Real Skill packageSource verifiedClawHub registry

x-algorithm-optimizer

Optimize posts for X's (Twitter's) For You feed algorithm, based on X's open-sourced ranking code. Use when the user wants to write, draft, review, or improve a post/tweet/thread for reach, engagement, or virality on X, for example "write a tweet about...", "make this post go viral", "why isn't my post getting reach", "optimize my thread for the algorithm", "review my tweet before I post". Grounds advice in the actual scoring weights, filters, and distribution mechanics rather than generic social-media tips.

Identity and source

Publisher attributionイツミネregistry owner unverified by skillvetai
Functional categoryWriting, Content & Translationautomatically inferred · 62% rule confidence
Package forminstruction with code15 recorded files
Canonical sourceClawHub registryclawhub:zfoong:x-algorithm-optimizer
Open canonical source ↗

Platform declarations

These states come from the source or distribution context. None of the entries below are SkillVetAI compatibility test results.

OpenClawnative officialProvenance: registry distribution

Independent structural checks

These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.

Claude Codepasses structure
Checker 0.1.0 · agent-skills-2026-08-13+claude-code-docs-2026-08-13 · 8/15/2026.claude/skills/x-algorithm-optimizer

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenAI Codexpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+codex-docs-2026-08-13 · 8/15/2026.agents/skills/x-algorithm-optimizer

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenClawpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+openclaw-docs-2026-08-13 · 8/15/2026skills/x-algorithm-optimizer

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

Installation and inspection

This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.

clawhub install @zfoong/x-algorithm-optimizer
clawhub inspect @zfoong/x-algorithm-optimizer --version 0.1.0

Security evidence

SkillVetAI static result: no findings detected

This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.

Status
completed
Coverage
full text content
Files
13 / 15 inspected as text
Checked
8/15/2026, 7:03:12 AM
Scanner
0.1.3
Policy
1.0.3
2 inferred permission indicators
  • network access — automatically inferred
  • filesystem write — automatically inferred
4 dependency and API indicators
  • api: clawhub.ai
  • api: docs.claude.com
  • api: github.com
  • api: img.shields.io
External clawhub result: clean

This is registry-supplied evidence for the recorded release, not an independent SkillVetAI scan. Check the canonical source for the full report, scanner versions, scope, and current moderation state.

Evidence checked
8/15/2026, 5:13:10 AM
Release binding
Matches this record
  • vt: clean
  • skillspector: clean
  • llm: clean

Recorded files

The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.

Package content hashsha256:27089e44a016f608648aabcf8385b7e685c26def0847a372a2c7a19ffd3b1553
Show up to 15 recorded paths
  • .gitignore
  • CONTRIBUTING.md
  • LICENSE
  • README.md
  • references
  • references/account-playbooks.md
  • references/distribution-mechanics.md
  • references/examples.md
  • references/myths.md
  • references/negative-signals.md
  • references/scoring-weights.md
  • scripts
  • scripts/post_critic.py
  • skill-card.md
  • SKILL.md

Source changelog

Initial release of x-algorithm-optimizer. - Optimizes posts for X's (Twitter's) "For You" feed using the official open-sourced ranking algorithm, not folk advice. - Provides step-by-step workflow: situation analysis, drafting for algorithmic priorities, suppression audit, and distribution tactics. - All recommendations are based on concrete weights, filters, and mechanics from X's actual codebase, with cited references for transparency. - Includes optional scoring tool for drafts, analyzing action-weighted score and risk factors. - Designed strictly for authentic, policy-compliant content; explicitly excludes any advice for spam or manipulation.