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 skills add brainbytes-dev/everything-claude-marketing --skill social-x-twittergit clone --depth 1 https://github.com/brainbytes-dev/everything-claude-marketingWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/brainbytes-dev/everything-claude-marketing/social-x-twitter)<a href="https://agentmods.dev/skills/brainbytes-dev/everything-claude-marketing/social-x-twitter"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/social-x-twitter/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/brainbytes-dev/everything-claude-marketing/social-x-twitter"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/social-x-twitter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What 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 5.1 | $0.00027 | $0.01990 |
| Opus 5.5 | $0.00011 | $0.00796 |
| Sonnet 5.5 | $0.00005 | $0.00398 |
| Haiku 4.5 | $0.00003 | $0.00199 |
Grade A, and why
social-x-twitter 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 2mo ago.
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 — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.
X/Twitter Content Strategy
When to Activate
Use this skill when:
- Writing individual tweets or tweet threads
- Developing an X/Twitter content calendar
- Optimizing engagement and follower growth
- Building brand presence or thought leadership on X
- Creating viral or high-reach content strategies
- Advising on algorithm-friendly posting tactics
First Questions
Before creating X content, clarify:
- What is the account's purpose? (personal brand, company, product, media)
- Who is the target audience? (industry, interests, level of sophistication)
- What is the primary goal? (awareness, engagement, traffic, leads, community)
- What is the current follower count and engagement rate?
- What topics or content pillars does the account cover?
- Is this for organic content, paid promotion, or both?
Core Rules
- One idea per tweet. Tweets that try to say two things say nothing.
- Front-load value. The first line must earn the second line.
- Write for scrollers. You have 0.3 seconds to stop a thumb. Lead with a hook.
- Engagement begets engagement. Reply to every reply in the first hour.
- Threads are the blog posts of X. Use them for depth; use single tweets for punches.
- Hashtags are almost dead on X. Use 0-1 per tweet max. Keywords in natural language matter more.
- Quote tweets are opinion amplifiers. Use them to add perspective, not just reshare.
- Consistency beats virality. Post daily; aim for 3-5 tweets minimum.
Algorithm Signals (Ranked by Weight)
- Replies — strongest signal. Tweets that generate conversation get distributed further.
- Dwell time — how long someone pauses on your tweet. Longer text, threads, and images increase dwell.
- Retweets/Reposts — signal broad relevance.
- Likes — weakest positive signal but still counts.
- Profile visits after seeing tweet — signals curiosity, boosts distribution.
- Bookmarks — strong signal of high-value content.
- Link clicks — external links are suppressed; links in replies or quote tweets perform better.
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.
- 2mo ago First seen · 198 lines · 27 tokens per session scan A 76117d2b853f
social-x-twitter is a skill published in the GitHub repository brainbytes-dev/everything-claude-marketing (10 stars, last pushed 7mo ago), licensed MIT. It adds 27 tokens to every session and 1,990 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.
social-x-twitter compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| social-x-twitterbrainbytes-dev/everything-claude-marketing | Skill | 10 | 7mo ago | MIT | A | 27 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |