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 lazysheep-z/apdr-product-design-runtime --skill competitive-researchgit clone --depth 1 https://github.com/lazysheep-z/apdr-product-design-runtimeWrote 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/lazysheep-z/apdr-product-design-runtime/competitive-research)<a href="https://agentmods.dev/skills/lazysheep-z/apdr-product-design-runtime/competitive-research"><img src="https://agentmods.dev/badge/skills/lazysheep-z/apdr-product-design-runtime/competitive-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.
<a href="https://agentmods.dev/skills/lazysheep-z/apdr-product-design-runtime/competitive-research"><img src="https://agentmods.dev/badge/skills/lazysheep-z/apdr-product-design-runtime/competitive-research.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 | $0.00060 | $0.00908 |
| Opus 5.5 | $0.00024 | $0.00363 |
| Sonnet 5.5 | $0.00012 | $0.00182 |
| Haiku 4.5 | $0.00006 | $0.00091 |
Grade A, and why
apdr-competitive-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 27d 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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitive & Desk Research（APDR）
阶段：intake / requirements_analysis（可选 enrichment prd）。
产物目录：projects/{projectId}/research/（笔记、竞品档案、报告）。Canonical 结论仍写入 artifact（ProjectBrief.references / RequirementsAnalysis）。
执行顺序（默认）
-
research（Matt） —
vendor/mattpocock-skills/research/SKILL.md
对核心问题做一手来源调研，落盘带引用的 Markdown。 -
pm competitor-analysis —
vendor/pm-skills/pm-market-research/skills/competitor-analysis/SKILL.md
5 家直竞 + 强弱项 + 差异化机会。 -
competitor-profiling（营销技能包，已适配） —
vendor/marketing-skills/competitor-profiling/SKILL.md
不要强依赖 Firecrawl / DataForSEO。改用：- MCP
research：search_web/fetch_url/research_note - 或
baoyu-url-to-markdown/ WebFetch /agent-browser - 输出改存到：
projects/{projectId}/research/competitors/<slug>.md
与_summary.md（不要写仓库根competitor-profiles/）
- MCP
-
customer-research —
vendor/marketing-skills/customer-research/SKILL.md
VOC / 评论区 / JTBD 语言；同样用 APDR 抓取工具，不强制付费 SEO API。 -
market-sizing（可选）—
vendor/pm-skills/pm-market-research/skills/market-sizing/SKILL.md -
swot-analysis（可选）—
vendor/pm-skills/pm-product-strategy/skills/swot-analysis/SKILL.md
在竞品摘要齐后再做。 -
sentiment-analysis（有反馈数据时）—
vendor/pm-skills/pm-market-research/skills/sentiment-analysis/SKILL.md
可选深度引擎（用户本机已装再调用）
| Skill | 路径 | 条件 |
|---|---|---|
| tavily-research | vendor/tavily-skills/tavily-research/SKILL.md |
tvly CLI 已登录 |
| firecrawl-market-research | vendor/firecrawl-skills/firecrawl-market-research/SKILL.md |
FIRECRAWL_API_KEY |
未安装时跳过，勿阻塞流水线。
报告交付
在 projects/{projectId}/research/ 写一份汇总报告，建议文件名：
competitive-research-report.md
结构：
# 竞品与市场调研报告 — {title}
日期 / 项目 id
## 问题与范围
## 竞品地图（直竞 / 间竞）
## 逐家档案摘要（链接到 competitors/*.md）
## 用户声音（VOC / 评论）
## SWOT（若已做）
## 市场规模（若已做）
## 对 APDR 的含义（差异化 → Requirements / PRD）
## 来源与引用
然后：
- 把关键引用 URL 写入
ProjectBrief.references或RequirementsAnalysis research_note（如可用）存短摘要- 不要把营销站「vs 页」当产品 PRD
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.
- 27d ago First seen · 82 lines · 60 tokens per session scan A 8b440e4d8bfe
apdr-competitive-research is a skill published in the GitHub repository lazysheep-z/apdr-product-design-runtime (3 stars, last pushed 3d ago), licensed MIT. It adds 60 tokens to every session and 908 once invoked, about $0.0002 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 2026-09-21.
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…
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…
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.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Optimize the meaningful UI available immediately from a Next.js route on an initial load (hard navigation) or named client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route and entry point at a time; the shipped test then guards…