Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add rules/jondoescoding/jondoescoding-coding-rules/twitter-thread-creationgit clone --depth 1 https://github.com/jondoescoding/jondoescoding-coding-rulesWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00000 | $0.01732 |
| Opus 5 | $0.00000 | $0.00866 |
| Sonnet 5 | $0.00000 | $0.00346 |
| Haiku 4.5 | $0.00000 | $0.00173 |
Grade A, and why
twitter-thread-creation scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 254 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Content Creator's Guide for Viral Twitter Threads
Overview
This guide helps you systematically prompt AI to create high-performing Twitter threads that consistently get 100+ likes. Built for content creators using a human-in-the-loop approach.
Step 1: Topic Ideation Prompt
Initial Prompt Template:
I'm a content creator looking to create viral Twitter threads.
Generate 10 thread topics that would appeal to:
- [Your target audience 1]
- [Your target audience 2]
- [Your target audience 3]
- [Your target audience 4]
Topics should be:
- Timely and relevant
- Personally relatable
- Educational but accessible
- Controversy-free but engaging
Format as: "Topic: [Brief description] - Hook potential: [1-10]"
Human Review Step:
- Pick the topic with highest hook potential that you're genuinely excited about
- Consider your recent experiences or learnings you can add personal insight to
Step 2: Thread Structure Planning
Structure Prompt Template:
Help me plan a Twitter thread about: [CHOSEN TOPIC]
Create an outline with:
1. Hook tweet (with 3 variations to test)
2. Preview tweet (what readers will learn)
3. 5-8 main content tweets (one key point each)
4. Personal insight tweet (story/experience)
5. Call-to-action tweet
For each tweet, include:
- Main message
- Suggested formatting (bullets, emojis, line breaks)
- Engagement elements (questions, relatable moments)
Target thread length: 7-10 tweets total
Tone: Conversational, helpful, authentic
Human Review Step:
- Ensure the flow tells a complete story
- Verify you have personal experiences to share for the insight tweet
- Adjust length if needed (shorter often performs better)
Step 3: Hook Optimization
Hook Refinement Prompt:
I need to perfect the hook for my Twitter thread about: [TOPIC]
Current hook options:
[PASTE THE 3 VARIATIONS FROM STEP 2]
Create 5 additional hook variations that:
- Start with curiosity/intrigue
- Include numbers or specific outcomes when possible
- Promise clear value
- Use power words (without being clickbait-y)
- Are under 280 characters
Also suggest an eye-catching visual idea for the first tweet.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday First seen · 254 lines · 0 tokens per session scan A 02b13ec3a792
twitter-thread-creation is a cursor rule published in the GitHub repository jondoescoding/jondoescoding-coding-rules (2 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,732 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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