Linux.do Application Writer

v1.0.0

Craft high-pass-rate, de-AI'd Chinese applications (小作文) for Linux.do registration. Conducts an adaptive survey to learn the applicant's real background, the...

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for clarezoe/linuxdo-application.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Linux.do Application Writer" (clarezoe/linuxdo-application) from ClawHub.
Skill page: https://clawhub.ai/clarezoe/linuxdo-application
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install linuxdo-application

ClawHub CLI

Package manager switcher

npx clawhub@latest install linuxdo-application
Security Scan
Capability signals
Crypto
These labels describe what authority the skill may exercise. They are separate from suspicious or malicious moderation verdicts.
VirusTotalVirusTotal
Benign
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OpenClawOpenClaw
Benign
high confidence
Purpose & Capability
Name/description match the actual behavior: an instruction-only workflow that runs an adaptive interview and generates a short Chinese application text. It requires no binaries, env vars, or external services, which is proportionate for this content-generation task.
Instruction Scope
SKILL.md stays within the claimed scope: it asks the user questions, collects four information blocks, generates drafts, runs local textual checks (risk check + de-AI checklist), and outputs plain text. Note: the instructions explicitly aim to remove AI markers ('de-AI') to increase pass rate; this is coherent with the stated goal but is a potential misuse vector (evading moderation/AI-detection), not a technical incoherence.
Install Mechanism
No install spec and no code files beyond documentation; instruction-only skills have low filesystem footprint and nothing is downloaded or extracted.
Credentials
The skill requests no environment variables, credentials, or config paths. It solicits personal background from the user (expected for generating an application); users should avoid sharing sensitive PII, but the requested inputs are proportional to the skill's purpose.
Persistence & Privilege
always:false and no install means the skill has no persistent or privileged presence. It does not modify other skills or system settings.
Assessment
This skill is internally consistent: it asks you questions and uses your answers to produce a short, rule-aware Chinese application for Linux.do and includes explicit de-AI checks. Before installing or using it, consider: (1) ethical and policy implications — the tool is designed to remove AI-style markers and may be used to evade moderation or detection; ensure you comply with Linux.do's terms and community rules. (2) Privacy — the agent will ask for personal/background details; do not provide sensitive identifiers (ID numbers, passwords, private contact info). (3) Verification — always read the generated text and confirm it truthfully represents you before submitting. (4) Safety — the skill has no external network calls or credential requests, so the main risk is misuse of the generated content rather than technical exfiltration.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

📝 Clawdis
chinesevk970rcwkrccgynzp2ta1q6vt7d84z9ktcontent-generationvk970rcwkrccgynzp2ta1q6vt7d84z9ktlatestvk970rcwkrccgynzp2ta1q6vt7d84z9ktlinuxdovk970rcwkrccgynzp2ta1q6vt7d84z9kt
69downloads
0stars
1versions
Updated 1w ago
v1.0.0
MIT-0

Linux.do Application Writer

Generate a natural, high-pass-rate registration application for Linux.do through an adaptive interview followed by rule-aware, de-AI'd text generation.

Triggers

  • "write linux.do application"
  • "linux.do 小作文"
  • "linux.do 注册申请"
  • "help me apply to linux.do"

Quick Reference

InputOutputDuration
Answers to 5-8 survey questionsPlain text Chinese application (~80-150 chars)5-10 min

Process

Phase 1: Applicant Survey

Conduct an adaptive interview in Chinese to collect the 4 required info blocks. Ask one question at a time. Adapt follow-ups based on answers.

Core questions (ask in Chinese, adapt order based on flow):

  1. 你平时主要做什么?(工作、学习、兴趣方向)
  2. 你是怎么知道 Linux.do 的?(搜索、朋友推荐、看到某个帖子?)
  3. 你在上面浏览过哪些内容?有没有印象深的帖子或话题?
  4. 为什么现在想注册?有什么具体的需求或场景吗?
  5. 注册之后你打算怎么用?(潜水、回帖、关注某类话题、分享经验?)

Adaptive rules:

  • If an answer is vague (e.g., "想学习交流"), probe deeper: "具体想学什么?在哪看到过相关讨论?"
  • If an answer already covers multiple blocks, skip redundant questions
  • If the applicant mentions a specific post/topic, ask them to elaborate — this is gold
  • Stop when all 4 info blocks are covered (see references/linuxdo-rules.md)

Verification: Before moving to Phase 2, confirm internally:

  • Background covered (what they do/follow)
  • Discovery path covered (how they found the site)
  • Join reason covered (why register now, specific scenario)
  • Usage plan covered (what they'll do with the account)

If any block is missing, ask one more targeted question.

Phase 2: Draft Generation + Risk Check

Generate the application draft using collected info.

Generation rules:

  1. Write in first person, casual Chinese — like telling a friend why you signed up
  2. Target 80-150 characters. Not too short (looks lazy), not too long (looks try-hard)
  3. Weave all 4 info blocks naturally — do NOT use a 4-paragraph structure
  4. Use the applicant's own words and phrasing where possible
  5. No greetings, no sign-offs, no "你好" or "谢谢" — just the substance
  6. Allow sentence fragments, colloquialisms, and imperfect grammar
  7. Vary sentence length: mix short punchy lines with longer ones

Risk check — scan the draft against these (see references/linuxdo-rules.md):

Risk LevelCheck
HIGHDoes it mention background? Discovery path? Join reason?
HIGHIs there any concrete fact, or is it all fluff?
HIGHDoes it look like a template that could apply to anyone?
MEDIUMIs it only admiration/flattery without substance?
MEDIUMIs it only "I can contribute X" without explaining why here?
MEDIUMIs info density too low for the character count?

If any HIGH risk is triggered, rewrite before proceeding.

Phase 3: De-AI Polish + Final Output

Run the draft through the full de-AI checklist (see references/de-ai-checklist.md).

Audit steps:

  1. Check all 12 AI markers — flag and rewrite any matches
  2. Read the text as if you're a human reviewer — does it smell like AI?
  3. Apply the 3-question smell test:
    • Could you swap details and reuse this for someone else? → too generic
    • Does every sentence add new information? → cut filler
    • Would you text this to a friend? → loosen if too formal

Output: Present the final application as plain text in a code block. Tell the user in Chinese: "这是你的申请文,可以直接复制粘贴到注册页面。"

If the user wants changes, revise and re-run Phase 3 checks.

Anti-Patterns

AvoidWhyInstead
Parallel structures (我喜欢X,我热爱Y)AI marker #1Vary grammar patterns
三段式 (首先/其次/最后)AI marker #2Drop scaffolding
AI vocab (赋能/深耕/沉淀/赛道)AI marker #5Use plain spoken Chinese
Flattery (久仰大名/慕名而来)High-risk per rulesReplace with real discovery story
Generic motivation (想学习交流)Medium-risk per rulesState specific use case
Press-release toneAI marker #9Add 吧/嘛/其实/反正

Verification

After final output, confirm:

  • All 4 info blocks present
  • 80-150 characters
  • Zero high-risk patterns
  • Passes all 12 de-AI markers
  • Reads like a real person wrote it
  • Plain text, no formatting

Extension Points

  1. Rule updates: When Linux.do changes registration rules, update references/linuxdo-rules.md
  2. New AI markers: As AI detection evolves, add markers to references/de-ai-checklist.md
  3. Multi-community: Adapt the survey + rule framework for other invite-only communities

References

Related Skills

SkillUse When
wechat-compliance-checkNeed to check Chinese content for platform compliance
psychology-masterNeed deeper user profiling during survey
humanizer-zhAdditional de-AI processing for Chinese text

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