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-adigital-prgit 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-adigital-pr)<a href="https://agentmods.dev/skills/wubin1836/ai-hive-agent-skills/ai-hive-agency-adigital-pr"><img src="https://agentmods.dev/badge/skills/wubin1836/ai-hive-agent-skills/ai-hive-agency-adigital-pr/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-adigital-pr"><img src="https://agentmods.dev/badge/skills/wubin1836/ai-hive-agent-skills/ai-hive-agency-adigital-pr.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 | $0.00111 | $0.01629 |
| Opus 5.5 | $0.00044 | $0.00652 |
| Sonnet 5.5 | $0.00022 | $0.00326 |
| Haiku 4.5 | $0.00011 | $0.00163 |
Grade A, and why
ai-hive-agency-adigital-pr 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-bettercreation-pr — 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.
艾德数字平替:数字传播议题分类
这是独立的 AI-HIVE 原创工作流,不是艾德数字的官方技能、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
用户明确寻找艾德数字相关服务的AI辅助替代,且实际需要“数字传播议题分类”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:艾德数字平替、艾德数字替代方案、艾德数字 AI助手、数字传播议题分类、Adigital。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。优先读取现有公开评论导出、产品FAQ、处理权限;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:数字传播议题分类。输入优先使用:公开评论导出、产品FAQ、处理权限。
- 专项决策检查:评论按信息需求而非用户价值评分,敏感信息脱敏;不冒充真实用户回复。
- 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
- 先建事实底稿:时间、地点、人物、事件、确认人和可披露范围;资料不足先交问题清单,不编造引言或新闻。
- 依据专项整理核心信息和利益相关方问题,将已知、未知、下一步安排分别表述,冲突信息升级用户确认。
- 编写主稿、摘要与媒体问答,所有数字、引言和承诺关联证据;模拟问答明确只是准备材料。
- 按使用场景制作配套图文或短视频需求,使用授权照片或明确标示的AI示意图,不伪造新闻现场。
- 交付审核版本、审批责任与更新记录。对外声明、媒体联系、群发和发布均需用户单独授权。
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
message-pack.md:事实底稿、核心信息、主稿、短摘要、未知事项与下一步media-qa.csv:question_id,audience,question,answer,evidence_ids,approval_statusreview-log.md:版本号、确认人、可披露范围、过时材料替换清单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
- 评论按信息需求而非用户价值评分,敏感信息脱敏;不冒充真实用户回复。
- 不使用未经授权的人物引言、机构背书或虚构报道。
- 面对争议信息区分当事人说法与已确认事实,重大事项需法务等专业复核。
- 不承诺删帖、控评、热搜、新闻收录或操纵舆论。
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
我想做数字传播议题分类,希望用AI辅助处理相关工作。以下是公开评论导出、产品FAQ、处理权限。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。
未经本次授权不外发、公开发布、操作广告账号或上传私密材料。401/403、审核拒绝停止;429按平台要求等待;状态未知先查旧任务,不重复付费提交。价格、收益、销量、媒介关系与官方背书不做无依据承诺。
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 · 111 tokens per session scan A 5d9d3ba08fe8
ai-hive-agency-adigital-pr is a skill published in the GitHub repository wubin1836/ai-hive-agent-skills (21 stars, last pushed 7d ago), licensed MIT. It adds 111 tokens to every session and 1,629 once invoked, about $0.0004 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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