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 vstorm-co/content-skills --skill content-twittergit clone --depth 1 https://github.com/vstorm-co/content-skillsWrote 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/vstorm-co/content-skills/content-twitter)<a href="https://agentmods.dev/skills/vstorm-co/content-skills/content-twitter"><img src="https://agentmods.dev/badge/skills/vstorm-co/content-skills/content-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/vstorm-co/content-skills/content-twitter"><img src="https://agentmods.dev/badge/skills/vstorm-co/content-skills/content-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 | $0.00037 | $0.01226 |
| Opus 5 | $0.00018 | $0.00613 |
| Sonnet 5 | $0.00007 | $0.00245 |
| Haiku 4.5 | $0.00004 | $0.00123 |
Grade A, and why
content-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 10d 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 — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
X/Twitter Content Generation
Before You Start
-
Check for brand voice: Read
brand/VOICE.mdif it exists. Adapt the brand voice for X's more informal, direct tone. If no voice file exists, default to conversational, direct, and personality-forward. -
Determine content format: Decide between a single tweet and a thread based on the content.
-
Gather inputs: Topic, key message, target audience, any links or media to include, desired CTA.
Thread vs. Single Tweet Decision
Use a single tweet when:
- The idea fits in one punch (under 280 characters)
- You are sharing a link with commentary
- You are making a bold claim or hot take
- You are asking a question
Use a thread when:
- The topic requires explanation or multiple steps
- You are telling a story
- You are breaking down a complex idea
- You want to maximize engagement through a multi-part narrative
Hook-First Writing
The first tweet (whether standalone or the start of a thread) must stop the scroll. It is the most important piece of content you write.
Rules for hooks:
- Lead with the most interesting, surprising, or valuable part of your content
- Never open with context or background. Start with the payoff, then backfill.
- The hook must work without the reader knowing anything about you or your topic
- If your hook starts with "So," "Just," or "I think," rewrite it
Reference hook-patterns.md for proven hook formulas with examples.
Thread Structure
Every thread follows this three-act structure:
Act 1: Hook (Tweet 1)
- Stop the scroll
- Create a curiosity gap or deliver an immediate value promise
- Include a signal that a thread is coming ("A thread:" or the /thread emoji or a numbered "1/")
Act 2: Value (Tweets 2 through N-1)
- Each tweet must stand alone as a valuable insight, even out of context
- Number your tweets for easy reference and readability
- Keep each tweet focused on one point
- Use line breaks within tweets for readability
- Include specifics: data, examples, names, numbers
- Vary tweet length: some punchy (1-2 lines), some fuller (3-4 lines)
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 140 lines · 37 tokens per session scan A 7e9bc87a0f1d
content-twitter is a skill published in the GitHub repository vstorm-co/content-skills (22 stars, last pushed 4mo ago), licensed MIT. It adds 37 tokens to every session and 1,226 once invoked, about $0.0002 per session on Opus 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 2026-08-30.
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