pr-consumer-research

pr-consumer-research is a skill for Claude Code, Codex from chuwu57/Chuwu-PR-OS. It costs 103 tokens per session (3,244 once invoked), scanned A, original, MIT.

A skill for turning existing consumer, market, competitor, voice-of-customer, or product-test evidence into public-relations decisions. It links research findings to what a company can safely say in public and what it should do next.

In plain words
What is it for?
Use it to identify claims, risks, boundaries, and business actions from completed research and analysis.
Why use it?
It helps prevent public claims from going beyond the available evidence. It also separates evidence-based public-relations work from designing new research.

Skill for Claude CodeCodex

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

Good fit Use it to identify claims, risks, boundaries, and business actions from completed research and analysis.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/chuwu57/chuwu-pr-os/pr-consumer-research
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 pr-consumer-research
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 pr-consumer-research

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/chuwu57/chuwu-pr-os/pr-consumer-research"><img src="https://agentmods.dev/badge/skills/chuwu57/chuwu-pr-os/pr-consumer-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 103 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,244 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 $0.00103 $0.03244
Opus 5.5 $0.00041 $0.01298
Sonnet 5.5 $0.00021 $0.00649
Haiku 4.5 $0.00010 $0.00324

Measured yesterday against content hash 6d8d97cf459a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pr-consumer-research 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 yesterday.

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/pr-consumer-research/SKILL.md · 292 lines

How it starts

The opening of the file, as written. The whole thing — 292 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PR Consumer Research

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

把消费者、市场和产品证据转换成PR可执行判断。

本Skill不替代通用研究,也不替代PR专项判断:

  • consumer-research负责研究设计、证据分级、样本、访谈、问卷、市场分析、竞品分析和产品测试。
  • 本Skill负责判断研究结果对公共理解、品牌信任、传播主张和业务动作意味着什么。
  • PR专项Skill负责文案、舆情、媒体叙事、预案和新闻稿等专业任务。
  • judgment-hub负责最终取舍和拍板。

条件链路:

业务或PR问题
→ 判断消费者证据缺口
→ 仅在证据缺口会改变结论时由consumer-research补证据或设计验证
→ 本Skill完成PR转换
→ 仅在用户需要具体专业产物时进入一个PR专项Skill
→ 仅在仍有真实取舍时进入judgment-hub

不需要消费者、市场或产品证据的问题,不要强行调用本Skill。

判断风格

第一性原理

先回答「这项研究要改变哪个业务或PR决策」,再决定研究什么。

不要从「用户喜欢什么」出发,要从真实选择机制出发:

  • 用户处于什么情境。
  • 什么触发需求或不满。
  • 用户在完成什么任务。
  • 用户比较了哪些替代方案。
  • 什么因素建立或破坏信任。
  • 什么约束最终改变行为。

结论先行

输出第一屏先给决策卡:

  • 当前建议:立即行动/补证据后行动/暂停。
  • 最大支持证据。
  • 最强反证。
  • 最大不确定性。
  • 对业务和信任的影响。

不要先铺研究背景。

反向验证

主动寻找不支持既定方案的证据,尤其在项目已经立项、老板期待上线或团队倾向某个答案时。

必须问:

  • 什么证据会推翻当前判断。
  • 是否因为想推进项目而降低了证据标准。
  • 是否把内部愿望误写成消费者需求。
  • 是否把传播语言误当作产品事实。
  • 是否存在更简单的替代解释。

情绪与公共语境

事实成立不代表公众会接受。除功能、价格和行为外,必须检查:

  • 消费者是否感到被忽视、欺骗、不尊重、不公平或被教育。
  • 是否触发身份、阶层、性别、家庭、代际、地域、职业或弱势群体感受。
  • 品牌意图和普通用户的直接理解是否一致。
  • 一句话被截图后会形成什么公共标签。
  • 个体不满是否具备串联成群体叙事的条件。

长期信任

不要只问「这次能不能发」,还要问:

  • 这个主张能否长期重复。
  • 以后是否需要持续解释。
  • 产品体验能否兑现传播承诺。
  • 是否用短期声量透支品牌信用。
  • 同类问题再次发生时,当前表达会不会成为反证。

工作模式

根据决策时限和证据要求选择最小充分模式。

快速判断

适用于当天或短时间内需要方向的PR任务。

  • 只使用现有材料和可核验公开信息。
  • 输出初步判断、证据缺口和升级条件。
  • 不把快速判断包装成完整消费者研究。
  • 证据不足时给暂停条件,不强行给确定答案。

标准研究

适用于新品、传播策略、竞品判断和阶段性复盘。

  • 组合业务数据、消费者反馈、市场资料、竞品表现和公共语境。
  • 至少用不同性质的证据交叉验证关键判断。
  • 输出消费者机制、市场条件、传播含义和行动建议。

深度验证

适用于高投入、高风险或长期决策。

  • 调用consumer-research设计访谈、问卷、产品测试或真实实验。
  • 预设主要指标、成功阈值、暂停条件和反证标准。
  • 完成真实验证前,不把假设升级为确定主张。

Step 1:定义PR决策

明确:

  • 要决定什么:上市、延期、修改产品、调整包装、选择主张、回应、发稿、做预案或保持观察。
  • 主要目标:认知、信任、差异、品类教育、转化承接、风险修复或长期话语位置。
  • 哪类消费者、非目标用户和利益相关方会受到影响。
  • 哪些事实和承诺准备公开。
  • 决策时限、资源、不可说内容和组织承受能力。

把问题定成一个主类:消费者事实、市场条件、产品体验、表达、叙事、信任、业务或组织问题。只能选一个主类,其他作为影响因素。

Step 2:识别证据缺口

按consumer-research的主张与证据匹配规则,检查可追溯性、实际测量、外推范围与替代解释:

  • 已知事实是什么。
  • 哪些只是社交媒体信号或个别投诉。
  • 哪些是团队解释和策略假设。
  • 哪个未知问题会真正改变决策。

以下情况提示证据不足:可直接判断哪些主张尚不成立,交付有边界的PR结论。只有用户任务需要补齐、且新增研究会改变决策时,才调用consumer-research设计或执行相应研究;不为否定一个无依据主张先启动完整研究:

Read the full file on GitHub · 292 lines

Files

What ships with it

1 file 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. yesterday Changed · +7 lines · +14 tokens per session 6d8d97cf459a
  2. 1mo ago First seen · 285 lines · 89 tokens per session scan A 76f9d2010fbb

Subscribe to this mod's changes

pr-consumer-research is a skill published in the GitHub repository chuwu57/Chuwu-PR-OS (76 stars, last pushed yesterday), licensed MIT. It adds 103 tokens to every session and 3,244 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 2026-09-08.

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

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

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

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