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 ihuzaifashoukat/x-use --skill x-use-contentgit clone --depth 1 https://github.com/ihuzaifashoukat/x-useWrote 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/ihuzaifashoukat/x-use/x-use-content)<a href="https://agentmods.dev/skills/ihuzaifashoukat/x-use/x-use-content"><img src="https://agentmods.dev/badge/skills/ihuzaifashoukat/x-use/x-use-content/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/ihuzaifashoukat/x-use/x-use-content"><img src="https://agentmods.dev/badge/skills/ihuzaifashoukat/x-use/x-use-content.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00048 | $0.00581 |
| Opus 5.5 | $0.00019 | $0.00232 |
| Sonnet 5.5 | $0.00010 | $0.00116 |
| Haiku 4.5 | $0.00005 | $0.00058 |
Grade A, and why
x-use-content 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 16d 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 — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.
x-use content
Research -> draft -> polish -> stage. Ordinary post tools stage only when
mcp.draft_mode is enabled (default); with it disabled they publish immediately.
Workflow
- Load the voice.
get_account(account), readpersonaandtarget_keywords. No persona set? Ask the user a couple of questions and set one viaupdate_account(account, persona=...)first (see x-use-setup). - Research the niche.
search_tweetsper keyword (limit 5). Note which formats earn engagement: hot takes, how-tos, charts, contrarian questions, build-in-public numbers.get_tweeton standouts to see their media. - Pick 3 angles. Tell the user the angles you see and let them steer.
- Draft one at a time. Write the post yourself in the persona (at most
280 chars; do not assume long-form account support), then
post_tweet(account, text=...)to stage it as a draft. Show it. Take the user's edits and re-stage if needed; reject the superseded pending draft to avoid approving the old text later. Polish each draft before the next. - Review. End with
list_drafts(account)and let the user choose:approve_draftto post now,queue_post-style scheduling viaqueue_post(account=..., text=..., not_before=<ISO 8601 timestamp>)for later, orreject_draft. Scheduling stores a separate final payload; inspect it vialist_queueand reject the superseded draft. Due work runs throughprocess_queue, or the opt-in auto-drain worker; enqueueing is not approval to publish unless the user's scheduling authorization covers it.
Rules
- Original text in the user's voice. Never repost someone else's wording.
- Media for posts: only local file paths the user provides
(
post_tweet(..., media=[path])). Never invent image files. - For X thread composition, use x-use-threads so the sequence is staged and its durable progress can be reviewed safely.
- Server-side generation (
generate_and_post,draft_post_variations) needs the configuredllmblock. Prefer explicit text for interactive work; no server LLM key is needed when you write it yourself.
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.
- 16d ago Changed · +5 lines d480eede2f63
- 1mo ago First seen · 39 lines · 48 tokens per session scan A c744c001cbd6
x-use-content is a skill published in the GitHub repository ihuzaifashoukat/x-use (179 stars, last pushed today), licensed MIT. It adds 48 tokens to every session and 581 once invoked, about $0.0002 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 2026-08-30.
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