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 hackermanishackerman/claude-skills-vault --skill beautiful-codegit clone --depth 1 https://github.com/hackermanishackerman/claude-skills-vaultWrote 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/hackermanishackerman/claude-skills-vault/beautiful-code)<a href="https://agentmods.dev/skills/hackermanishackerman/claude-skills-vault/beautiful-code"><img src="https://agentmods.dev/badge/skills/hackermanishackerman/claude-skills-vault/beautiful-code/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/hackermanishackerman/claude-skills-vault/beautiful-code"><img src="https://agentmods.dev/badge/skills/hackermanishackerman/claude-skills-vault/beautiful-code.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 | $0.00051 | $0.01736 |
| Opus 5.5 | $0.00020 | $0.00694 |
| Sonnet 5.5 | $0.00010 | $0.00347 |
| Haiku 4.5 | $0.00005 | $0.00174 |
Grade A, and why
beautiful-code 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.
How it starts
The opening of the file, as written. The whole thing — 247 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Beautiful Code Standards
Enforce production-grade code quality across TypeScript, Python, Go, and Rust.
When to Use
- Writing or reviewing code in TS/Python/Go/Rust
- Setting up linting/CI for a project
- Code quality audit or refactoring
- User requests code review or style check
Quick Reference
| Language | Type Safety | Linter | Complexity |
|---|---|---|---|
| TypeScript | strict, no any |
ESLint + tsx-eslint | max 10 |
| Python | mypy strict, PEP 484 |
Ruff + mypy | max 10 |
| Go | staticcheck | golangci-lint | max 10 |
| Rust | clippy pedantic | clippy + cargo-audit | - |
Severity Levels
| Level | Description | Action |
|---|---|---|
| Critical | Security vulnerabilities | Block merge |
| Error | Bugs, type violations, any |
Block merge |
| Warning | Code smells, complexity | Must address |
| Style | Formatting, naming | Auto-fix |
Core Rules (All Languages)
Type Safety
- No implicit any / untyped functions
- No type assertions without guards
- Explicit return types on public APIs
Security
- No hardcoded secrets (use gitleaks)
- No eval/pickle/unsafe deserialization
- Parameterized queries only
- SCA scanning (npm audit/pip-audit/govulncheck/cargo-audit)
Complexity
- Max cyclomatic complexity: 10
- Max function lines: 50
- Max nesting depth: 3
- Max parameters: 5
Error Handling
- No ignored errors (Go: no
_for err) - No bare except (Python)
- No unwrap in prod (Rust)
- Wrap errors with context
Language-Specific Standards
TypeScript
See: references/typescript.md
// CRITICAL: Never use any
const bad: any = data; // Error
const good: unknown = data; // OK
// ERROR: No type assertions
const bad = data as User; // Error
const good = isUser(data) ? data : null; // OK
// ERROR: Non-null assertions
const bad = user!.name; // Error
const good = user?.name ?? ''; // OK
What ships with it
20 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- configs/.gitleaks.toml 1.4 KB
- configs/.pre-commit-config.yaml 3.5 KB
- configs/go/.golangci.yaml 1.9 KB
- configs/python/pyproject.toml 2.1 KB
- configs/rust/clippy.toml 1.2 KB
- configs/typescript/.eslintrc.json 2.5 KB
- configs/typescript/.prettierrc 297 B
- configs/typescript/tsconfig.json 1.0 KB
- references/api-design.md 8.7 KB
- references/async-concurrency.md 9.4 KB
- references/database.md 8.4 KB
- references/go.md 7.2 KB
- references/logging.md 8.1 KB
- references/python.md 6.0 KB
- references/rust.md 6.2 KB
- references/security.md 7.4 KB
- references/testing.md 9.4 KB
- references/typescript.md 6.6 KB
- scripts/check_all.sh 4.0 KB runs code
- scripts/check_changed.sh 4.2 KB runs code
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 · 247 lines · 51 tokens per session scan A fed9397bf7c3
beautiful-code is a skill published in the GitHub repository hackermanishackerman/claude-skills-vault (2 stars, last pushed 6d ago), licensed MIT. It adds 51 tokens to every session and 1,736 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 2026-08-31.
Other skills, from other repositories
hypotheses
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swarm-pr-review
Run a graph-guided, tool-augmented PR review using context packing, parallel exploration, mandatory repository-agnostic risk-family coverage with dispatch scaled to diff size and risk, independent reviewer validation, critic challenge, and metrics writeback. Use for deep pull request review with low false-positive…
include-test-files-that-assert-on-behavior-being-changed-in-decl
When delegating a task affected by this skill, include.
night-market-change-control
Classify, gate, and review changes. Use when landing a PR, releasing, or amending rules. Do not use for failure triage; use night-market-debugging-playbook.
war-room-checkpoint
Assesses decision reversibility and risk at critical checkpoints. Use when a workflow reaches a high-stakes branch needing escalation check.
code-quality-principles
Applies KISS, YAGNI, and SOLID principles for clean code with reduced complexity. Use when refactoring or reviewing code for over-engineering.