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 agentmods add skills/longyunfeigu/paoding-skill/paoding-skillnpx skills add longyunfeigu/paoding-skill --skill paoding-skillgit clone --depth 1 https://github.com/longyunfeigu/paoding-skillWhat 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 | $0.00105 | $0.02269 |
| Opus 5 | $0.00053 | $0.01135 |
| Sonnet 5 | $0.00021 | $0.00454 |
| Haiku 4.5 | $0.00011 | $0.00227 |
Grade A, and why
paoding-skill 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 2d 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 — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.
庖丁 · Skill 解剖术
Purpose
Turn a skill package into useful creator notes. Explain how the skill changes an agent's behavior, what bad output it prevents, which parts are worth copying, and which parts are too heavy for the job.
Default to the smallest useful output. A web handbook is an output mode, not the identity of this skill.
Start Here
- Map the source package first.
- Choose the output mode from the user's request:
- Review / keep-cut advice: write a direct Markdown review.
- Pattern extraction: write human notes and optional JSON/YAML.
- Web handbook / 解剖手册: read
references/handbook-spec.md, thenreferences/web-production-flow.md.
- Load only the companion reference needed for the current section. Examples are calibration only; references and source files are the contract.
Workflow
1. Map the Package
Treat the input as a single SKILL.md, a skill directory, or a folder of skills.
- Find every
SKILL.md. - Note
references/,scripts/,assets/,examples/,tests/, and metadata. - Read the entry
SKILL.mdfirst. - Read referenced files only when they explain the skill's design.
- Inspect scripts to see which fragile jobs they take away from the agent —
and run every script that has a valid in-package input (mandatory; see
可执行工件必跑 in
references/evidence-collection.md).
For a batch, analyze representative skills first, then scan the rest for repeated structures.
2. Find the Real Task Pain
Read references/pain-dimensions.md, then run its item-driven sweep:
- Imagine doing the task bare (a human novice, then a default agent) and list where each would fail.
- Inventory every rule, script, intermediate artifact, and checkpoint in the package. List the intermediate artifacts completely.
- Run each item through the three-question pain test (counterfactual, baseline, evidence grade) and tag it with one of the seven dimension labels.
- Reconcile: pains the skill catches that you missed, pains you expected that it ignores (blind spots), and residue that fits nowhere.
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.
- 2d ago First seen · 211 lines · 105 tokens per session scan A 2bdb9a9c72d7
paoding-skill is a skill published in the GitHub repository longyunfeigu/paoding-skill (24 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 105 tokens to every session and 2,269 once invoked, about $0.0005 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
web-clone
网站复刻 / 克隆方法论。USE WHEN 用户说 复刻网站、克隆网站、clone website、抄个站、仿站、 照着这个站做一个、reproduce site、还原某个网页效果、把这个站搬下来改成我的、 复刻某个交互/WebGL/Canvas/Three.js 效果。提供「先拿真源码 → 判路径 → 逆向拆解 → 搭工程 → 替换内容」的可移植决策树，覆盖静态站 / React-Vue-Next 内容站 / WebGL-Canvas 重前端站三大分支，并强制核对任何 AI 二手分析里的可执行代码。.
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