yesterday | MIT | A | 56 | Claude Code, Codex |
| southwestborski/travel-hacking-toolkit | Skill | 895 | yesterday | MIT | A | 40 | Claude Code |