gingiris-twitter-agent-ops
gingiris-twitter-agent-ops is a Social media content skill for AI agents, published by Gingiris-1031 in the gingiris-skills repository on GitHub. Skillspace rates gingiris-twitter-agent-ops D (67/100) and it passed the safety scan; the rating is based on static analysis only.
🇺🇸 You know you should post on X every day, but writing tweets eats your evenings — and when an AI writes them for you, they sound nothing like you. This skill turns any AI agent into a ghostwriter that actually sounds like you, with a battle-tested SOP that grew a real account +60% in 45 days, fully agent-operated. What's inside: • Persona calibration system — voice guide, expression rules, dead-opener blacklist • Fact-source database (SOURCE-INDEX) — zero fabricated numbers, every stat traceable • Weekly scheduling system with dedup checks and golden time windows • 6 hard safety rules + pre-publish QC (triple-translation test + 5-point checklist) • Tweet-log & weekly report analytics loop • Content methodology from 3,861-tweet dataset analysis (4 archetypes, golden length, visibility principles) • Real case: 1,150 → 1,837 followers (+60%) in 45 days, 1 tweet/day 🇨🇳 知道每天该发推,但写推文吃掉整个晚上——让 AI 代写,发出来又完全不像你。这套 SOP 让任何 AI agent 变成「像你本人」的推特代笔人:人设校准、素材库、排期、红线规则、发布前质检、数据复盘全流程,真实账号 45 天涨粉 60%…
- Grade
- D
- Quality
- 67 / 100
- Safety
- Passed
- GitHub stars
- 58
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 76 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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