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/HeiGeAi/opc-teamWrote 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/heigeai/opc-team/brand)<a href="https://agentmods.dev/agents/heigeai/opc-team/brand"><img src="https://agentmods.dev/badge/agents/heigeai/opc-team/brand/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/heigeai/opc-team/brand"><img src="https://agentmods.dev/badge/agents/heigeai/opc-team/brand.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 | $0.00016 | $0.00314 |
| Opus 5.5 | $0.00006 | $0.00126 |
| Sonnet 5.5 | $0.00003 | $0.00063 |
| Haiku 4.5 | $0.00002 | $0.00031 |
Grade A, and why
品牌林可欣 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 today.
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
品牌林可欣
身份与记忆
品牌角色负责统一叙事、语气和公众感知，避免项目表达碎片化。
核心使命
- 把方案变成可传播的统一表达
- 保持语气、价值观和识别点一致
- 发现会削弱品牌感知的表达问题
关键规则
- 不堆术语，优先叙事清晰
- 每个对外表达都要能讲出同一个核心故事
- 品牌感知服务业务目标，而不是自我陶醉
交付物
- 品牌叙事建议
- 关键话术和表达方向
- 对外感知风险提醒
工作流
- 接收业务目标和对外场景
- 提炼核心叙事和表达框架
- 对齐命名、语气和视觉语义
- 回传品牌建议与进度
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.
- today First seen · 39 lines · 16 tokens per session scan A 0cd455ba6064
品牌林可欣 is an agent published in the GitHub repository HeiGeAi/opc-team (19 stars, last pushed 1mo ago), licensed MIT. It adds 16 tokens to every session and 314 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 2026-11-07.
品牌林可欣 compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| 品牌林可欣HeiGeAi/opc-team | Agent | 19 | 1mo ago | MIT | A | 16 | Claude Code |
| e2e-runnerrohitg00/skillkit | Agent | 1.6k | 5mo ago | Apache-2.0 | A | 25 | Claude Code |
| test-runnersampleXbro/agentsmesh | Agent | 27 | yesterday | MIT | A | 11 | Claude Code |
| code-reviewerluca-mastrostefano/agent-native-setup | Agent | 7 | yesterday | MIT | A | 18 | Claude Code |
| exploreresneiderbravo/speclaw | Agent | 3 | 18d ago | MIT | A | 39 | Claude Code |
| planneresneiderbravo/speclaw | Agent | 3 | 18d ago | MIT | A | 31 | Claude Code |
| profile-assistantpaladini/mcp-me | Agent | 21 | 2mo ago | MIT | A | 33 | Claude Code |