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 guofu-shiqu/ux-expert-skills --skill exp-asset-accumulationgit clone --depth 1 https://github.com/guofu-shiqu/ux-expert-skillsWrote 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/guofu-shiqu/ux-expert-skills/exp-asset-accumulation)<a href="https://agentmods.dev/skills/guofu-shiqu/ux-expert-skills/exp-asset-accumulation"><img src="https://agentmods.dev/badge/skills/guofu-shiqu/ux-expert-skills/exp-asset-accumulation/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/guofu-shiqu/ux-expert-skills/exp-asset-accumulation"><img src="https://agentmods.dev/badge/skills/guofu-shiqu/ux-expert-skills/exp-asset-accumulation.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 | $0.00041 | $0.00669 |
| Opus 5 | $0.00020 | $0.00334 |
| Sonnet 5 | $0.00008 | $0.00134 |
| Haiku 4.5 | $0.00004 | $0.00067 |
Grade A, and why
exp-asset-accumulation 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 12d 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.
What it actually says
体验资产沉淀
判断产出是否具备复用价值，选择资产类型，填写资产回写模板。
触发条件
- 一次体验分析产生了可复用的产出
- 服务复盘产生了可复用的场景、规则、话术、指标或案例
- 需要将经验沉淀为可复用资产
- 需要建立体验知识库
核心能力
1. 判断复用价值
判断产出是否具备复用价值：
- 是否适用于多个场景
- 是否可以被其他项目借鉴
- 是否包含了通用的方法论或规则
- 是否值得未来查阅和引用
2. 选择资产类型
根据产出内容，选择合适的资产类型：
| 资产类型 | 说明 | 适用内容 |
|---|---|---|
| 场景 | 典型的体验场景 | 场景卡、场景描述 |
| 旅程 | 典型的用户旅程 | 旅程地图、旅程阶段表 |
| 指标 | 可复用的体验指标 | 指标卡、计算方式 |
| 话术 | 可复用的表达和话术 | 客服话术、营销文案 |
| 规则 | 可复用的设计规则 | 设计准则、检查清单 |
| 案例 | 典型的成功或失败案例 | 案例分析、经验总结 |
| 模板 | 可复用的模板和框架 | 分析模板、报告模板 |
| 知识条目 | 可复用的知识点 | 方法论、原理、最佳实践 |
| 编排卡 | 可自动执行的编排逻辑 | 触发条件、判断规则、响应动作 |
| 其他 | 其他类型的资产 | 根据具体内容判断 |
3. 填写资产回写模板
为每种资产类型填写相应的回写模板。
输出格式：资产回写卡
【资产回写卡】
▸ 资产名称：[...]
▸ 资产类型：[场景/旅程/指标/话术/规则/案例/模板/知识条目/编排卡/其他]
▸ 来源：[来自哪个项目/分析]
▸ 适用场景：
[这个资产适用于什么场景]
▸ 使用方法：
[如何使用这个资产]
▸ 注意事项：
[使用这个资产需要注意什么]
▸ 关联指标：
[这个资产关联哪些体验指标]
▸ 更新时间：[YYYY-MM-DD]
使用方法
当一次体验分析或服务复盘产生了可复用的产出时，调用本 skill 判断复用价值，选择合适的资产类型，填写资产回写卡，将经验沉淀为可复用资产。
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.
- 12d ago First seen · 74 lines · 41 tokens per session scan A 2758dcae5815
exp-asset-accumulation is a skill published in the GitHub repository guofu-shiqu/ux-expert-skills (2 stars, last pushed 2mo ago), licensed MIT. It adds 41 tokens to every session and 669 once invoked, about $0.0002 per session on Opus 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 2026-08-31.
Other skills, from other repositories
inspector-workbench
Runs Inspector UI work on the standalone Threads state lab so the agent can see the overlay. Use when a CopilotKit employee asks an agent to fix, polish, add, or debug Inspector UI, chrome, panes, overlay actions, launcher, Home, Threads, Playground, Memory, or any visual behavior in @copilotkit/web-inspector. Don't…
obsidian-bases
Explain, draft, and validate Obsidian Bases .base files with filters, formulas, properties, summaries, and table, card, or list views. Use for Obsidian Bases, database-like vault views, dynamic tables, reading lists, task trackers, filters, formulas, summaries, and .base file edits.
save
Save a user-selected answer, decision, insight, or session summary into an Obsidian vault as one reviewed transaction. Use only when the user explicitly asks to preserve specific conversation content, not when they supply a file or URL to ingest. Triggers: /save, save this, save that answer, file this conversation…
wiki-fold
Create a bounded, extractive, structurally idempotent rollup of recent Obsidian wiki log entries, with dry-run preview by default and one optional transaction apply. Use for manual log compression without modifying child pages. Triggers: fold the log, run a fold, run wiki-fold, log rollup, roll up log entries, commit…
wiki-retrieve
Build and query a vault-local contextual BM25 retrieval index with optional multilingual Nomic cosine reranking; use for retrieve, hybrid retrieval, BM25, rerank, contextual retrieval, chunk search, vault search, semantic search, find relevant passages, or retrieval diagnostics. Derived caches stay under .vault-meta…
wiki-mode
Read or configure the vault filing methodology and suggest destinations for planned knowledge creation under Generic, LYT, PARA, or Zettelkasten. Use for wiki mode, methodology mode, what is my vault mode, set vault mode, switch to PARA, use LYT, Zettelkasten setup, change mode, configure mode, or methodology routing.…