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 sergebulaev/x-skills --skill x-reply-draftergit clone --depth 1 https://github.com/sergebulaev/x-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/sergebulaev/x-skills/x-reply-drafter)<a href="https://agentmods.dev/skills/sergebulaev/x-skills/x-reply-drafter"><img src="https://agentmods.dev/badge/skills/sergebulaev/x-skills/x-reply-drafter/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/sergebulaev/x-skills/x-reply-drafter"><img src="https://agentmods.dev/badge/skills/sergebulaev/x-skills/x-reply-drafter.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 | $0.00128 | $0.01839 |
| Opus 5.5 | $0.00051 | $0.00736 |
| Sonnet 5.5 | $0.00026 | $0.00368 |
| Haiku 4.5 | $0.00013 | $0.00184 |
Grade A, and why
x-reply-drafter 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 12d 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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
X Reply Drafter
Drafts a reply in a thread, or a quote tweet, for a specific tweet. On X a reply is just a tweet posted in-reply-to another, and replies nest naturally: there is no LinkedIn-style 2-level flattening and no parent-comment URN to resolve.
When to use
- User pastes a tweet URL and says "reply to this"
- A creator replied to the user and they want to continue the thread
- User wants to quote-tweet a take and add value (not a cheap dunk)
Input
An X tweet URL (x.com/HANDLE/status/ID or the twitter.com equivalent), plus
the tweet text (and any thread context) pasted by the user, since this bundle
has no built-in tweet reader.
Output
- 1-3 reply or quote-tweet drafts, each under 280 chars
- A reply vs quote tweet recommendation with the reason
- A short context summary (who said what)
- An approval card. On approval the draft is returned as a copy-paste block.
Reply vs quote tweet
| Use a reply when | Use a quote tweet when |
|---|---|
| You are adding to the conversation in place | Your addition deserves its own reach |
| You are answering a question or engaging a creator | Your followers should see the original for context |
| You want intimacy over reach | You want reach and a take on your own timeline |
Default to a reply for direct engagement and a quote tweet when the user's point is strong enough to stand as its own post. Never quote-dunk on a small account; add value or skip it.
Steps
Voice profile first (all drafts). If ../../references/voice-profile.md has filled: yes, load it and match the user's voice fingerprint, hard rules, and CTA/link style throughout. If it is not filled, mention once that x-humanizer --mode profile can learn their voice from a few posts, then proceed with the generic voice rules.
Story bank next. If ../../references/story-bank.md has filled: yes, load it and take every concrete detail (numbers, dates, named projects, positions) from there instead of asking mid-draft. Never invent a figure, a date or a client name that is not in the bank or supplied by the user in this conversation. If the bank has nothing that fits, ask the user, or say once that x-humanizer --mode interview fills it in 20 to 40 minutes. A draft with a plausible invented number is worse than a draft with none: one is vague, the other is a retraction.
What ships with it
1 file 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.
- 12d ago Changed · +13 lines 03fb9755608a
- 24d ago Changed · +2 lines 8201dd68d646
- 1mo ago Changed 780d835b907b
- 1mo ago Changed · +3 lines fe465ce1d09c
- 1mo ago First seen · 119 lines · 128 tokens per session scan A 69beaf233839
x-reply-drafter is a skill published in the GitHub repository sergebulaev/x-skills (158 stars, last pushed today), licensed MIT. It adds 128 tokens to every session and 1,839 once invoked, about $0.0005 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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