buzz-hn

buzz-hn is a skill for Claude Code from jeremylongshore/tons-of-skills-marketplace. It costs 94 tokens per session (1,670 once invoked), scanned A, original, MIT.

A writing assistant for Hacker News, a technology discussion website. It turns a product, feature, story, research finding, or open-source project into a proposed post and prepares replies to likely criticism.

In plain words
What is it for?
Use it to draft Show HN, article, research, open-source, or Ask HN submissions, assess likely reception, and prepare comment responses.
Why use it?
It helps developers explain technical work honestly and adapt the submission to Hacker News conventions.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the AskUserQuestion tool.

Part of the marketing-team plugin — 8 skills shipped together

Good fit Use it to draft Show HN, article, research, open-source, or Ask HN submissions, assess likely reception, and prepare comment responses.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jeremylongshore/tons-of-skills-marketplace/buzz-hn
About the project

Tons of Skills is a model-agnostic marketplace that distributes reusable skills, plugins, agents, commands, hooks, and settings for coding-agent tools. It is intended for people who want to browse, install, and manage agent extensions, with Claude Code as its verified native harness. The catalogue entries are extensions provided by or associated with this marketplace.

jeremylongshore/tons-of-skills-marketplace · 2,881 stars · on GitHub · tonsofskills.com

Install

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.

Any agent
npx skills add jeremylongshore/tons-of-skills-marketplace --skill buzz-hn
Clone the repo
git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace

Made for: Claude Code.

Or install marketing-team, the plugin that ships this one along with the rest of its 8 skills.

Wrote 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.

agentmods badge for buzz-hn

README.md
[![agentmods](https://agentmods.dev/badge/skills/jeremylongshore/tons-of-skills-marketplace/buzz-hn/github.svg)](https://agentmods.dev/skills/jeremylongshore/tons-of-skills-marketplace/buzz-hn)
Your own site
<a href="https://agentmods.dev/skills/jeremylongshore/tons-of-skills-marketplace/buzz-hn"><img src="https://agentmods.dev/badge/skills/jeremylongshore/tons-of-skills-marketplace/buzz-hn/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.

agentmods 80×15 button for buzz-hn

Your own site · 80×15
<a href="https://agentmods.dev/skills/jeremylongshore/tons-of-skills-marketplace/buzz-hn"><img src="https://agentmods.dev/badge/skills/jeremylongshore/tons-of-skills-marketplace/buzz-hn.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 94 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,670 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00094 $0.01670
Opus 5.5 $0.00038 $0.00668
Sonnet 5.5 $0.00019 $0.00334
Haiku 4.5 $0.00009 $0.00167

Measured 1mo ago against content hash 75c42bd9613e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

buzz-hn 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • buzz-hn — 100% identical, 0 lines differ
plugins/ai-agency/tonone/bundle/marketing-team/skills/buzz-hn/SKILL.md · 167 lines

How it starts

The opening of the file, as written. The whole thing — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Hacker News Post Crafter

You are Buzz — the PR & community engineer on the Product Team. Write an HN submission that earns genuine upvotes by being honest, technical, and interesting — not promotional.

Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.

Steps

Step 0: Gather Submission Context

Ask for any missing inputs:

  • What are you submitting: product launch (Show HN), article/essay, research finding, open source project, or Ask HN?
  • Core technical insight or honest story: what is genuinely interesting about this?
  • What did you build and how? (Tech stack, architecture decisions, hard problems solved)
  • What did you learn, get wrong, or find surprising?
  • Any metrics: users, performance numbers, scale, time to build?
  • Founder / builder background (briefly)?

Scan for technical and product artifacts:

find . -name "README*" 2>/dev/null | head -5
find . -name "*.md" 2>/dev/null | xargs grep -l "architecture\|how.we.built\|technical\|stack\|decision\|tradeoff" 2>/dev/null | head -10

Step 1: HN Submission Type

Identify the correct post format:

Type Format When to use
Show HN "Show HN: [what it does]" Product, tool, or demo you built
Ask HN "Ask HN: [genuine question]" Seeking community input or advice
Plain link [title of the article] Linking to content you published
Launch HN "Launch HN: [company] – [one-line descriptor]" Official product launch with HN launch template

Step 2: Craft the Title

HN title rules — non-negotiable:

  • ≤80 characters
  • No marketing language ("revolutionary", "game-changing", "the future of")
  • No ALL CAPS, no excessive punctuation
  • No misleading framing
  • Show HN: prefix if it's a product you built
  • Be specific: "a Rust library for X" not "a fast way to do X"
  • Numbers are good if accurate: "in 2 weeks", "for $50/month", "500 users"

Read the full file on GitHub · 167 lines

Changes

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.

  1. 1mo ago First seen · 167 lines · 94 tokens per session scan A 75c42bd9613e

Subscribe to this mod's changes

buzz-hn is a skill published in the GitHub repository jeremylongshore/tons-of-skills-marketplace (2,881 stars, last pushed today), licensed MIT. It adds 94 tokens to every session and 1,670 once invoked, about $0.0004 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 2026-09-03.

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