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 unrealandychan/clean-code-skill --skill code-tourgit clone --depth 1 https://github.com/unrealandychan/clean-code-skillWrote 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/unrealandychan/clean-code-skill/code-tour)<a href="https://agentmods.dev/skills/unrealandychan/clean-code-skill/code-tour"><img src="https://agentmods.dev/badge/skills/unrealandychan/clean-code-skill/code-tour/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/unrealandychan/clean-code-skill/code-tour"><img src="https://agentmods.dev/badge/skills/unrealandychan/clean-code-skill/code-tour.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 | $0.00078 | $0.01993 |
| Opus 5.5 | $0.00031 | $0.00797 |
| Sonnet 5.5 | $0.00016 | $0.00399 |
| Haiku 4.5 | $0.00008 | $0.00199 |
Grade A, and why
code-tour 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 1mo 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.
This is a copy
94% identical to code-tour — 26 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 255 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Tour
Create CodeTour .tour files for codebase walkthroughs that open directly to real files and line ranges. Tours live in .tours/ and are meant for the CodeTour format, not ad hoc Markdown notes.
A good tour is a narrative for a specific reader:
- what they are looking at
- why it matters
- what path they should follow next
Only create .tour JSON files. Do not modify source code as part of this skill.
When to Use
Use this skill when:
- the user asks for a code tour, onboarding tour, architecture walkthrough, or PR tour
- the user says "explain how X works" and wants a reusable guided artifact
- the user wants a ramp-up path for a new engineer or reviewer
- the task is better served by a guided sequence than a flat summary
Examples:
- onboarding a new maintainer
- architecture tour for one service or package
- PR-review walk-through anchored to changed files
- RCA tour showing the failure path
- security review tour of trust boundaries and key checks
When NOT to Use
| Instead of code-tour | Use |
|---|---|
| A one-off explanation in chat is enough | answer directly |
The user wants prose docs, not a .tour artifact |
documentation-lookup or repo docs editing |
| The task is implementation or refactoring | do the implementation work |
| The task is broad codebase onboarding without a tour artifact | codebase-onboarding |
Workflow
1. Discover
Explore the repo before writing anything:
- README and package/app entry points
- folder structure
- relevant config files
- the changed files if the tour is PR-focused
Do not start writing steps before you understand the shape of the code.
2. Infer the reader
Decide the persona and depth from the request.
| Request shape | Persona | Suggested depth |
|---|---|---|
| "onboarding", "new joiner" | new-joiner |
9-13 steps |
| "quick tour", "vibe check" | vibecoder |
5-8 steps |
| "architecture" | architect |
14-18 steps |
| "tour this PR" | pr-reviewer |
7-11 steps |
| "why did this break" | rca-investigator |
7-11 steps |
| "security review" | security-reviewer |
7-11 steps |
| "explain how this feature works" | feature-explainer |
7-11 steps |
| "debug this path" | bug-fixer |
7-11 steps |
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.
- 1mo ago First seen · 255 lines · 78 tokens per session scan A 416c7eb92295
code-tour is a skill published in the GitHub repository unrealandychan/clean-code-skill (12 stars, last pushed 1mo ago), licensed MIT. It adds 78 tokens to every session and 1,993 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 94% identical to code-tour, differing in 26 lines, and is treated as a copy.
Other skills, from other repositories
hr-onboarding
A new-hire onboarding plan as a single page — first week schedule, buddy + manager intro, learning track, equipment checklist, and "you're set when…" outcomes. Use when the brief mentions "onboarding", "new hire", "first week plan", or "入职".
book-mirror
Take any book (EPUB/PDF), produce a personalized chapter-by-chapter analysis. Each chapter is preserved in detail (The Chapter) and mirrored back to the reader's actual life (The Mirror) using brain context. The mirror observes and resonates — a friend pointing out parallels, NOT a consultant rearranging the reader's…
exam-forecast
Analyze past exams from the same professor to surface patterns — subject weighting, recurring issue-spot traps, favored hypo types, policy-vs-doctrine mix — and forecast likely emphases for the upcoming exam. Use when the user says "what's on the exam", "analyze past exams", "predict the exam", or shares past exams.
lean-formalize
Develop and verify a mathematical proof in Lean, continue an incomplete Lean project, or audit whether it proves the original statement. Connect actual inputs to intermediate lemmas, assemble the target theorem, check its transitive axioms, and provide a reproducible handoff. Use when Lean is requested or a specific…
miniapp
Build a tiny interactive HTML playground only when someone asks to see, play with, or step through a mechanism.
eli5
Explain research, papers, or technical ideas in plain English with minimal jargon, concrete analogies, and clear takeaways. Use when the user says "ELI5 this", asks for a simple explanation of a paper or research result, wants jargon removed, or asks what something technically dense actually means.