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BytesAgain X Algorithm Guide

作者 loutai0307-prog · GitHub ↗ · v1.1.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install bytesagain-x-algorithm-guide
功能描述
Audit and optimize X (Twitter) posts using bash-based 2026 algorithm rules and growth tactics. Use when drafting tweets, checking content before posting, rev...
使用说明 (SKILL.md)

bytesagain-x-algorithm-guide

Audit and optimize X (Twitter) posts using bash-based 2026 algorithm rules and real growth tactics. Based on open-source X algorithm code and verified creator case studies (4,500 followers / 5M views in 30 days).

Commands

summary

Print the 10 core algorithm rules with engagement weights from open-source code.

bash scripts/script.sh summary

audit

Audit a tweet and score it against 2026 algorithm rules. Flags links in body, excess hashtags, character count.

bash scripts/script.sh audit "Your tweet text here"

checklist

Print the 8-point pre-post checklist.

bash scripts/script.sh checklist

draft

Generate two tweet draft templates following 2026 algorithm rules.

bash scripts/script.sh draft "AI agents for developers"

growth

Print the 30-day growth playbook: daily actions, content mix strategy, and engagement tactics from verified creator case studies.

bash scripts/script.sh growth

Key 2026 Algorithm Rules

Based on open-source X algorithm code (github.com/twitter/the-algorithm):

  1. No links in main tweet — 30-50% reach penalty; put links in first reply
  2. Max 1-2 hashtags — more than 2 causes 40% penalty
  3. Pure text beats video by 30% — X is the only platform where this is true
  4. Reply every genuine comment in first hour — weight +75 (150x a like)
  5. Bookmarks signal value — weight +10 (20x a like)
  6. Premium accounts get 10x reach vs free accounts
  7. Post 3-5 times per day, 30-60 min apart
  8. TweepCred threshold is 65 — below 65, only 3 tweets get distributed
  9. Grok reads tone — positive content gets more reach
  10. Long posts outperform threads — 2+ min read time gets +10 weight

Growth Playbook (Verified: 4,500 followers / 5M views in 30 days)

  • Daily: 30-50 high-quality replies under top creator posts (not "lol" — real opinions)
  • Daily: 3-5 original tweets (not more — new accounts get penalized for volume)
  • Daily: Follow 5-10 accounts in your niche
  • Content mix: 80% broad/relatable + 20% niche expertise
  • Week 1-2: Focus entirely on engagement, not posting
  • Open Premium early — comments get priority ranking, platform treats you as legitimate

Requirements

  • bash 4+

Feedback

https://bytesagain.com/feedback/ Powered by BytesAgain | bytesagain.com

安全使用建议
This skill appears internally consistent and safe: it runs a local bash script that scores and drafts tweets without network access or credential use. Before installing, consider that the algorithm claims and growth metrics are author-provided and may not be universally accurate—treat recommendations as heuristics, not guarantees. If you plan to integrate this into an automated posting workflow, confirm it does not add posting credentials and test outputs on a non-critical account first.
功能分析
Type: OpenClaw Skill Name: bytesagain-x-algorithm-guide Version: 1.1.0 The skill bundle is a legitimate utility for auditing and optimizing X (Twitter) posts based on algorithm rules. The bash script (scripts/script.sh) performs basic text analysis using grep and echo, and the SKILL.md provides clear, non-malicious instructions for the AI agent without any signs of data exfiltration, persistence, or harmful prompt injection.
能力评估
✓ Purpose & Capability
Name/description (X/Twitter audit & growth) align with included SKILL.md and the bash script which implements summary, audit, draft, checklist, and growth commands. No unrelated binaries, env vars, or config paths are requested.
✓ Instruction Scope
SKILL.md simply instructs running the included scripts for the listed commands. The script only analyzes text (grep/wc/string length) and prints guidance; it does not read arbitrary files, environment variables, or send data externally.
✓ Install Mechanism
There is no install spec; this is an instruction-only skill with a bundled shell script. No downloads or archive extraction occur during install.
✓ Credentials
The skill requests no environment variables, credentials, or config paths. The functionality (text checks and templates) legitimately needs no secrets or external credentials.
✓ Persistence & Privilege
always is false and the skill does not request persistent system changes or access to other skills' configs. It does not attempt autonomous privilege escalation.
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 bytesagain-x-algorithm-guide
  3. 安装完成后，直接呼叫该 Skill 的名称或使用 /bytesagain-x-algorithm-guide 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
v1.1.0
New: growth command — 30-day playbook from verified creator case study (4500 followers/5M views)
v1.0.4
Fix: removed xAI API references, added Feedback section, GitHub source URL, bash-only per SKILL_STANDARD
v1.0.3
Rewrite: pure bash only, no external deps, all English, SKILL_STANDARD compliant
v1.0.2
Fix: quoted heredoc, env var injection for xAI draft; SKILL_STANDARD compliant
v1.0.1
Added YAML frontmatter with homepage/source/tags; Requirements section; full SKILL_STANDARD compliance
v1.0.0
2026 X algorithm deep dive: 10 rules, tweet auditor, checklist, AI draft generator
元数据
Slug bytesagain-x-algorithm-guide
版本 1.1.0
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 6
常见问题

BytesAgain X Algorithm Guide 是什么？

Audit and optimize X (Twitter) posts using bash-based 2026 algorithm rules and growth tactics. Use when drafting tweets, checking content before posting, rev... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 117 次。

如何安装 BytesAgain X Algorithm Guide？

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

BytesAgain X Algorithm Guide 是免费的吗？

是的，BytesAgain X Algorithm Guide 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。

BytesAgain X Algorithm Guide 支持哪些平台？

BytesAgain X Algorithm Guide 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 BytesAgain X Algorithm Guide？

由 loutai0307-prog（@loutai0307-prog）开发并维护，当前版本 v1.1.0。

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