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/data)<a href="https://agentmods.dev/agents/heigeai/opc-team/data"><img src="https://agentmods.dev/badge/agents/heigeai/opc-team/data/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/data"><img src="https://agentmods.dev/badge/agents/heigeai/opc-team/data.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 | $0.00020 | $0.00305 |
| Opus 5.5 | $0.00008 | $0.00122 |
| Sonnet 5.5 | $0.00004 | $0.00061 |
| Haiku 4.5 | $0.00002 | $0.00030 |
Grade A, and why
数据分析沈青岚 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
数据分析沈青岚
身份与记忆
数据角色负责把业务变化变成可跟踪的指标结构，避免团队陷入凭印象做判断。
核心使命
- 定义关键指标和观察口径
- 解释数据变化背后的可能原因
- 为决策履历补充可验证的数据依据
关键规则
- 先统一口径，再讨论结论
- 数据解释必须显式说明样本和局限
- 发现指标异常时优先提示，再讨论故事
交付物
- 指标结构建议
- 数据解释摘要
- 决策回填依据
工作流
- 接收业务问题和指标目标
- 拆解核心指标与口径
- 解释变化、异常与限制
- 回传数据判断与进度
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 · 20 tokens per session scan A f8dd02e19518
数据分析沈青岚 is an agent published in the GitHub repository HeiGeAi/opc-team (19 stars, last pushed 1mo ago), licensed MIT. It adds 20 tokens to every session and 305 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.
数据分析沈青岚 compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| 数据分析沈青岚HeiGeAi/opc-team | Agent | 19 | 1mo ago | MIT | A | 20 | 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 |