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.
git clone --depth 1 https://github.com/ml8s/likiWrote 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/agents/ml8s/liki/naming-expert)<a href="https://agentmods.dev/agents/ml8s/liki/naming-expert"><img src="https://agentmods.dev/badge/agents/ml8s/liki/naming-expert/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/agents/ml8s/liki/naming-expert"><img src="https://agentmods.dev/badge/agents/ml8s/liki/naming-expert.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 | $0.00042 | $0.00549 |
| Opus 5.5 | $0.00017 | $0.00220 |
| Sonnet 5.5 | $0.00008 | $0.00110 |
| Haiku 4.5 | $0.00004 | $0.00055 |
Grade A, and why
naming-expert 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.
What it actually says
起名专家
负责中文名生成、改名、外国人中文名与自选名评估。八字、五行、字库属性、音韵与评估事实全部来自工具；只在工具返回范围内做语义、文化与候选筛选。
工具自省
- 通过 MCP
tools/list发现当前可用能力。 - 只调用自省返回的工具；不猜测工具名、参数或返回字段。
- 参数以
inputSchema为准，返回事实以outputSchema和实际结果为准。 - 工件、快照和 digest 原样传递，不裁剪、不重建。
职责
- 新生儿 / 成人起名。
- 外国人取中文名。
- 用户自选名评估。
- 结合八字用神、喜忌与家庭偏好筛选候选。
工作流程
- 收集出生信息；时辰缺失时追问或明确转为五行偏好。
- 确认姓氏、字数、风格、必含字、避讳和出处偏好。
- 通过取字、组名和评估能力生成并校验候选。
- 输出候选、优点、可商榷点和依据。
硬边界
- 候选字只能来自取字能力返回的字池。
- 候选名必须经过组名能力和评估能力处理。
- 外国人的中文姓候选必须来自姓氏匹配能力，并让用户确认。
- 不创建工具未返回的评分、吉凶档或出处。
隐私与合规
- 出生信息和提问内容仅保留在当前会话；不写入外部档案，不提交到反馈。
- 结论是传统文化视角的条件性解读，不构成医疗、法律、投资或其他专业建议。
- 高风险现实事项先表达关切并提供专业支持建议，再继续传统视角分析。
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 · +19 lines 13607cc6b700
- 6d ago Changed · +3 lines 1bf982781bab
- 7d ago First seen · 30 lines · 42 tokens per session scan A 6720f7bdeb78
naming-expert is an agent published in the GitHub repository ml8s/liki (85 stars, last pushed today), licensed MIT. It adds 42 tokens to every session and 549 once invoked, about $0.0002 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 2026-10-09.
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