danghuangshang is a multi-agent collaboration system that organizes specialized AI agents into a hierarchy modeled on historical Chinese government institutions. Users delegate tasks to these agents through platforms such as Discord or Feishu, with roles for coordination, coding, review, memory, and automation. Its catalogue entries are the project's agents and skills.
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 wanikua/danghuangshang --skill hacker-newsgit clone --depth 1 https://github.com/wanikua/danghuangshangWrote 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/wanikua/danghuangshang/hacker-news)<a href="https://agentmods.dev/skills/wanikua/danghuangshang/hacker-news"><img src="https://agentmods.dev/badge/skills/wanikua/danghuangshang/hacker-news/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/wanikua/danghuangshang/hacker-news"><img src="https://agentmods.dev/badge/skills/wanikua/danghuangshang/hacker-news.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00023 | $0.00744 |
| Opus 5 | $0.00012 | $0.00372 |
| Sonnet 5 | $0.00005 | $0.00149 |
| Haiku 4.5 | $0.00002 | $0.00074 |
Grade A, and why
Hacker News 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 11d 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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quick Reference
| Topic | File |
|---|---|
| API endpoints | api.md |
| Search patterns | search.md |
Core Rules
1. Two APIs Available
| API | Use Case | Base URL |
|---|---|---|
| Official HN API | Single items, real-time | https://hacker-news.firebaseio.com/v0 |
| Algolia Search | Full-text search, filters | https://hn.algolia.com/api/v1 |
2. Official API Endpoints
/topstories.json— top 500 story IDs/newstories.json— newest 500 story IDs/beststories.json— best stories/askstories.json— Ask HN/showstories.json— Show HN/jobstories.json— job postings/item/{id}.json— story/comment details/user/{username}.json— user profile
3. Algolia Search Syntax
/search?query=TERM&tags=TAG&numericFilters=FILTER
Tags (combinable with AND):
story,comment,poll,job,ask_hn,show_hnauthor_USERNAME— posts by userstory_ID— comments on story
Numeric filters:
created_at_i>TIMESTAMP— after datepoints>N— minimum pointsnum_comments>N— minimum comments
4. Common Patterns
| Request | Endpoint |
|---|---|
| Frontpage | Official /topstories.json → fetch first 30 items |
| Search posts | Algolia /search?query=X&tags=story |
| User's posts | Algolia /search?tags=author_USERNAME |
| Who is hiring? | Algolia /search?query=who is hiring&tags=story,author_whoishiring |
| Comments on story | Algolia /search?tags=comment,story_ID |
| This week's top | Algolia /search?tags=story&numericFilters=created_at_i>WEEK_TS |
5. Response Handling
- Official API returns IDs → batch fetch items (parallelize)
- Algolia returns full objects with
hits[]array - Story object:
id,title,url,score,by,time,descendants(comment count) - Comment object:
id,text,by,parent,time
6. Rate Limits
- Official API: No auth required, generous limits
- Algolia: 10,000 requests/hour (no key needed)
- Always paginate large results (
page=N,hitsPerPage=N)
What ships with it
2 files 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.
- 11d ago First seen · 75 lines · 23 tokens per session scan A 50afa01ae350
Hacker News is a skill published in the GitHub repository wanikua/danghuangshang (2,701 stars, last pushed 3mo ago), licensed MIT. It adds 23 tokens to every session and 744 once invoked, about $0.0001 per session on Opus 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.
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