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 Biraj2004/huashu-skills-english --skill huashu-info-search-engit clone --depth 1 https://github.com/Biraj2004/huashu-skills-englishWrote 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/biraj2004/huashu-skills-english/huashu-info-search-en)<a href="https://agentmods.dev/skills/biraj2004/huashu-skills-english/huashu-info-search-en"><img src="https://agentmods.dev/badge/skills/biraj2004/huashu-skills-english/huashu-info-search-en/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/biraj2004/huashu-skills-english/huashu-info-search-en"><img src="https://agentmods.dev/badge/skills/biraj2004/huashu-skills-english/huashu-info-search-en.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 | $0.00054 | $0.00655 |
| Opus 5.5 | $0.00022 | $0.00262 |
| Sonnet 5.5 | $0.00011 | $0.00131 |
| Haiku 4.5 | $0.00005 | $0.00065 |
Grade A, and why
huashu-info-search 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.
How it starts
The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Information Search & Knowledge Management
Automatically performs multi-channel searches, validates information, and saves results to the knowledge base when new products or technologies are encountered.
When to Use
- Dealing with new products or technologies (released within the last 3 months)
- Needing to verify the latest information
- When the user says "search this", "look up the latest info"
Core Features
- Multi-channel search: Official sources + media + community
- Source prioritisation: Authoritative media first; ignore Zhihu/Baidu content from before 2025
- Knowledge management: Save to
_knowledge_base/, with sources and timestamps noted
Search Strategy
What to Search
- Official product/technology information (release date, features, pricing)
- Tech media coverage (TechCrunch, The Verge, Medium, etc.)
- Community discussions (Reddit, Hacker News, X/Twitter)
- Competitor comparison information
- Related concept explanations
Source Priority
✅ Prioritise (within the last 6 months):
- Authoritative tech media (TechCrunch, The Verge, MIT Technology Review)
- Community forums (Reddit, Hacker News)
- Official documentation and research papers
❌ Ignore entirely:
- Zhihu, Baidu: All content from before 2025
- Outdated content: More than 6 months old
- Marketing and advertorial content
Keyword Combinations
- Topic + year:
"AI detection 2025" - Topic + best practice:
"AI text humanization best practices" - Topic + Reddit:
"AI writing detection reddit 2025"
Knowledge Management
Save Format
File naming: [topic]-[date].md
# Information on [Topic]
**Information collected**: 2025-XX-XX
**Next update recommended**: 2025-XX-XX
## Key Findings
- Finding 1
- Finding 2
## Data and Links
- Official documentation: xxx
- Media coverage: xxx
## Sources
1. [Source 1](link)
2. [Source 2](link)
Save Location
- Writing projects:
/writing/_knowledge_base/ - Video creation:
/video-creation/_knowledge_base/
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 · 95 lines · 54 tokens per session scan A ef1f664f7cf1
huashu-info-search is a skill published in the GitHub repository Biraj2004/huashu-skills-english (3 stars, last pushed 1mo ago), licensed MIT. It adds 54 tokens to every session and 655 once invoked, about $0.0002 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 2026-08-31.
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