Twitter Cultivate
Twitter/X account cultivation and growth system. Checks account health (TweepCred, shadowban), analyzes tweets, finds engagement opportunities, recommends unfollows, and tracks progress. Triggers on "/twitter-cultivate", "check my twitter", "twitter health", "grow my twitter", "twitter maintenance", "fix my twitter reach".
Install
$ agentstack add skill-phy041-claude-skill-twitter-twitter-cultivate ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-phy041-claude-skill-twitter-twitter-cultivate) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Twitter Account Cultivation Skill
Systematic approach to growing Twitter presence based on the open-source algorithm analysis.
Prerequisites
- rnet installed (
pip install "rnet>=3.0.0rc20" --pre) - rnet_twitter.py — the lightweight GraphQL client included in this repo
- Twitter cookies exported to:
twitter_cookies.json
Format: [{"name": "auth_token", "value": "..."}, {"name": "ct0", "value": "..."}]
- Your Twitter handle configured
Getting Cookies
- Open Chrome → go to
x.com→ log in - DevTools → Application → Cookies →
https://x.com - Copy
auth_tokenandct0values - Save to
twitter_cookies.json(seetwitter_cookies.example.json) - Cookies last ~2 weeks. Refresh when you get 403 errors.
Core Metrics to Track
| Metric | Healthy Range | Impact | |--------|---------------|--------| | Following/Follower Ratio | 50% | 10x engagement | | Link Tweet % | **= 50 and t["reply_count"] 5.0 | 5.0 (following >> followers):
- Unfollow 100+ inactive/non-engaging accounts
- Target: ratio < 5.0 as first milestone
Phase 2: Content Upgrade (Week 2-4)
If you have 0% media tweets:
- Add image/video to EVERY tweet
- Use Canva/Figma for quick graphics
- Screenshot interesting data/insights
Phase 3: Engagement Building (Week 3-6)
- Reply to 20+ tweets/day in your niche
- Quote tweet viral content with your take
- Join relevant Twitter communities
- DM potential collaborators
Phase 4: Consistency (Ongoing)
- 3-5 tweets/day
- Reply to 100% of comments
- Weekly analysis and adjustment
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: PHY041
- Source: PHY041/claude-skill-twitter
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.