Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add 0xmariowu/Autosearch --skill xueqiugit clone --depth 1 https://github.com/0xmariowu/AutosearchWrote 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/0xmariowu/autosearch/xueqiu)<a href="https://agentmods.dev/skills/0xmariowu/autosearch/xueqiu"><img src="https://agentmods.dev/badge/skills/0xmariowu/autosearch/xueqiu/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/0xmariowu/autosearch/xueqiu"><img src="https://agentmods.dev/badge/skills/0xmariowu/autosearch/xueqiu.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 | $0.00030 | $0.00361 |
| Opus 5.5 | $0.00012 | $0.00144 |
| Sonnet 5.5 | $0.00006 | $0.00072 |
| Haiku 4.5 | $0.00003 | $0.00036 |
Grade A, and why
xueqiu scanned grade A with 0 findings 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 1mo 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Overview
Xueqiu (雪球) is China's leading stock discussion and investment platform. Useful for stock quotes, investor sentiment, trending financial topics, and hot stock rankings.
When to Choose It
- Chinese stock (A-share, HK, US) searches by name or ticker
- Trending investor discussions and hot posts
- Hot stock rankings (popularity board)
Known Quirks
- Requires
xq_a_tokencookie for authenticated requests — runautosearch login xueqiu - Rate limiting: max 10 requests/min to avoid triggering anti-bot
Quality Bar
- Evidence has non-empty url and title.
- Cookie invalid or expired -> ChannelAuthError surfaces auth_failed.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 48 lines · 30 tokens per session scan A 65e23d12eb40
xueqiu is a skill published in the GitHub repository 0xmariowu/Autosearch (54 stars, last pushed 4d ago), licensed MIT. It adds 30 tokens to every session and 361 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
award-travel
This skill should be used when the user asks about "award flights", "points", "miles", "avios", "asia miles", "loyalty programs", "flight availability", "award search", "redemptions", "business class availability", "first class availability", "hybrid flights", "cash and points", "split ticket", "positioning flights"…
find-my-bookings-and-balances
Uses your own email and browser connectors together to find booking confirmations and points balances, then saves them to Award Travel Finder. Use when the user asks to find, sync or set up all their trips and balances and an email connector (Gmail, Outlook, Apple Mail) or browser control (Claude in Chrome, computer…
check-trip-before-departure
A pre-flight briefing - aircraft and seat, lounges, wifi, airport delays and security waits, and a reprice check on the award. Use when the user has a flight in the next 2 weeks, or asks "am I ready for my trip?". Requires the Award Travel Finder MCP connector (https://mcp.awardtravelfinder.com/mcp).
where-can-my-points-take-me
Turns the user's balances into 3-5 concrete award trips they can afford, with live seats and transfer paths. Use when the user has points but no fixed destination, or asks "what can I do with my points?". Requires the Award Travel Finder MCP connector (https://mcp.awardtravelfinder.com/mcp).
audit-my-portfolio
Values every balance, flags idle and expiring points, and gives the best use for each currency. Use when the user asks "what are my points worth?", "what should I do with my points?" or wants a check-up. Requires the Award Travel Finder MCP connector (https://mcp.awardtravelfinder.com/mcp).
cancel-or-change-award
Works out the cancel or change fee, where the points go back, and if a rebook is cheaper than keeping the ticket. Use when the user wants to cancel, change or rebook an award ticket. Requires the Award Travel Finder MCP connector (https://mcp.awardtravelfinder.com/mcp).