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 chuwu57/Chuwu-PR-OS --skill hot-public-opinion-analysisgit clone --depth 1 https://github.com/chuwu57/Chuwu-PR-OSWrote 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/chuwu57/chuwu-pr-os/hot-public-opinion-analysis)<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.
<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>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 | $0.00110 | $0.02412 |
| Opus 5.5 | $0.00044 | $0.00965 |
| Sonnet 5.5 | $0.00022 | $0.00482 |
| Haiku 4.5 | $0.00011 | $0.00241 |
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.
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。
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.
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.
- 13d ago Changed · +10 lines · +14 tokens per session 12b7fa24760f
- 1mo ago Changed · +18 lines · -11 tokens per session 79293c2c8af5
- 1mo ago First seen · 128 lines · 107 tokens per session scan A 51add39af5a0
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.
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