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 hackernewsgit 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/hackernews)<a href="https://agentmods.dev/skills/0xmariowu/autosearch/hackernews"><img src="https://agentmods.dev/badge/skills/0xmariowu/autosearch/hackernews.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00603 |
| Opus 5 | $0.00000 | $0.00302 |
| Sonnet 5 | $0.00000 | $0.00121 |
| Haiku 4.5 | $0.00000 | $0.00060 |
Grade A, and why
hackernews 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 8d 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 — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Attribution
Source: self-written, plan
autosearch-0418-channels-and-skills.md§ F002c.
name: hackernews description: Use for real-time developer discussion, tooling opinions, and early-stage product signals from the HN community. version: 1 languages: [en] methods:
- id: algolia_search impl: methods/algolia.py requires: [] rate_limit: {per_min: 60, per_hour: 1000} fallback_chain: [algolia_search] when_to_use: query_languages: [en] query_types: [tech-opinion, tooling, startup, product-launch, hacker-culture] avoid_for: [academic, chinese-query] quality_hint: typical_yield: medium-high chinese_native: false layer: leaf domains: [community-en] scenarios: [tech-news, launch-reaction, discussion] model_tier: Fast experience_digest: experience.md
Overview
Hacker News is a strong source for English-language developer reactions to tools, startups, launches, and technical blog posts. It is especially useful when the user wants candid operator sentiment, early adoption signals, or discussion around a new product in the developer ecosystem.
For autosearch coverage, this channel adds community judgment that is often missing from official docs or vendor pages. It matters because HN can surface quality critiques, deployment pain points, and adoption signals earlier than more polished media sources.
When to Choose It
- Choose it for English queries about developer opinion on a tool, launch, or startup.
- Choose it when comment quality and community debate matter more than formal documentation.
- Choose it for "what do engineers think of this" style prompts.
- Prefer it for early-stage product signals before broader media coverage stabilizes.
- Avoid it for academic paper retrieval or Chinese-language discourse.
How To Search (Planned)
algolia_search- Query the Algolia-backed HN search API for stories and comments matching the query, then rank by recency and discussion value.algolia_search- Capture story title, points, comment count, author, created time, and the HN thread URL.algolia_search- Support both top-level launch discovery and comment-level opinion lookup for tooling and startup queries.
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.
- 8d ago First seen · 61 lines · 0 tokens per session scan A 54264c47d2e8
hackernews is a skill published in the GitHub repository 0xmariowu/Autosearch (44 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 603 tokens. 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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