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 tang-vu/social-posting-skills --skill post-hackernewsgit clone --depth 1 https://github.com/tang-vu/social-posting-skillsWrote 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/tang-vu/social-posting-skills/post-hackernews)<a href="https://agentmods.dev/skills/tang-vu/social-posting-skills/post-hackernews"><img src="https://agentmods.dev/badge/skills/tang-vu/social-posting-skills/post-hackernews/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/tang-vu/social-posting-skills/post-hackernews"><img src="https://agentmods.dev/badge/skills/tang-vu/social-posting-skills/post-hackernews.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 | $0.00024 | $0.00433 |
| Opus 5.5 | $0.00010 | $0.00173 |
| Sonnet 5.5 | $0.00005 | $0.00087 |
| Haiku 4.5 | $0.00002 | $0.00043 |
Grade A, and why
post-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 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
Hacker News Adapter
Facts live in platforms/hackernews.json. HN has no write API and no media;
the audience is the most marketing-averse on this list — earn it.
What HN rewards (culture)
- Plain, factual titles. "Show HN: X – what it does in a few words."
- Technical substance and honest limitations beat polish.
- Something people can actually try — repo, demo, product. Not a landing page, not a waitlist.
- The comments are the product: show up and answer everything honestly.
Drafting from the content graph
core-claim→ "Show HN: Name — concrete description" (≤~80 chars is the truncation heuristic, not a published limit).context→ optional text body: problem, approach, status.technical→ what makes it interesting to THIS audience specifically.link→ the URL field — point at the thing itself (repo/demo), not a marketing page.- Never: superlatives, emoji, "revolutionary", asking for upvotes, reposting without real changes. These violate HN's documented rules and culture.
Publishing
manual(default) → draft with title/url/text ready to paste. Show HN timing and judgement are human calls — keep them human.agent-browser→ simple form (title/url/text) — the simplest playbook, still with abort-on-ambiguity.- No API exists.
Genuine engagement
- After posting, the human should answer comments for hours — technically, honestly, without defensiveness. That conversation IS the launch.
- One Show HN per launch; resubmits only after real change and real time.
Pitfalls
- Duplicate-detection: HN silently kills spam-flagged submissions.
- New accounts posting links get filtered — account standing matters.
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 Changed · -73 lines · +10 tokens per session 83b4279edf41
- 1mo ago First seen · 122 lines · 14 tokens per session scan A be50223f0744
post-hackernews is a skill published in the GitHub repository tang-vu/social-posting-skills (12 stars, last pushed 22d ago), licensed MIT. It adds 24 tokens to every session and 433 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 2026-08-31.
Other skills, from other repositories
auto-research
Research uncertain questions with an explicit, user-approved web search or ChatGPT consultation, then present options and wait for implementation approval.
e2e-automator
Build robust end-to-end test suites with Playwright or Cypress. Covers page objects, fixtures, visual testing, and CI integration.
agentic-actions-auditor
Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action, Gemini CLI, OpenAI Codex, and GitHub AI Inference. Detects attack vectors where attacker-controlled input reaches AI agents running in CI/CD pipelines.
anti-slop-design
Autonomous Principal Design Technologist. Cures vibe-coded software from AI frontend slop using curated token archetypes and 7-axis quality gating.
ad-campaign-analyzer
Analyze cross-channel campaign data, quantify uncertainty, and propose evidence-labeled budget tests without overstating causality.
apk-redteam-pipeline
End-to-end Android APK red-team pipeline.