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improve-hn-karma

作者 rabgpt · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install improve-hn-karma
功能描述
Generate daily batches of 4–5 tailored Hacker News comments in your expertise area to build karma on active, high-visibility threads with fresh technical ang...
使用说明 (SKILL.md)

Improve HN Karma

Daily workflow to produce 4–5 ready-to-post Hacker News comments (80–150 words, up to 200 on highly technical threads) on active, relevant threads to build karma on a low-karma account. User supplies expertise area(s); skill identifies high-visibility threads, mines underexplored angles, and drafts copy-paste-ready comments with threading instructions.

Step 1 — Fetch HN front page and secondary pool

Fetch `[url] and extract story titles, item IDs, points, comment counts, and age for top ~30 items. Cross-reference with HN /best for the week to widen candidate pool to ~12 threads. Capture raw thread data in a structured list.

What to capture: Thread ID, title, URL, points, comment count, age (minutes/hours), topic keywords.

Step 2 — Apply sweet-spot filter

Retain only threads matching ALL criteria:

  • Points: 50–200 (not 1000+, which buries comments)
  • Comment count: 30–150 (not 900+, which buries visibility)
  • Age: 1–8 hours old (not 1+ day, which decays)
  • Topic: In founder's stated expertise area (AI/dev tools/agents/data-eng/infrastructure/etc.); exclude politicized threads

Decision point: If fewer than 4 threads pass the filter, expand age window to 12 hours or broaden expertise keywords. If still thin, note in output and proceed with available candidates.

What to capture: Shortlist of 4–8 qualifying threads with full metadata.

Step 3 — Mine existing comment angles for each thread

For each shortlisted thread, fetch the item page (HN comments section) and extract the top 5–10 comments, capturing username and quoted text. Analyze: What perspective, technical detail, or counterexample has NOT been mentioned yet? Identify the gap.

Angle-selection rule: Reframe at one level of granularity finer than the current thread discussion. Move from broad claim to specific technical counterexample. Concede a named commenter's point, then add a new lever. Never echo the top criticism or obvious take.

What to capture: Per-thread gap analysis: "Angle not yet covered: [specific technical insight or framing]"; identify 1–2 named users to engage with or acknowledge.

Step 4 — Draft comment copy for each angle

For each shortlisted thread + identified angle, write a comment:

  • Length: 80–150 words; up to 200 words on highly technical threads only
  • Style: Sentence case, technical first-person, no em-dashes (replace with commas, colons, or semicolons)
  • Structure: State the angle clearly; cite a specific technical example, counterexample, or design principle; offer a lever or next-step question (optional)
  • List form: Only if items are mutually exclusive and independent; trim ruthlessly

What to capture: 4–5 ready-to-post comments, each tagged with thread URL, reply target (top-level or reply-to username), character count, why-this-thread, why-this-angle.

Step 5 — Write plan document

Output a markdown file (karma-plan-YYYY-MM-DD.md) with:

  1. 4–5 comments in copy-paste-ready form, each with: thread URL, reply target username, why-this-thread (topic relevance), why-this-angle (gap it fills)
  2. Posting order + spacing guidance (e.g., "Post #1 immediately, wait 2 hours before #2 to avoid clustering")
  3. Quality checklist: character count, no em-dashes, no self-promo, sentence case, engagement signal (question or concession)

What to capture: Complete, executable plan file with all comments and meta-instructions.

What's next?

Review the karma plan and post the comments in the recommended order, then track upvote counts over 24–48 hours.
If a comment gets buried (0 or negative votes after 12 hours), analyze why and refine the angle-selection rule for tomorrow's batch.
Once the account reaches 50+ karma, test a URL submission on a moderately active thread to measure community reception.

Notes for the model

  • Sweet-spot justification: Threads with 50–200 points and 30–150 comments are in the "rising" phase—high visibility, not yet buried. Threads 1–8 hours old are still accumulating comments and upvotes. Older threads decay; hotter threads drown out new voices.
  • Angle mining is critical: The skill's ROI depends on surfacing a perspective no one else has articulated. Read the top comments carefully. Look for contradictions, unstated assumptions, or domain-specific details the mainstream discussion glosses over. This is where karma comes from.
  • Word count exception: Allow up to 200 words only on threads already rich in technical discussion (e.g., deep dives on Rust internals, distributed systems, compiler design). Stay strict on 80–150 for softer topics.
  • Em-dash rule: HN's classic style eschews em-dashes. Replace "—" with commas, colons, or semicolons. "tool A — which does X" becomes "tool A, which does X" or "tool A: does X."
  • No self-promo: Do not link to personal projects, products, or blog unless it is a direct, earned reference to prior art. Do not mention the founder's own account or business.
  • Timing: Post during hours when the target thread is still active (check comment velocity). Avoid posting all at once; space them 2–4 hours apart to maximize independent visibility.
  • Fallback if thread is slow: If fewer than 4 threads qualify, include a note in the plan: "Only 3 threads qualified today; recommend expanding expertise scope or checking HN/best again in 4 hours."

Error handling

Error Diagnosis Tell the user
HN front page unreachable (HTTP 5xx) Server issue or rate-limiting. "HN is temporarily unavailable. Retry in 10 minutes or fetch /best instead."
Fewer than 4 qualifying threads after filtering Too few active threads in expertise area today, or filter is too strict. "Only N threads qualified today. Consider broadening expertise keywords or lowering point floor to 40. Proceeding with N comments."
All top comments on a thread are already 200+ words Angle may be saturated. "This thread's top comments are already exhaustive. Consider skipping it or waiting 2 hours for decay."
Identified angle requires 250+ words to explain Scope creep; angle is too complex for the format. "This angle needs too much context. Simplify to one technical counterexample or pick a different thread."
安全使用建议
Install only if you are comfortable using an agent to draft public Hacker News comments for reputation-building. Review each draft manually, avoid spam or coordinated manipulation, and consider asking for preview-only output instead of saving a karma plan file.
能力评估
Purpose & Capability
The artifact coherently matches its stated purpose: fetch public HN threads, analyze existing comments, and draft ready-to-post replies. The purpose is reputation-building on a public platform, which is spam-adjacent if used carelessly, but the skill does not automate posting or hide that goal.
Instruction Scope
The workflow is structured and mostly scoped to user-supplied expertise areas, but some trigger phrases such as writing HN posts or composing HN replies are broad enough to activate during ordinary writing help.
Install Mechanism
The package contains only SKILL.md, no executable scripts, no dependencies, and no install-time commands. Static scan and VirusTotal telemetry were clean.
Credentials
The requested access is proportionate to the purpose: read public Hacker News pages and create a local markdown plan. No private files, account sessions, API keys, or local credential stores are requested.
Persistence & Privilege
The skill directs the agent to write a dated markdown plan containing drafted comments and timing guidance. This persistence is disclosed in the workflow and is not executable, but users should know the file may contain public-posting strategy.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install improve-hn-karma
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /improve-hn-karma 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v0.1.0
initial publish
元数据
Slug improve-hn-karma
版本 0.1.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

improve-hn-karma 是什么?

Generate daily batches of 4–5 tailored Hacker News comments in your expertise area to build karma on active, high-visibility threads with fresh technical ang... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 69 次。

如何安装 improve-hn-karma?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install improve-hn-karma」即可一键安装,无需额外配置。

improve-hn-karma 是免费的吗?

是的,improve-hn-karma 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

improve-hn-karma 支持哪些平台?

improve-hn-karma 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 improve-hn-karma?

由 rabgpt(@rabgpt)开发并维护,当前版本 v0.1.0。

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