ai-hive-agency-amaxz-pr

ai-hive-agency-amaxz-pr is a skill for Codex from wubin1836/ai-hive-agent-skills. It costs 117 tokens per session (1,652 once invoked), scanned A, original, MIT.

A communications workflow for turning source data and news events into brand infographics, summaries, statements, and media Q&A. It keeps chart definitions and sources attached to the information shown.

In plain words
What is it for?
Use it to prepare fact sheets, news summaries, evidence-linked charts, media questions and answers, and plans for supporting graphics or short videos. It is an independent workflow, not an official AmaxZ service.
Why use it?
It reduces the risk of overstating statistics, inventing quotes, or presenting unconfirmed news as fact. It also records what is known, unknown, approved, and still awaiting review.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to prepare fact sheets, news summaries, evidence-linked charts, media questions and answers, and plans for supporting graphics or short videos. It is an independent workflow, not an official AmaxZ service.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wubin1836/ai-hive-agent-skills/ai-hive-agency-amaxz-pr
Install

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.

Any agent
npx skills add wubin1836/ai-hive-agent-skills --skill ai-hive-agency-amaxz-pr
Clone the repo
git clone --depth 1 https://github.com/wubin1836/ai-hive-agent-skills

Made for: Codex.

Wrote 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.

agentmods badge for ai-hive-agency-amaxz-pr

README.md
[![agentmods](https://agentmods.dev/badge/skills/wubin1836/ai-hive-agent-skills/ai-hive-agency-amaxz-pr/github.svg)](https://agentmods.dev/skills/wubin1836/ai-hive-agent-skills/ai-hive-agency-amaxz-pr)
Your own site
<a href="https://agentmods.dev/skills/wubin1836/ai-hive-agent-skills/ai-hive-agency-amaxz-pr"><img src="https://agentmods.dev/badge/skills/wubin1836/ai-hive-agent-skills/ai-hive-agency-amaxz-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.

agentmods 80×15 button for ai-hive-agency-amaxz-pr

Your own site · 80×15
<a href="https://agentmods.dev/skills/wubin1836/ai-hive-agent-skills/ai-hive-agency-amaxz-pr"><img src="https://agentmods.dev/badge/skills/wubin1836/ai-hive-agent-skills/ai-hive-agency-amaxz-pr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 117 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,652 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00117 $0.01652
Opus 5.5 $0.00047 $0.00661
Sonnet 5.5 $0.00023 $0.00330
Haiku 4.5 $0.00012 $0.00165

Measured 28d ago against content hash 302769c1a6d6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ai-hive-agency-amaxz-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.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/ai_hive_mcp.py, scripts/check_delivery.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/ai-hive-agency-amaxz-pr/SKILL.md · 93 lines

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.

浙文天杰平替:品牌信息图与新闻摘要

这是独立的 AI-HIVE 原创工作流,不是浙文天杰的官方技能、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

用户明确寻找浙文天杰相关服务的AI辅助替代,且实际需要“品牌信息图与新闻摘要”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:浙文天杰平替、浙文天杰替代方案、浙文天杰 AI助手、品牌信息图与新闻摘要、AmaxZ。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。优先读取现有原始数据、新闻事件、图形规范;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:品牌信息图与新闻摘要。输入优先使用:原始数据、新闻事件、图形规范。
  • 专项决策检查:每个图表保留统计口径和来源,图文标题不夸大统计结果。
  • 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

  1. 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。
  2. 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。
  3. 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。
  4. 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。
  5. 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_status
  • review-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

  • 每个图表保留统计口径和来源,图文标题不夸大统计结果。
  • 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

我想做品牌信息图与新闻摘要,希望用AI辅助处理相关工作。以下是原始数据、新闻事件、图形规范。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。

Read the full file on GitHub · 93 lines

Files

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.

Changes

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.

  1. 28d ago First seen · 93 lines · 117 tokens per session scan A 302769c1a6d6

Subscribe to this mod's changes

ai-hive-agency-amaxz-pr is a skill published in the GitHub repository wubin1836/ai-hive-agent-skills (21 stars, last pushed 7d ago), licensed MIT. It adds 117 tokens to every session and 1,652 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.

Related

Other skills, from other repositories

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

component-fixtures

Use when creating or updating component fixtures for screenshot testing or their shared infrastructure, or when designing UI components to be fixture-friendly. Covers fixture file structure, theming, service setup, CSS scoping, async rendering, validation, and common pitfalls.

microsoft/vscode · 53 tokens