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 Morningstar202604/awesome-skillkit --skill own-voice-rewritegit clone --depth 1 https://github.com/Morningstar202604/awesome-skillkitWrote 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/morningstar202604/awesome-skillkit/own-voice-rewrite)<a href="https://agentmods.dev/skills/morningstar202604/awesome-skillkit/own-voice-rewrite"><img src="https://agentmods.dev/badge/skills/morningstar202604/awesome-skillkit/own-voice-rewrite/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/morningstar202604/awesome-skillkit/own-voice-rewrite"><img src="https://agentmods.dev/badge/skills/morningstar202604/awesome-skillkit/own-voice-rewrite.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 | $0.00193 | $0.05405 |
| Opus 5.5 | $0.00077 | $0.02162 |
| Sonnet 5.5 | $0.00039 | $0.01081 |
| Haiku 4.5 | $0.00019 | $0.00541 |
Grade A, and why
own-voice-rewrite 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 20d 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 — 418 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Own Voice Rewrite (Student-Voice Rewrite)
AI first drafts are neat but cold, obviously machine-made. This skill is the "warmth" core of the homework-autopilot chain: change solution-drafter's first draft into the student's own language, replace empty phrases with real material, then hand to ai-trace-auditor for re-check—the final draft must survive the teacher asking "did you write this? tell me how you thought about it."
v2.0 key upgrade: the old version only "lowered by grade level"—that makes her write like a middle schooler, not like herself. The new version adds a real calibration path: as long as the student can provide a piece of their own past writing, use it to extract a language fingerprint; when no sample is available, fall back to grade level and honestly declare it a proxy, not alignment.
Applicability Decision Table
| Your Situation | This Skill's Role | Go To |
|---|---|---|
| Have a draft, want it to sound like the student wrote it | yes, this skill | here |
| Need to write from scratch (no draft) | wrong order | solution-drafter first to produce draft |
| Only want to reduce AI trace, don't care "who it sounds like" | available but lower-tier | humanize-rewriter more direct |
| Want to check how much machine trace remains in final | yes, step 4 uses | ai-trace-auditor |
| Student can't provide any of their old writing | go grade-level proxy path, declare limitation | step 0 branch B |
| "Guarantee it passes AI detection" | refuse | red line 4 |
Input Checklist
| Input | Required | Notes |
|---|---|---|
| draft | yes | solution-drafter draft JSON; must contain content / used_materials / checklist_pass |
| Grade and subject | yes | "8th-grade Chinese"—determines language level calibration band |
| Voice sample | no (but strongly recommended) | Student's own past writing (journal/weekly note/social media long post all OK); with it, take "voice alignment" path (step 0) |
| Supplementary material | no | material gaps found during rewriting, allows one mid-pass supplement |
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.
- 20d ago Changed · +144 lines · -19 tokens per session 0bf950df3957
- 21d ago Changed · +105 lines · +39 tokens per session 4182aaa8f709
- 25d ago First seen · 169 lines · 173 tokens per session scan A d25488397964
own-voice-rewrite is a skill published in the GitHub repository Morningstar202604/awesome-skillkit (0 stars, last pushed 15d ago), licensed Apache-2.0. It adds 193 tokens to every session and 5,405 once invoked, about $0.0008 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 2026-09-19.
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