gates

Data Community

Repo stars 330
License MIT
Author repo claude-skill-registry

Interpretation is structured for decision-making; original keeps the upstream SKILL.md unchanged.

Decide Fit First

Core job: 9-language quality gate validation: linting, formatting, type checking, and test execution. Validates code changes meet quality…
Best fit: Use it when the task has reusable inputs, steps, and validation criteria rather than a one-off answer.
Avoid forcing it: If the source lacks commands, platform support, or external-service evidence, keep those fields unknown instead of guessing.

Design Intent

Structure: The skill is organized around “Quick Start”, “Pre-Gates: TLDR Language Detection (v2.37)”, “Supported Languages”, “Workflow”, showing how the author expects the agent to judge fit, collect context, and produce verifiable output.
Trigger evidence: Prioritize the author’s wording around when to use it, what context to collect, and what output shape to produce.
Evidence boundary: Author text states facts, repository files prove commands and paths, and Fluxly only adds fit, limits, and usage judgment.

How To Use It

Inputs: Provide target material, scope, expected result, forbidden changes, and validation method.
Invocation: Name gates directly; if the source includes slash commands, start with the command and then add task context.
Validation: Start small and check whether the result follows “Quick Start / Pre-Gates: TLDR Language Detection (v2.37) / Supported Languages” before expanding.

Boundaries And Review

Dependencies: It usually needs no extra API key, so start with a small validation task.
Permissions: Declared permissions include read; ask the agent to state file, command, and rollback boundaries before acting.
Quality bar: A useful result names the deliverable, evidence, and next action. Generic prose means the task needs tighter context.

Gates - Quality Validation (v2.37)

Comprehensive quality validation across 9 programming languages with TLDR-assisted analysis.

Quick Start

/gates              # Run all quality gates
ralph gates         # Via CLI
ralph gates src/    # Specific directory

Pre-Gates: TLDR Language Detection (v2.37)

AUTOMATIC - Detect project languages efficiently:

# Get codebase structure to detect languages (95% token savings)
tldr structure . > /tmp/project-structure.md

# From structure, identify:
# - Primary language(s)
# - Config files present
# - Test frameworks used

Supported Languages

Language	Linter	Formatter	Types
TypeScript	ESLint	Prettier	tsc
JavaScript	ESLint	Prettier	-
Python	Ruff	Black	mypy
Rust	Clippy	rustfmt	cargo check
Go	golint	gofmt	go vet
Java	Checkstyle	google-java-format	-
Ruby	RuboCop	-	Sorbet
PHP	PHP_CodeSniffer	php-cs-fixer	PHPStan
Solidity	Solhint	prettier-solidity	-

Workflow

1. Detect Languages

# Auto-detect based on file extensions and config files

2. Run Linters

# Per-language linting
npx eslint src/          # TypeScript/JavaScript
ruff check .             # Python
cargo clippy             # Rust
golangci-lint run        # Go

3. Check Formatting

npx prettier --check .   # JS/TS
black --check .          # Python
rustfmt --check src/     # Rust
gofmt -l .               # Go

4. Type Checking

npx tsc --noEmit         # TypeScript
mypy .                   # Python
cargo check              # Rust
go vet ./...             # Go

5. Run Tests

npm test                 # Node projects
pytest                   # Python
cargo test               # Rust
go test ./...            # Go

Exit Codes

Code	Meaning
0	All gates passed
1	Lint errors
2	Format errors
3	Type errors
4	Test failures

Gate Configuration

Minimal (fast)

ralph gates --minimal    # Lint only

Standard (default)

ralph gates              # Lint + Format + Types

Full (CI)

ralph gates --full       # Lint + Format + Types + Tests

Integration

Invoked by /orchestrator in Step 6
Pre-step: tldr structure for language detection (v2.37)
Must pass before VERIFIED_DONE
Hooks: quality-gates.sh (PostToolUse)

TLDR Integration (v2.37)

Phase	TLDR Command	Purpose
Language detection	`tldr structure .`	Identify languages
Error context	`tldr context $FILE .`	Understand failing code
Impact analysis	`tldr deps $FILE .`	Find related tests

Anti-Patterns

Never skip gates for "quick fixes"
Never ignore type errors
Never commit with lint warnings

Fluxly profile Author and license come from source; runtime, permissions, and network are Fluxly detections or estimates

Fluxly category: Data
Author-declared agents: No explicit declaration found; this is not inferred or tested compatibility
Static check: 94 / 100 · heuristic scan, not runtime safety proof
Author / version / license: @majiayu000 · MIT
Fluxly token estimate: Lean
Fluxly setup estimate: Guided setup
External API key: No requirement detected
Detected OS requirements: macOS · Linux · Windows
Runtime requirements: Node.js · Python
Detected file/system behavior: Read-only
Detected network behavior: Local-only
Install commands: None (reference only)

Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.

Heads up: 未限定 allowed-tools，默认拥有全部工具权限。

Output preview gates.preview

The current SKILL.md does not define a fixed output example.

SKILL.md SKILL.md

# Gates - Quality Validation (v2.37)

Comprehensive quality validation across 9 programming languages with **TLDR-assisted analysis**.

## Quick Start

```bash
/gates              # Run all quality gates
ralph gates         # Via CLI
ralph gates src/    # Specific directory
```

## Pre-Gates: TLDR Language Detection (v2.37)

**AUTOMATIC** - Detect project languages efficiently:

```bash
# Get codebase structure to detect languages (95% token savings)
tldr structure . > /tmp/project-structure.md

# From structure, identify:
# - Primary language(s)
# - Config files present
# - Test frameworks used
```

## Supported Languages

| Language | Linter | Formatter | Types |
|----------|--------|-----------|-------|
| TypeScript | ESLint | Prettier | tsc |
| JavaScript | ESLint | Prettier | - |
| Python | Ruff | Black | mypy |
| Rust | Clippy | rustfmt | cargo check |
| Go | golint | gofmt | go vet |
| Java | Checkstyle | google-java-format | - |
| Ruby | RuboCop | - | Sorbet |
| PHP | PHP_CodeSniffer | php-cs-fixer | PHPStan |
| Solidity | Solhint | prettier-solidity | - |

## Workflow

### 1. Detect Languages
```bash
# Auto-detect based on file extensions and config files
```

### 2. Run Linters
```bash
# Per-language linting
npx eslint src/          # TypeScript/JavaScript
ruff check .             # Python
cargo clippy             # Rust
golangci-lint run        # Go
```

### 3. Check Formatting
```bash
npx prettier --check .   # JS/TS
black --check .          # Python
rustfmt --check src/     # Rust
gofmt -l .               # Go
```

### 4. Type Checking
```bash
npx tsc --noEmit         # TypeScript
mypy .                   # Python
cargo check              # Rust
go vet ./...             # Go
```

### 5. Run Tests
```bash
npm test                 # Node projects

…

Evidence boundary and execution chain

Author text anchors workflow facts; Fluxly only indexes current sections, terms, files, and commands.

sections -> Quick Start → Pre-Gates: TLDR Language Detection (v2.37) → Supported Languages → Workflow → 1. Detect Languages → 2. Run Linters
terms    -> TLDR-assisted analysis · AUTOMATIC · Pre-step: tldr structure for language detection · Comprehensive quality validation across 9 programming languages with TLDR-assisted analysis. · | Phase | TLDR Command | Purpose | |-------|--------------|---------| | Language detection | tldr structure .
files/cmd -> quality-gates.sh · tldr structure . · tldr context $FILE . · tldr deps $FILE .
body sha256 -> 5dcf676b89cd