hot-public-opinion-analysis

hot-public-opinion-analysis is a skill for Claude Code, Codex from chuwu57/Chuwu-PR-OS. It costs 110 tokens per session (2,412 once invoked), scanned A, original, MIT.

A public-opinion analysis skill for examining trending events, widely discussed news, industry disputes, competitor incidents, policy changes, negative narratives, rumours, and social topics.

In plain words
What is it for?
Use it to assess public controversies and policy or news developments, then draw out their business implications.
Why use it?
It helps judge whether a topic is gaining momentum, what it really means, where it may go, and how it could affect the business.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to assess public controversies and policy or news developments, then draw out their business implications.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/chuwu57/chuwu-pr-os/hot-public-opinion-analysis
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 chuwu57/Chuwu-PR-OS --skill hot-public-opinion-analysis
Clone the repo
git clone --depth 1 https://github.com/chuwu57/Chuwu-PR-OS

Made for: Claude Code, 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 hot-public-opinion-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/chuwu57/chuwu-pr-os/hot-public-opinion-analysis/github.svg)](https://agentmods.dev/skills/chuwu57/chuwu-pr-os/hot-public-opinion-analysis)
Your own site
<a href="https://agentmods.dev/skills/chuwu57/chuwu-pr-os/hot-public-opinion-analysis"><img src="https://agentmods.dev/badge/skills/chuwu57/chuwu-pr-os/hot-public-opinion-analysis/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 hot-public-opinion-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/chuwu57/chuwu-pr-os/hot-public-opinion-analysis"><img src="https://agentmods.dev/badge/skills/chuwu57/chuwu-pr-os/hot-public-opinion-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 110 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,412 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 $0.00110 $0.02412
Opus 5.5 $0.00044 $0.00965
Sonnet 5.5 $0.00022 $0.00482
Haiku 4.5 $0.00011 $0.00241

Measured 13d ago against content hash 12b7fa24760f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

hot-public-opinion-analysis 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 13d 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.

PROS-05/Skills/PR/hot-public-opinion-analysis/SKILL.md · 156 lines

How it starts

The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.

热点舆情分析

归属说明:本Skill由初五维护,属于初五的个人Skill体系。分享或再分发时请保留本归属说明及已有来源、作者和许可声明。

定位

舆情分析不是热度复述,而是把外部事件转成业务判断。

每次都要回答四个问题:

  • 它有没有从单点信息变成群体性意见。
  • 它真正冒犯了谁,为什么能被放大。
  • 它接下来会升级、降温、反转,还是进入长期议题。
  • 它和我们的品牌信任、业务风险、公关资产有什么关系。

默认输出要能直接转发给业务方。不要写学术论文,不堆材料。

知识调用

默认按本文件完成舆情研判。遇到爆料格式、跨平台扩散、群体身份投射、责任归因、回应必要性或业务动作取舍时,读取 references/knowledge-map.md。

知识调用顺序是:事实核验优先,案例和框架校准其次,理论只用于帮助判断背后机制。不要把理论名写成正文主轴。

出现检测报告、实测视频、合规声明或「新证据已反转」的争议时,按知识地图读取争议事实与证据沟通策略。先核对双方是否在回答同一问题,再对齐对象、方法、样本与结论范围;受托检测、报告摘要和原始记录分别标注。把事实争议是否解决、保护/补救是否兑现和公众反应分别判断,缺一项不由另一项代填。已有材料足以限定结论时直接完成,不把每次研判扩成工程调查;非此类任务不增加这项读取。

先做事实核验

先复用已有事实与核验记录;需要多来源检索、正文检查或关键矛盾补证时,读取搜索执行、正文验收与定向补证。该参考与行业媒体研究共用,属于本知识库配套文件;单独分发本Skill时应同时携带并修正链接。用户只要求分析已有材料时,按材料边界交付,不自动启动全面调查。

检索围绕起点、回应/更正、传播节点和实际后果,只补会改变判断的缺口。候选逐条记录实际阅读状态、保存形式、日期与内容覆盖;搜索摘要仅作发现,访问失败不等于没有舆情。按主张识别同源,转载可记录传播节点,但不增加独立事实证据。关键冲突先写目标证据和完成条件,再补查;处置结果同步更新事实、时间线、分档及交接包,未解决则限制对应结论,不阻断其余判断。

先查清楚再判断:

  • 决策主体:是在替涉事组织、同行品牌、渠道/平台还是旁观组织判断。主体不同,业务相关性和回应责任不同。
  • 时间锚点:结论对应哪个日期、时段或事件阶段。历史Evidence只能支持当时切片,不能自动证明当前仍在发酵。
  • 源头:当事人、媒体、监管、平台、网帖、截图还是二手转述。
  • 扩散:是否跨平台,是否有媒体、KOL、热榜、官方或监管介入。
  • 信源等级:官方公告、权威媒体、行业媒体、自媒体、匿名帖、无法溯源截图。
  • 关键数字和时间线是否有原始出处。

规则:

  • 网帖、媒体与官方声明均按具体主张核验;来源身份不自动证明内容真实。未经核验的说法只作为舆论场内容,第一手材料可支持其实际证明的事实。
  • 官方口径与当事人材料冲突时,比较原始证据、时间和独立验证;未解决则保留冲突,不以身份直接覆盖证据。
  • 无法确认就写「待核实」,不要补故事。
  • 用户没有说明决策主体或时间锚点时,先写明合理假设;如果不同假设会改变结论,则只给条件判断,不替用户暗定主体。

判断顺序

1. 是否已经形成舆情

舆情是针对特定话题的群体性意见,不是单条内容。

证据充分时分三档:

  • 已形成舆情:跨平台扩散,媒体/KOL 跟进,出现固定标签,进入公共议题或热榜。
  • 舆情前夜:还没爆,但具备被放大、借势、翻旧账、类比本业务的条件。
  • 尚未形成舆情:仍是局部讨论、单点投诉、未经验证传闻。

传播范围、平台节点或群体意见证据不足时,输出传播证据不足,暂不可分档。这不是「尚未形成舆情」;危机伤害和业务行动也不必等待舆情分档后才处理。

2. 舆情实质

不要只写谁受损、谁受益。先问:

  • 这件事冒犯了谁。
  • 哪种群体情绪被激活。
  • 它被包装成了什么公共标签。
  • 为什么是现在发酵。
  • 有没有行业旧矛盾、社会情绪或价值观冲突在借题发挥。

输出要穿透表象,但语言要白。可以借理论帮助思考,不要把理论写成正文。

3. 走势研判

判断所处阶段:

  • 潜伏期:零星信息,矛盾还没被广泛看见。
  • 激化期:同类案例串联,标签出现。
  • 爆发期:热榜、主流媒体、监管、头部 KOL 介入。
  • 反转期:新证据、新主体、新时间线改变判断。
  • 降温期:信息增量减少,讨论分散。

没有连续传播证据时输出「阶段暂不可判断」,不要把单一历史Evidence自动写成潜伏期、爆发期或降温期。

Read the full file on GitHub · 156 lines

Files

What ships with it

3 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. 13d ago Changed · +10 lines · +14 tokens per session 12b7fa24760f
  2. 1mo ago Changed · +18 lines · -11 tokens per session 79293c2c8af5
  3. 1mo ago First seen · 128 lines · 107 tokens per session scan A 51add39af5a0

Subscribe to this mod's changes

hot-public-opinion-analysis is a skill published in the GitHub repository chuwu57/Chuwu-PR-OS (84 stars, last pushed 13d ago), licensed MIT. It adds 110 tokens to every session and 2,412 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 2026-08-30.

Related

Other skills, from other repositories

goal

Use when the user invokes /goal, asks for goal mode, designs an agent loop, or starts long-horizon autonomous work that should be clarified into a concrete, verifiable objective before execution.

Infinite-Labs-AI/infinite-skills · 41 tokens

launch-loop-strategy

Use when planning a practical launch loop for a feature, product update, template, prompt, skill, integration, beta, or release with a known launch date, especially when the user needs channels, content angles, a posting schedule, community distribution, replies, DMs, and follow-up remixes.

Infinite-Labs-AI/infinite-skills · 65 tokens

marketing-growth

Use when planning product marketing, writing marketing copy, designing pricing tiers, building programmatic SEO pages, optimizing on-page SEO, managing social media accounts and publishing queues, planning social media calendars, running Twitter automation, conducting Google Trends research, brainstorming brand/domain…

J-StaR-Films-Studios/VibeCode-Protocol-Suite · 61 tokens

launch-strategy

Use when planning a product launch, feature release, waitlist, beta, public announcement, relaunch, Product Hunt-style push, repeated feature launch system, launch-week checklist, or multi-channel GTM rollout.

Infinite-Labs-AI/infinite-skills · 46 tokens

x-article-writer

Use when writing or rewriting longform X/Twitter articles, X Articles, founder essays, launch essays, growth teardowns, product breakdowns, build-in-public stories, or sharp startup takes that need X-native hooks, tone, pacing, and structure. Use for X Articles and long posts, not blog SEO posts, lifecycle emails, or…

Infinite-Labs-AI/infinite-skills · 79 tokens

copywriting

Use when writing or rewriting website copy: homepages, landing pages, pricing pages, product pages, feature pages, hero sections, headlines, subheads, CTAs, value propositions, taglines, and above-the-fold messaging. Do not use for email sequences, blog posts, longform X articles, or platform-specific ad copy.

Infinite-Labs-AI/infinite-skills · 70 tokens