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 Jamkris/everything-gemini-code --skill brand-voicegit clone --depth 1 https://github.com/Jamkris/everything-gemini-codeWrote 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/jamkris/everything-gemini-code/brand-voice)<a href="https://agentmods.dev/skills/jamkris/everything-gemini-code/brand-voice"><img src="https://agentmods.dev/badge/skills/jamkris/everything-gemini-code/brand-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/jamkris/everything-gemini-code/brand-voice"><img src="https://agentmods.dev/badge/skills/jamkris/everything-gemini-code/brand-voice.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 | $0.00053 | $0.00779 |
| Opus 5.5 | $0.00021 | $0.00312 |
| Sonnet 5.5 | $0.00011 | $0.00156 |
| Haiku 4.5 | $0.00005 | $0.00078 |
Grade A, and why
brand-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 1mo 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.
This is a copy
94% identical to brand-voice — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand Voice
Build a durable voice profile from real source material, then use that profile everywhere instead of re-deriving style from scratch or defaulting to generic AI copy.
When to Use
- the user wants content or outreach in a specific voice
- writing for X, LinkedIn, email, launch posts, threads, or product updates
- adapting a known author's tone across channels
- the existing content lane needs a reusable style system instead of one-off mimicry
Source Priority
Use the strongest real source set available, in this order:
- recent original X posts and threads
- articles, essays, memos, launch notes, or newsletters
- real outbound emails or DMs that worked
- product docs, changelogs, README framing, and site copy
Do not use generic platform exemplars as source material.
Collection Workflow
- Gather 5 to 20 representative samples when available.
- Prefer recent material over old material unless the user says the older writing is more canonical.
- Separate "public launch voice" from "private working voice" if the source set clearly splits.
- If live X access is available, use
x-apito pull recent original posts before drafting. - If site copy matters, include the current ECC landing page and repo/plugin framing.
What to Extract
- rhythm and sentence length
- compression vs explanation
- capitalization norms
- parenthetical use
- question frequency and purpose
- how sharply claims are made
- how often numbers, mechanisms, or receipts show up
- how transitions work
- what the author never does
Output Contract
Produce a reusable VOICE PROFILE block that downstream skills can consume directly. Use the schema in references/voice-profile-schema.md.
Keep the profile structured and short enough to reuse in session context. The point is not literary criticism. The point is operational reuse.
Affaan / ECC Defaults
If the user wants Affaan / ECC voice and live sources are thin, start here unless newer source material overrides it:
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.
- 1mo ago First seen · 98 lines · 53 tokens per session scan A c534b41fb093
brand-voice is a skill published in the GitHub repository Jamkris/everything-gemini-code (90 stars, last pushed 4mo ago), licensed MIT. It adds 53 tokens to every session and 779 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 94% identical to brand-voice, differing in 4 lines, and is treated as a copy.
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