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 tobihagemann/turbo --skill github-voicegit clone --depth 1 https://github.com/tobihagemann/turboWrote 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/tobihagemann/turbo/github-voice)<a href="https://agentmods.dev/skills/tobihagemann/turbo/github-voice"><img src="https://agentmods.dev/badge/skills/tobihagemann/turbo/github-voice/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/tobihagemann/turbo/github-voice"><img src="https://agentmods.dev/badge/skills/tobihagemann/turbo/github-voice.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 | $0.00031 | $0.01081 |
| Opus 5.5 | $0.00012 | $0.00432 |
| Sonnet 5.5 | $0.00006 | $0.00216 |
| Haiku 4.5 | $0.00003 | $0.00108 |
Grade A, and why
github-voice 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 3d 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 — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub Voice
Writing Style
- No em dashes (
—) or double hyphens (--) used as dashes. Use periods, commas, colons, or restructure the sentence. - Write in a natural, human tone. Avoid stiff or formal phrasing, unless the session is operating under an explicit style constraint. That constraint governs GitHub text too, and the destination does not relax it.
- Don't over-explain. Say what needs saying, then stop. Answer a question with exactly what it asked, in the vocabulary it used.
- Leave evidence of correctness out of a PR body: a Verification section and test-count lines when CI runs the suite, lines listing the tests or changelog entry the change includes, and figures from a survey of live data. A statistic offered as reassurance reads as an open question rather than a finished change. Keep a measurement the change exists to produce.
- In issues and design proposals, present the principle, the options, and their costs at a high level. Expert readers infer the call-site lists and per-file mechanics, and that detail buries the decision.
- When explaining how the code works, describe its current behavior. Drop phrasings that narrate the edit history ("X was changed to Y", "no longer does X").
- Keep one term per concept, preferring the name the code uses. Once a thing has a name, repeat that name instead of rotating synonyms, and refer to a code element by its identifier rather than a shorthand the text never introduces.
- When the user has stated their reasoning in the conversation, mine it and write from that reasoning. A cleaner argument constructed afterwards reads as someone else's, however sound it is.
- When the user supplies wording for the artifact, that wording is the draft. Keep their phrasing rather than sharpening it into something more precise, more formal, or more technically careful. Where the phrasing names an effect and the mechanism differs, state the mechanism separately. Flagging the deviation to the user does not license it.
- Sound like the author, not like an AI assistant.
- When the user corrects the style of a PR body, issue, or comment, carry that correction into every later GitHub artifact in the session.
- Never attribute session-internal work to its tooling. Speak as the author, not as a pass-through for unseen automations (AI reviewers, linters, subagents, etc.). The recipient doesn't know about these tools.
- Composing prose in the user's voice is not the same as posting it. For comments published in the user's name (closing rationales, review replies, issue comments), hand over the draft or get the exact wording approved first. Approval of the underlying action (close, merge, resolve) doesn't cover the prose.
- Soften opinions when asking questions. Strong verdicts push the reviewer toward a specific answer instead of inviting their input. Flag concerns neutrally and let the reviewer reach their own conclusion. Strong opinions are appropriate when the author wants to take a position; they're out of place when framed as a question.
- Cut hedges that add no information ("perhaps", "possibly", "I think"). Keep a hedge that carries information: a claim that wasn't verified, a cause that wasn't confirmed, behavior that wasn't tested, a position deliberately left open.
- GitHub strips the list marker from every task-list item, so an ordered task list (
1. [ ]) renders exactly like- [ ]with no visible numbers. Use- [ ]for checklists and let item order carry the sequence. When the reader needs the numbers, write them into the item 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.
- 3d ago Changed · -24 tokens per session 8772b47d89b7
- 21d ago Changed caced58f4f8c
- 1mo ago Changed · +1 lines 98a18256c1e7
- 2mo ago First seen · 51 lines · 55 tokens per session scan A 481f28aed58a
github-voice is a skill published in the GitHub repository tobihagemann/turbo (420 stars, last pushed today), licensed MIT. It adds 31 tokens to every session and 1,081 once invoked, about $0.0001 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.
github-voice compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| github-voicetobihagemann/turbo | Skill | 420 | today | MIT | A | 31 | Claude Code |
| offensive-c2-frameworksSnailSploit/Claude-Red | Skill | 11k | yesterday | MIT | A | 250 | Claude Code, Codex |
| offensive-crypto-attacksSnailSploit/Claude-Red | Skill | 11k | yesterday | MIT | A | 261 | Claude Code, Codex |
| offensive-parameter-pollutionSnailSploit/Claude-Red | Skill | 11k | yesterday | MIT | A | 0 | Claude Code, Codex |
| offensive-z-waveSnailSploit/Claude-Red | Skill | 11k | yesterday | MIT | A | 113 | Claude Code, Codex |
| fiscalisteromainsimon/paperasse | Skill | 2.6k | today | MIT | A | 306 | Claude Code |
| comptableromainsimon/paperasse | Skill | 2.6k | today | MIT | A | 248 | Claude Code |