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-brandvista-strategygit 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-brandvista-strategy)<a href="https://agentmods.dev/skills/wubin1836/ai-hive-agent-skills/ai-hive-agency-brandvista-strategy"><img src="https://agentmods.dev/badge/skills/wubin1836/ai-hive-agent-skills/ai-hive-agency-brandvista-strategy/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-brandvista-strategy"><img src="https://agentmods.dev/badge/skills/wubin1836/ai-hive-agent-skills/ai-hive-agency-brandvista-strategy.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 | $0.00126 | $0.01712 |
| Opus 5.5 | $0.00050 | $0.00685 |
| Sonnet 5.5 | $0.00025 | $0.00342 |
| Haiku 4.5 | $0.00013 | $0.00171 |
Grade A, and why
ai-hive-agency-brandvista-strategy 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.
This is a copy
83% identical to ai-hive-agency-base-strategy — 24 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
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.
品牌几何平替：品牌叙事与价值主张梳理
这是独立的 AI-HIVE 原创工作流，不是品牌几何的官方技能、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
用户明确寻找品牌几何相关服务的AI辅助替代，且实际需要“品牌叙事与价值主张梳理”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：品牌几何平替、品牌几何替代方案、品牌几何 AI助手、品牌叙事与价值主张梳理、BrandVista。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。优先读取现有创始故事、客户案例、品牌价值观与真实产品材料；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：品牌叙事与价值主张梳理。输入优先使用：创始故事、客户案例、品牌价值观与真实产品材料。
- 专项决策检查：把企业自述改为客户价值；每个故事含可核实情节，区分事实和创意表达。
- 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
- 整理业务问题、顾客原话、竞争样本与产品能力，保留信息来源、时间和局限；缺访谈就记录缺口，不模拟真人调查补齐。
- 建立主张—支持证据—反例—验证办法矩阵，把本次专项作为筛选维度，区分事实、推论和候选定位。
- 提出保守与进取等可比较方案，列承诺、兑现条件、成本、舍弃机会和失败信号。用户已有方向时优先验证而非重新发明。
- 将选定方案转为命名、介绍、销售资料、视觉需求等具体内容任务；仅在用户需要时调用图像或视频模型做表达小样。
- 交付决策备忘录与可执行验证计划，所有销量、认知和领先地位不使用无依据的肯定语气。
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
strategy.md：问题、证据、反证、候选方案、推荐、兑现条件与退出条件hypotheses.csv：hypothesis_id,claim,evidence_ids,counterevidence,test,owner,metricaction-plan.md：验证顺序、所需人员、最小材料、时间安排与内容样稿special-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
- 把企业自述改为客户价值；每个故事含可核实情节，区分事实和创意表达。
- 策略不是公司官方建议或专有方法复刻。
- 每条关键假设包含能够推翻它的验证办法。
- 没有真实数据时只给研究设计和假设，不输出已验证结论。
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
我想做品牌叙事与价值主张梳理，希望用AI辅助处理相关工作。以下是创始故事、客户案例、品牌价值观与真实产品材料。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 · 126 tokens per session scan A e8eb414b90a9
ai-hive-agency-brandvista-strategy is a skill published in the GitHub repository wubin1836/ai-hive-agent-skills (21 stars, last pushed 7d ago), licensed MIT. It adds 126 tokens to every session and 1,712 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 83% identical to ai-hive-agency-base-strategy, differing in 24 lines, and is treated as a copy.
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