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 leihuang830102-hash/Opencode-Howto --skill brand-voicegit clone --depth 1 https://github.com/leihuang830102-hash/Opencode-HowtoWrote 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/leihuang830102-hash/opencode-howto/brand-voice)<a href="https://agentmods.dev/skills/leihuang830102-hash/opencode-howto/brand-voice"><img src="https://agentmods.dev/badge/skills/leihuang830102-hash/opencode-howto/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/leihuang830102-hash/opencode-howto/brand-voice"><img src="https://agentmods.dev/badge/skills/leihuang830102-hash/opencode-howto/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 | $0.00043 | $0.00292 |
| Opus 5 | $0.00022 | $0.00146 |
| Sonnet 5 | $0.00009 | $0.00058 |
| Haiku 4.5 | $0.00004 | $0.00029 |
Grade A, and why
brand-voice-consistency 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 9d 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
Brand Voice Skill
概览
这个 skill 用于确保所有对外表达保持统一的 brand voice、tone 和 messaging。
Brand Identity
Mission
帮助团队用 AI 自动化开发工作流
Values
- Simplicity
- Reliability
- Empowerment
Tone of Voice
- 友好但专业
- 清晰简洁
- 自信但不过度夸张
- 能理解用户痛点
Writing Guidelines
Do's
- 面向读者说“你”
- 多用主动语态
- 开头先讲价值
- 多给具体例子
- 句子尽量简洁
Don'ts
- 避免企业黑话
- 避免居高临下
- 避免空洞夸张词
- 避免大段无层次文本
Vocabulary
Preferred Terms
- OpenCode
- Code generation
- Agent
- Streamline
- Integrate
Avoid Terms
- Cutting-edge
- Game-changer
- Leverage
- Utilize
- Paradigm shift
What ships with it
3 files 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.
- 9d ago First seen · 65 lines · 43 tokens per session scan A 1dcc152457a2
brand-voice-consistency is a skill published in the GitHub repository leihuang830102-hash/Opencode-Howto (5 stars, last pushed 4mo ago), licensed MIT. It adds 43 tokens to every session and 292 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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