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 MSApps-Mobile/claude-plugins --skill x-content-generatorgit clone --depth 1 https://github.com/MSApps-Mobile/claude-pluginsWrote 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/msapps-mobile/claude-plugins/x-content-generator)<a href="https://agentmods.dev/skills/msapps-mobile/claude-plugins/x-content-generator"><img src="https://agentmods.dev/badge/skills/msapps-mobile/claude-plugins/x-content-generator/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/msapps-mobile/claude-plugins/x-content-generator"><img src="https://agentmods.dev/badge/skills/msapps-mobile/claude-plugins/x-content-generator.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 | $0.00139 | $0.01378 |
| Opus 5.5 | $0.00056 | $0.00551 |
| Sonnet 5.5 | $0.00028 | $0.00276 |
| Haiku 4.5 | $0.00014 | $0.00138 |
Grade A, and why
x-content-generator 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 1mo 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 — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
X Content Generator — Create Community-Matched Content for X
Generate posts, threads, replies, and content calendars for X (Twitter) that match the tone, topics, and engagement patterns of a target community. Works best when combined with the x-insights skill for data-driven content creation.
Workflow
Step 1: Understand the Content Goal
Determine what the user needs:
- Single post: One-off tweet on a specific topic
- Thread: Multi-tweet deep dive on a topic
- Reply/engagement: Thoughtful responses to existing posts
- Content calendar: A planned series of posts over days/weeks
- Batch generation: Multiple posts on different topics at once
Also determine:
- Target audience: Who should this resonate with?
- Tone: Should it match a specific community's voice? (If so, suggest running x-insights first)
- Goal: Awareness, engagement, thought leadership, community building, information sharing?
Step 2: Gather Context
If insights are available (from a previous x-insights run or user-provided context):
- Use the community tone analysis to match voice and language
- Reference trending topics for relevance
- Mirror high-engagement post formats
- Avoid topics or tones that don't resonate
If no insights are available, ask the user:
- Describe the target community or audience
- Share examples of posts they like or that perform well
- Specify the tone they want (casual, professional, technical, curious, etc.)
- Mention any topics to focus on or avoid
Step 3: Generate Content
Single Posts
Write posts that:
- Lead with the most interesting point (hook)
- Stay focused on one clear idea
- Use language natural to the target community
- Include a call to engagement when appropriate (question, opinion invite)
- Respect X's character limits (280 for standard, longer for premium)
Threads
Structure threads that:
- Open with a compelling hook tweet that stands alone
- Build logically from point to point
- Include concrete examples or data
- End with a summary or call to action
- Number tweets if helpful (1/N format)
- Keep each tweet self-contained enough to be retweeted
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.
- 1mo ago First seen · 141 lines · 139 tokens per session scan A 6fd552bfc22a
x-content-generator is a skill published in the GitHub repository MSApps-Mobile/claude-plugins (9 stars, last pushed today), licensed MIT. It adds 139 tokens to every session and 1,378 once invoked, about $0.0006 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 2026-09-13.
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