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 OutThisLife/brooklyn-skills --skill draft-tweetgit clone --depth 1 https://github.com/OutThisLife/brooklyn-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/outthislife/brooklyn-skills/draft-tweet)<a href="https://agentmods.dev/skills/outthislife/brooklyn-skills/draft-tweet"><img src="https://agentmods.dev/badge/skills/outthislife/brooklyn-skills/draft-tweet/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/outthislife/brooklyn-skills/draft-tweet"><img src="https://agentmods.dev/badge/skills/outthislife/brooklyn-skills/draft-tweet.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 | $0.00032 | $0.00342 |
| Opus 5 | $0.00016 | $0.00171 |
| Sonnet 5 | $0.00006 | $0.00068 |
| Haiku 4.5 | $0.00003 | $0.00034 |
Grade A, and why
draft-tweet 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.
What it actually says
Draft Tweet
Write tweet options. Do not post unless they explicitly say to.
Match their voice
If xurl is installed and already authenticated, use it read-only to sample
the user's recent original posts before drafting:
xurl whoami
xurl posts @handle -n 30
If that version does not have xurl posts, use the user ID from xurl whoami:
xurl '/2/users/<id>/tweets?max_results=30&exclude=retweets,replies'
Infer their usual capitalization, punctuation, sentence length, vocabulary, link use, and emoji use. Match the patterns, not the subject matter. Do not quote old posts or mention that style sampling happened.
If xurl is missing or unauthenticated, draft from examples already in the
conversation. Do not block the task or ask them to configure X unless they
specifically request stronger style matching.
Output
2–4 options, each roughly ≤240 chars:
- Concrete claim or user benefit — no empty hype
- Little/no emoji; no engagement bait
- One link max if useful
- Run through
no-tropes
Don't
- Call
xurl post, reply, quote, DM, or any other write API unless asked - Invent performance numbers they didn't bless
- Default to a thread — offer one only if they want depth
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 · 50 lines · 32 tokens per session scan A a953e046eda3
draft-tweet is a skill published in the GitHub repository OutThisLife/brooklyn-skills (191 stars, last pushed 23d ago), licensed MIT. It adds 32 tokens to every session and 342 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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