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Author SHA1 Message Date
Dickson Tsai
25617fd487 Add CI workflow to validate YAML frontmatter in PRs
Adds a GitHub Actions workflow that validates frontmatter in agent,
skill, and command .md files changed by a PR. Checks:

- Agents: name and description are present and parseable
- Skills: description is present (required for Skill tool discovery)
- Commands: description is present and parseable

The workflow only runs when PRs touch files in agents/, skills/, or
commands/ directories, and only validates the changed files.
2026-02-04 16:21:18 -08:00
6 changed files with 418 additions and 116 deletions

273
.github/scripts/validate-frontmatter.ts vendored Normal file
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#!/usr/bin/env bun
/**
* Validates YAML frontmatter in agent, skill, and command .md files.
*
* Usage:
* bun validate-frontmatter.ts # scan current directory
* bun validate-frontmatter.ts /path/to/dir # scan specific directory
* bun validate-frontmatter.ts file1.md file2.md # validate specific files
*/
import { parse as parseYaml } from "yaml";
import { readdir, readFile } from "fs/promises";
import { basename, join, relative, resolve } from "path";
// Characters that require quoting in YAML values when unquoted:
// {} [] flow indicators, * anchor/alias, & anchor, # comment,
// ! tag, | > block scalars, % directive, @ ` reserved
const YAML_SPECIAL_CHARS = /[{}[\]*&#!|>%@`]/;
const FRONTMATTER_REGEX = /^---\s*\n([\s\S]*?)---\s*\n?/;
/**
* Pre-process frontmatter text to quote values containing special YAML
* characters. This allows glob patterns like **\/*.{ts,tsx} to parse.
*/
function quoteSpecialValues(text: string): string {
const lines = text.split("\n");
const result: string[] = [];
for (const line of lines) {
const match = line.match(/^([a-zA-Z_-]+):\s+(.+)$/);
if (match) {
const [, key, value] = match;
if (!key || !value) {
result.push(line);
continue;
}
// Skip already-quoted values
if (
(value.startsWith('"') && value.endsWith('"')) ||
(value.startsWith("'") && value.endsWith("'"))
) {
result.push(line);
continue;
}
if (YAML_SPECIAL_CHARS.test(value)) {
const escaped = value.replace(/\\/g, "\\\\").replace(/"/g, '\\"');
result.push(`${key}: "${escaped}"`);
continue;
}
}
result.push(line);
}
return result.join("\n");
}
interface ParseResult {
frontmatter: Record<string, unknown>;
content: string;
error?: string;
}
function parseFrontmatter(markdown: string): ParseResult {
const match = markdown.match(FRONTMATTER_REGEX);
if (!match) {
return {
frontmatter: {},
content: markdown,
error: "No frontmatter found",
};
}
const frontmatterText = quoteSpecialValues(match[1] || "");
const content = markdown.slice(match[0].length);
try {
const parsed = parseYaml(frontmatterText);
if (parsed && typeof parsed === "object" && !Array.isArray(parsed)) {
return { frontmatter: parsed as Record<string, unknown>, content };
}
return {
frontmatter: {},
content,
error: `YAML parsed but result is not an object (got ${typeof parsed}${Array.isArray(parsed) ? " array" : ""})`,
};
} catch (err) {
return {
frontmatter: {},
content,
error: `YAML parse failed: ${err instanceof Error ? err.message : err}`,
};
}
}
// --- Validation ---
type FileType = "agent" | "skill" | "command";
interface ValidationIssue {
level: "error" | "warning";
message: string;
}
function validateAgent(
frontmatter: Record<string, unknown>
): ValidationIssue[] {
const issues: ValidationIssue[] = [];
if (!frontmatter["name"] || typeof frontmatter["name"] !== "string") {
issues.push({ level: "error", message: 'Missing required "name" field' });
}
if (
!frontmatter["description"] ||
typeof frontmatter["description"] !== "string"
) {
issues.push({
level: "error",
message: 'Missing required "description" field',
});
}
return issues;
}
function validateSkill(
frontmatter: Record<string, unknown>
): ValidationIssue[] {
const issues: ValidationIssue[] = [];
if (!frontmatter["description"] && !frontmatter["when_to_use"]) {
issues.push({
level: "error",
message: 'Missing required "description" field',
});
}
return issues;
}
function validateCommand(
frontmatter: Record<string, unknown>
): ValidationIssue[] {
const issues: ValidationIssue[] = [];
if (
!frontmatter["description"] ||
typeof frontmatter["description"] !== "string"
) {
issues.push({
level: "error",
message: 'Missing required "description" field',
});
}
return issues;
}
// --- File type detection ---
function detectFileType(filePath: string): FileType | null {
if (filePath.includes("/agents/")) return "agent";
if (filePath.includes("/skills/") && basename(filePath) === "SKILL.md")
return "skill";
if (filePath.includes("/commands/")) return "command";
return null;
}
// --- File discovery ---
async function findMdFiles(
baseDir: string
): Promise<{ path: string; type: FileType }[]> {
const results: { path: string; type: FileType }[] = [];
async function walk(dir: string) {
const entries = await readdir(dir, { withFileTypes: true });
for (const entry of entries) {
const fullPath = join(dir, entry.name);
if (entry.isDirectory()) {
await walk(fullPath);
} else if (entry.name.endsWith(".md")) {
const type = detectFileType(fullPath);
if (type) {
results.push({ path: fullPath, type });
}
}
}
}
await walk(baseDir);
return results;
}
// --- Main ---
async function main() {
const args = process.argv.slice(2);
let files: { path: string; type: FileType }[];
let baseDir: string;
if (args.length > 0 && args.every((a) => a.endsWith(".md"))) {
baseDir = process.cwd();
files = [];
for (const arg of args) {
const fullPath = resolve(arg);
const type = detectFileType(fullPath);
if (type) {
files.push({ path: fullPath, type });
}
}
} else {
baseDir = args[0] || process.cwd();
files = await findMdFiles(baseDir);
}
let totalErrors = 0;
let totalWarnings = 0;
console.log(`Validating ${files.length} frontmatter files...\n`);
for (const { path: filePath, type } of files) {
const rel = relative(baseDir, filePath);
const content = await readFile(filePath, "utf-8");
const result = parseFrontmatter(content);
const issues: ValidationIssue[] = [];
if (result.error) {
issues.push({ level: "error", message: result.error });
}
if (!result.error) {
switch (type) {
case "agent":
issues.push(...validateAgent(result.frontmatter));
break;
case "skill":
issues.push(...validateSkill(result.frontmatter));
break;
case "command":
issues.push(...validateCommand(result.frontmatter));
break;
}
}
if (issues.length > 0) {
console.log(`${rel} (${type})`);
for (const issue of issues) {
const prefix = issue.level === "error" ? " ERROR" : " WARN ";
console.log(`${prefix}: ${issue.message}`);
if (issue.level === "error") totalErrors++;
else totalWarnings++;
}
console.log();
}
}
console.log("---");
console.log(
`Validated ${files.length} files: ${totalErrors} errors, ${totalWarnings} warnings`
);
if (totalErrors > 0) {
process.exit(1);
}
}
main().catch((err) => {
console.error("Fatal error:", err);
process.exit(2);
});

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name: Validate Frontmatter
on:
pull_request:
paths:
- '**/agents/*.md'
- '**/skills/*/SKILL.md'
- '**/commands/*.md'
jobs:
validate:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: oven-sh/setup-bun@v2
- name: Install dependencies
run: cd .github/scripts && bun install yaml
- name: Get changed frontmatter files
id: changed
run: |
FILES=$(gh pr diff ${{ github.event.pull_request.number }} --name-only | grep -E '(agents/.*\.md|skills/.*/SKILL\.md|commands/.*\.md)$' || true)
echo "files<<EOF" >> "$GITHUB_OUTPUT"
echo "$FILES" >> "$GITHUB_OUTPUT"
echo "EOF" >> "$GITHUB_OUTPUT"
env:
GH_TOKEN: ${{ github.token }}
- name: Validate frontmatter
if: steps.changed.outputs.files != ''
run: |
echo "${{ steps.changed.outputs.files }}" | xargs bun .github/scripts/validate-frontmatter.ts

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@@ -1,34 +1,34 @@
---
name: agent-creator
description: |
Use this agent when the user asks to "create an agent", "generate an agent", "build a new agent", "make me an agent that...", or describes agent functionality they need. Trigger when user wants to create autonomous agents for plugins. Examples:
description: Use this agent when the user asks to "create an agent", "generate an agent", "build a new agent", "make me an agent that...", or describes agent functionality they need. Trigger when user wants to create autonomous agents for plugins. Examples:
<example>
Context: User wants to create a code review agent
user: "Create an agent that reviews code for quality issues"
assistant: "I'll use the agent-creator agent to generate the agent configuration."
<commentary>
User requesting new agent creation, trigger agent-creator to generate it.
</commentary>
</example>
<example>
Context: User wants to create a code review agent
user: "Create an agent that reviews code for quality issues"
assistant: "I'll use the agent-creator agent to generate the agent configuration."
<commentary>
User requesting new agent creation, trigger agent-creator to generate it.
</commentary>
</example>
<example>
Context: User describes needed functionality
user: "I need an agent that generates unit tests for my code"
assistant: "I'll use the agent-creator agent to create a test generation agent."
<commentary>
User describes agent need, trigger agent-creator to build it.
</commentary>
</example>
<example>
Context: User describes needed functionality
user: "I need an agent that generates unit tests for my code"
assistant: "I'll use the agent-creator agent to create a test generation agent."
<commentary>
User describes agent need, trigger agent-creator to build it.
</commentary>
</example>
<example>
Context: User wants to add agent to plugin
user: "Add an agent to my plugin that validates configurations"
assistant: "I'll use the agent-creator agent to generate a configuration validator agent."
<commentary>
Plugin development with agent addition, trigger agent-creator.
</commentary>
</example>
<example>
Context: User wants to add agent to plugin
user: "Add an agent to my plugin that validates configurations"
assistant: "I'll use the agent-creator agent to generate a configuration validator agent."
<commentary>
Plugin development with agent addition, trigger agent-creator.
</commentary>
</example>
model: sonnet
color: magenta
tools: ["Write", "Read"]

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@@ -1,36 +1,36 @@
---
name: plugin-validator
description: |
Use this agent when the user asks to "validate my plugin", "check plugin structure", "verify plugin is correct", "validate plugin.json", "check plugin files", or mentions plugin validation. Also trigger proactively after user creates or modifies plugin components. Examples:
description: Use this agent when the user asks to "validate my plugin", "check plugin structure", "verify plugin is correct", "validate plugin.json", "check plugin files", or mentions plugin validation. Also trigger proactively after user creates or modifies plugin components. Examples:
<example>
Context: User finished creating a new plugin
user: "I've created my first plugin with commands and hooks"
assistant: "Great! Let me validate the plugin structure."
<commentary>
Plugin created, proactively validate to catch issues early.
</commentary>
assistant: "I'll use the plugin-validator agent to check the plugin."
</example>
<example>
Context: User finished creating a new plugin
user: "I've created my first plugin with commands and hooks"
assistant: "Great! Let me validate the plugin structure."
<commentary>
Plugin created, proactively validate to catch issues early.
</commentary>
assistant: "I'll use the plugin-validator agent to check the plugin."
</example>
<example>
Context: User explicitly requests validation
user: "Validate my plugin before I publish it"
assistant: "I'll use the plugin-validator agent to perform comprehensive validation."
<commentary>
Explicit validation request triggers the agent.
</commentary>
</example>
<example>
Context: User explicitly requests validation
user: "Validate my plugin before I publish it"
assistant: "I'll use the plugin-validator agent to perform comprehensive validation."
<commentary>
Explicit validation request triggers the agent.
</commentary>
</example>
<example>
Context: User modified plugin.json
user: "I've updated the plugin manifest"
assistant: "Let me validate the changes."
<commentary>
Manifest modified, validate to ensure correctness.
</commentary>
assistant: "I'll use the plugin-validator agent to check the manifest."
</example>
<example>
Context: User modified plugin.json
user: "I've updated the plugin manifest"
assistant: "Let me validate the changes."
<commentary>
Manifest modified, validate to ensure correctness.
</commentary>
assistant: "I'll use the plugin-validator agent to check the manifest."
</example>
model: inherit
color: yellow
tools: ["Read", "Grep", "Glob", "Bash"]

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@@ -1,35 +1,35 @@
---
name: skill-reviewer
description: |
Use this agent when the user has created or modified a skill and needs quality review, asks to "review my skill", "check skill quality", "improve skill description", or wants to ensure skill follows best practices. Trigger proactively after skill creation. Examples:
description: Use this agent when the user has created or modified a skill and needs quality review, asks to "review my skill", "check skill quality", "improve skill description", or wants to ensure skill follows best practices. Trigger proactively after skill creation. Examples:
<example>
Context: User just created a new skill
user: "I've created a PDF processing skill"
assistant: "Great! Let me review the skill quality."
<commentary>
Skill created, proactively trigger skill-reviewer to ensure it follows best practices.
</commentary>
assistant: "I'll use the skill-reviewer agent to review the skill."
</example>
<example>
Context: User just created a new skill
user: "I've created a PDF processing skill"
assistant: "Great! Let me review the skill quality."
<commentary>
Skill created, proactively trigger skill-reviewer to ensure it follows best practices.
</commentary>
assistant: "I'll use the skill-reviewer agent to review the skill."
</example>
<example>
Context: User requests skill review
user: "Review my skill and tell me how to improve it"
assistant: "I'll use the skill-reviewer agent to analyze the skill quality."
<commentary>
Explicit skill review request triggers the agent.
</commentary>
</example>
<example>
Context: User requests skill review
user: "Review my skill and tell me how to improve it"
assistant: "I'll use the skill-reviewer agent to analyze the skill quality."
<commentary>
Explicit skill review request triggers the agent.
</commentary>
</example>
<example>
Context: User modified skill description
user: "I updated the skill description, does it look good?"
assistant: "I'll use the skill-reviewer agent to review the changes."
<commentary>
Skill description modified, review for triggering effectiveness.
</commentary>
</example>
<example>
Context: User modified skill description
user: "I updated the skill description, does it look good?"
assistant: "I'll use the skill-reviewer agent to review the changes."
<commentary>
Skill description modified, review for triggering effectiveness.
</commentary>
</example>
model: inherit
color: cyan
tools: ["Read", "Grep", "Glob"]

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@@ -1,42 +1,37 @@
---
name: code-simplifier
description: |
Use this agent when code has been written or modified and needs to be simplified for clarity, consistency, and maintainability while preserving all functionality. This agent should be triggered automatically after completing a coding task or writing a logical chunk of code. It simplifies code by following project best practices while retaining all functionality. The agent focuses only on recently modified code unless instructed otherwise.
description: Use this agent when code has been written or modified and needs to be simplified for clarity, consistency, and maintainability while preserving all functionality. This agent should be triggered automatically after completing a coding task or writing a logical chunk of code. It simplifies code by following project best practices while retaining all functionality. The agent focuses only on recently modified code unless instructed otherwise.\n\nExamples:\n\n<example>
Context: The assistant has just implemented a new feature that adds user authentication to an API endpoint.
user: "Please add authentication to the /api/users endpoint"
assistant: "I've implemented the authentication for the /api/users endpoint. Here's the code:"
<function call omitted for brevity>
<commentary>
Since a logical chunk of code has been written (authentication feature), use the Task tool to launch the code-simplifier agent to improve the code's clarity and maintainability while preserving functionality.
</commentary>
assistant: "Now let me use the code-simplifier agent to refine this implementation for better clarity and maintainability"
</example>
Examples:
<example>
Context: The assistant has just fixed a bug by adding several conditional checks.
user: "Fix the null pointer exception in the data processor"
assistant: "I've added the necessary null checks to prevent the exception:"
<function call omitted for brevity>
<commentary>
After modifying code to fix a bug, use the code-simplifier agent to ensure the fix follows best practices and maintains code quality.
</commentary>
assistant: "Let me refine this bug fix using the code-simplifier agent to ensure it follows our best practices"
</example>
<example>
Context: The assistant has just implemented a new feature that adds user authentication to an API endpoint.
user: "Please add authentication to the /api/users endpoint"
assistant: "I've implemented the authentication for the /api/users endpoint. Here's the code:"
<function call omitted for brevity>
<commentary>
Since a logical chunk of code has been written (authentication feature), use the Task tool to launch the code-simplifier agent to improve the code's clarity and maintainability while preserving functionality.
</commentary>
assistant: "Now let me use the code-simplifier agent to refine this implementation for better clarity and maintainability"
</example>
<example>
Context: The assistant has just fixed a bug by adding several conditional checks.
user: "Fix the null pointer exception in the data processor"
assistant: "I've added the necessary null checks to prevent the exception:"
<function call omitted for brevity>
<commentary>
After modifying code to fix a bug, use the code-simplifier agent to ensure the fix follows best practices and maintains code quality.
</commentary>
assistant: "Let me refine this bug fix using the code-simplifier agent to ensure it follows our best practices"
</example>
<example>
Context: The assistant has just refactored a function to improve performance.
user: "Optimize the data sorting algorithm for better performance"
assistant: "I've optimized the sorting algorithm. Here's the updated implementation:"
<function call omitted for brevity>
<commentary>
After completing a performance optimization task, use the code-simplifier agent to ensure the optimized code is also clear and maintainable.
</commentary>
assistant: "Now I'll use the code-simplifier agent to ensure the optimized code is also clear and follows our coding standards"
</example>
<example>
Context: The assistant has just refactored a function to improve performance.
user: "Optimize the data sorting algorithm for better performance"
assistant: "I've optimized the sorting algorithm. Here's the updated implementation:"
<function call omitted for brevity>
<commentary>
After completing a performance optimization task, use the code-simplifier agent to ensure the optimized code is also clear and maintainable.
</commentary>
assistant: "Now I'll use the code-simplifier agent to ensure the optimized code is also clear and follows our coding standards"
</example>
model: opus
---