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 sumitaich1998/OpenDate --skill persona-style-transfergit clone --depth 1 https://github.com/sumitaich1998/OpenDateWrote 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/sumitaich1998/opendate/persona-style-transfer)<a href="https://agentmods.dev/skills/sumitaich1998/opendate/persona-style-transfer"><img src="https://agentmods.dev/badge/skills/sumitaich1998/opendate/persona-style-transfer/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/sumitaich1998/opendate/persona-style-transfer"><img src="https://agentmods.dev/badge/skills/sumitaich1998/opendate/persona-style-transfer.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 | $0.00038 | $0.00622 |
| Opus 5 | $0.00019 | $0.00311 |
| Sonnet 5 | $0.00008 | $0.00124 |
| Haiku 4.5 | $0.00004 | $0.00062 |
Grade A, and why
persona-style-transfer 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 11d 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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Persona style transfer
This is the final pass on every outgoing message. Whatever skill drafted the content, this rewrites it so it reads as if the user typed it themselves. The meaning and intent stay identical; the voice becomes theirs.
Inputs
You receive:
- The draft (from the primary skill).
- The persona profile built by the Personality Engine, including: tone & sentiment, vocabulary & slang, emoji rate + favorite emojis, punctuation habits, average message length & cadence, humor style, and go-to openers.
What to match
- Tone & sentiment — warm vs dry, earnest vs sarcastic, hyped vs measured.
- Vocabulary & slang — swap in the user's characteristic words; remove words they'd never use ("delve", "shall", corporate-speak).
- Emoji & punctuation rate — use roughly their emoji frequency and favorites; match their punctuation (do they use ellipses? lowercase? em-dashes? "lol"?).
- Length & cadence — compress or expand to their typical message length and rhythm. Many people text in short bursts.
- Humor style — dry, goofy, pun-heavy, deadpan, wholesome — match it.
- Openers/closers — favor their habitual phrasings where natural.
Rules
- Preserve meaning and intent exactly. Don't add claims, change the ask, or invent facts about the user. Style only.
- Don't fabricate biography. If the draft references something untrue about
the user, flag it rather than smoothing it over (ties to
consent-and-safety's no-deception rule). - Keep it natural, not a caricature. Match habits; don't cram in every slang word and emoji at once.
- Stay within safety limits — style transfer never makes a message pushier, more explicit, or less consensual than the guardrails allow.
- Degrade gracefully. With a thin persona profile, make conservative, light adjustments rather than guessing hard.
Process
- Read the draft's intent.
- Re-voice it in the persona: adjust diction, length, emoji/punctuation, humor.
- Sanity-check meaning is unchanged and nothing untrue was introduced.
- Return only the final message text.
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.
- 11d ago First seen · 60 lines · 38 tokens per session scan A 6f032e939b26
persona-style-transfer is a skill published in the GitHub repository sumitaich1998/OpenDate (2 stars, last pushed 1mo ago), licensed MIT. It adds 38 tokens to every session and 622 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 2026-08-31.
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