N.E.K.O is a real-time AI catgirl companion designed to live with the user, initiate interaction, share media, and perform tasks through an emotional engine. It is intended for people seeking a proactive personal digital companion. The catalogue contains skills for working with it.
Borrowing it
Nothing to install: this file belongs to Project-N-E-K-O/N.E.K.O. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Project-N-E-K-O/N.E.K.O/main/.agent/skills/post-work-analysis/SKILL.mdgit clone --depth 1 https://github.com/Project-N-E-K-O/N.E.K.OWrote 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/project-n-e-k-o/n.e.k.o/post-work-analysis)<a href="https://agentmods.dev/skills/project-n-e-k-o/n.e.k.o/post-work-analysis"><img src="https://agentmods.dev/badge/skills/project-n-e-k-o/n.e.k.o/post-work-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/project-n-e-k-o/n.e.k.o/post-work-analysis"><img src="https://agentmods.dev/badge/skills/project-n-e-k-o/n.e.k.o/post-work-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 84 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00049 | $0.00794 |
| Opus 5 | $0.00024 | $0.00397 |
| Sonnet 5 | $0.00010 | $0.00159 |
| Haiku 4.5 | $0.00005 | $0.00079 |
Grade A, and why
📝 任务完成后归档 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 9d 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
📝 任务完成后归档 (Post-Work Analysis)
🔔 触发条件: 当你刚完成一个涉及调试、研究、或多次迭代的任务时，主动执行此流程！
应用场景
- ✅ 解决了非平凡的 bug
- ✅ 通过调查发现了根本原因
- ✅ 解决方案涉及多次尝试
- ✅ 知识对未来类似问题有价值
归档流程
1. 识别直接原因
直接原因: [一句话描述]
例: "边界检测使用模型中心点而非可见区域，导致放大后只能看到腿"
2. 分析根本原因
深入思考 - 为什么会存在这个问题？
- 设计缺陷: 架构问题？
- 工具/平台限制: 已知 bug？缺失功能？
- 人为因素: 开发中常见错误？
- 文档缺失: 文档不清晰？
3. 判断是否值得归档为 Skill
| 情况 | 是否归档 |
|---|---|
| 通用算法/公式（可复用于其他项目） | ✅ 归档 |
| 特定框架/库的陷阱和解决方案 | ✅ 归档 |
| 具体项目的代码组织问题 | ❌ 不归档 |
| 简单的拼写错误或配置问题 | ❌ 不归档 |
4. 创建/更新 Skill 文件
路径: .agent/skills/<topic>/SKILL.md
---
name: [skill-name]
description: [简要描述这个 skill 涵盖的内容]
---
# [标题]
## 症状
- [可观察的问题 1]
- [可观察的问题 2]
## 根本原因
### 原因 1: [名称]
- **问题**: [描述]
- **为什么发生**: [根因分析]
- **诊断方法**: [如何确认]
- **解决方案**: [如何修复]
## 代码解决方案
[可复用的代码片段和公式]
## 关键经验
- [要点]
5. 向用户汇报
- 修复了什么
- 根因总结
- 知识归档位置
- 遗留问题（如有）
归档示例
示例 1: VRM 物理调试
- 直接原因: 头部碰撞体过大
- 根因: 模型缩放不一致、Unity 导出 bug
- 归档:
.agent/skills/vrm-physics/SKILL.md
示例 2: 3D 拖拽交互
- 直接原因: 使用固定 panSpeed 导致缩放后移动不同步
- 根因: 未考虑相机距离对像素→世界空间映射的影响
- 归档:
.agent/skills/3d-interaction/SKILL.md（可选）
提醒
🚨 不要等用户提醒！ 每次完成复杂任务后，主动问自己：
- 这个问题有通用价值吗？
- 以后可能再遇到类似问题吗？
- 如果是，立即归档！
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.
- 9d ago First seen · 97 lines · 49 tokens per session scan A ded96cd87f85
📝 任务完成后归档 is a skill published in the GitHub repository Project-N-E-K-O/N.E.K.O (2,790 stars, last pushed yesterday), licensed Apache-2.0. It adds 49 tokens to every session and 794 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 2026-08-30.
Other skills, from other repositories
error-recovery-skill
Handle errors gracefully with retry strategies and fallback patterns.
multi-tool-orchestration-skill
Coordinate multiple tools together for complex multi-step tasks.
tikhub-skill
Scrape TikTok, Douyin, Instagram, YouTube, Twitter/X, Xiaohongshu, Bilibili, Kuaishou, Weibo, Reddit, Threads, LinkedIn and more through the TikHub pay-per-request API - discover endpoints, call them by id, parse any share URL, and check account balance.
stripe-skill
Process payments, manage customers, issue refunds, and handle subscriptions via the Stripe CLI. Pass any Stripe command (customers, charges, paymentintents, refunds, invoices, products, prices, subscriptions) and the tool runs it for you and returns parsed JSON.
whatsapp-db-skill
Query WhatsApp database for contacts, groups, channels, and chat history. Look up contact info, search groups, manage channels, retrieve messages.
ms-mail-skill
Send, read, search, reply to, and handle attachments of Outlook email via Microsoft Graph — for your own mailbox or a shared mailbox. Compose messages, list recent mail, search by text, reply/reply-all, and list or download file attachments (e.g. PDFs) for parsing.