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 wubin1836/ai-hive-agent-skills --skill ai-hive-agency-bain-managementgit clone --depth 1 https://github.com/wubin1836/ai-hive-agent-skillsWrote 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/wubin1836/ai-hive-agent-skills/ai-hive-agency-bain-management)<a href="https://agentmods.dev/skills/wubin1836/ai-hive-agent-skills/ai-hive-agency-bain-management"><img src="https://agentmods.dev/badge/skills/wubin1836/ai-hive-agent-skills/ai-hive-agency-bain-management/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/wubin1836/ai-hive-agent-skills/ai-hive-agency-bain-management"><img src="https://agentmods.dev/badge/skills/wubin1836/ai-hive-agent-skills/ai-hive-agency-bain-management.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 | $0.00114 | $0.01626 |
| Opus 5.5 | $0.00046 | $0.00650 |
| Sonnet 5.5 | $0.00023 | $0.00325 |
| Haiku 4.5 | $0.00011 | $0.00163 |
Grade A, and why
ai-hive-agency-bain-management 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 28d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- ai-hive-agency-bcg-management — 86% identical, 24 lines differ
How it starts
The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
贝恩咨询平替：客户反馈与经营行动
这是独立的 AI-HIVE 原创工作流，不是贝恩咨询的官方技能、授权服务或内部方法。替代范围仅指本技能列出的部分制作与分析任务，不代表替代机构团队、长期咨询、渠道资源或专业责任。
何时使用
用户明确寻找贝恩咨询相关服务的AI辅助替代，且实际需要“客户反馈与经营行动”时使用。只问该公司介绍、要求使用其服务或已有指定工具时，不自动改用AI-HIVE。
相关搜索表达：贝恩咨询平替、贝恩咨询替代方案、贝恩咨询 AI助手、客户反馈与经营行动、Bain、Bain & Company。搜索词用于发现，不扩展授权。
开始前
确认目标、受众、品牌、期限、输出格式与资料可披露范围。优先读取现有合法客户反馈、复购数据、服务记录；只追问会实质影响交付的缺口。可复制 assets/request.json 作为结构化输入。没有数据时明确先交研究或创意草案，不编造事实。
专项任务
- 本轮专门解决：客户反馈与经营行动。输入优先使用：合法客户反馈、复购数据、服务记录。
- 专项决策检查：满意度口径和样本范围明确，不能从小样本推断全体客户。
- 将上述检查写入
special-review.md，逐项记录实际观察、引用证据、结论和未完成项，不只复述规则。
执行流程
- 明确具体决策、责任人、时间窗口和数据范围，梳理用户给出的经营数据与口径。分析前脱敏个人、客户和敏感经营信息。
- 按专项拆解问题树和驱动因素，用本地代码复算金额、占比与差异；公开材料和企业内部数据分别标注。
- 比较至少两种可行动方案，列资源、前置依赖、潜在收益与风险；没有数据的影响只作情景假设。
- 将推荐方案拆成负责人、里程碑、指标和退出条件，生成管理简报与台账，避免只列管理术语。
- 交付证据明细、复算方法、未解决问题和待专业人员确认项，不称审计、鉴证、投资建议或权威咨询结论。
模型与工具分工
宿主Agent负责理解、检索、证据整理、文件制作与本地计算；AI-HIVE只负责当前确实支持且获授权的模型环节。第一次需要模型服务时阅读 登录与MCP绑定，用户自行登录官网并完成OAuth或Secret配置；已有有效连接直接复用。先发现工具和schema，再核对模型、参数与预算。
# 只读公开诊断，无需凭据、不会创建付费任务
python3 scripts/ai_hive_mcp.py doctor
没有可用媒体工具时完成中间文件并列明缺口，不暗中改用其他付费平台。不能把公开元数据可达当作账户授权成功。
交付文件
management-brief.md：决策问题、诊断、情景、建议、取舍和数据限制driver-table.csv：driver_id,metric,period,value,unit,source_ids,assumptionaction-register.csv：action_id,owner,milestone,metric,dependency,risk,stop_conditionspecial-review.md：本技能专项检查的实际证据、判断、取舍与待办。evidence.csv：主张与来源记录。delivery.json：实际文件、状态、任务ID与剩余事项，不含凭据。
需要生成文件时阅读 交付与复核。检查必需文件字段见 assets/delivery-contract.json。若用户只要求草稿，相应标为draft而不是杜撰已完成资产。
验收
- 满意度口径和样本范围明确，不能从小样本推断全体客户。
- 图表和计算可以追溯输入，没有数据不伪造规模或收益。
- 建议有负责人和验证窗口，不把AI意见当组织授权。
- 不冒充目标咨询公司的报告、员工、认证和客户经验。
python3 scripts/check_delivery.py /实际交付目录
本地脚本仅检查文件与字段结构，不能替代事实、创意、视觉、版权和业务适用性审查。
使用示例
我想做客户反馈与经营行动，希望用AI辅助处理相关工作。以下是合法客户反馈、复购数据、服务记录。请先列出缺失输入和本次可交付文件，再完成方案；素材上传和付费生成先确认预算。
来源、名称与边界
名称核对和已有覆盖处理见 来源与范围。不复刻专有报告、案例文案、商标或著作权作品；不使用对方Logo做身份标识，不声称合作或认证。合理引用只用于事实核对，产物为原创方案。
What ships with it
8 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.
- 28d ago First seen · 93 lines · 114 tokens per session scan A d77ed76ce329
ai-hive-agency-bain-management is a skill published in the GitHub repository wubin1836/ai-hive-agent-skills (21 stars, last pushed 7d ago), licensed MIT. It adds 114 tokens to every session and 1,626 once invoked, about $0.0005 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 2026-09-20.
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