Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
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fast-check patterns for JS/TS — 6 canonical property categories with worked examples targeting agent-studio utilities (path normalization, safe-json, glob-to-regex, routing logic)
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
fast-check patterns for JavaScript/TypeScript that find edge cases unit tests miss. Includes 6 canonical property categories with worked examples targeting agent-studio's own utilities.
import fc from 'fast-check';
// If you serialize then deserialize, you get back the original
fc.assert(
fc.property(fc.anything(), value => {
expect(deserialize(serialize(value))).toEqual(value);
})
);
// Applying a function twice gives same result as once
fc.assert(
fc.property(fc.string(), str => {
expect(normalize(normalize(str))).toEqual(normalize(str));
})
);
// Order of inputs shouldn't matter
fc.assert(
fc.property(fc.array(fc.integer()), arr => {
expect(sum(arr)).toEqual(sum([...arr].reverse()));
})
);
// Output always has certain structural properties
fc.assert(
fc.property(fc.string(), input => {
const result = parseArgs(input);
expect(result).toHaveProperty('args');
expect(Array.isArray(result.args)).toBe(true);
})
);
// Compare fast implementation against slow-but-correct reference
fc.assert(
fc.property(fc.array(fc.integer()), arr => {
expect(fastSort(arr)).toEqual(referenceSort(arr));
})
);
// If input changes in a known way, output changes in a predictable way
fc.assert(
fc.property(fc.array(fc.integer()), arr => {
const sorted = sort(arr);
const sortedWithExtra = sort([...arr, Number.MAX_SAFE_INTEGER]);
expect(sortedWithExtra[sortedWithExtra.length - 1]).toBe(Number.MAX_SAFE_INTEGER);
})
);
import fc from 'fast-check';
const { normalizePath } = require('.claude/lib/utils/path-constants.cjs');
// Property: normalized path never contains backslashes
fc.assert(
fc.property(fc.string(), path => {
expect(normalizePath(path)).not.toMatch(/\\/);
})
);
// Property: idempotent
fc.assert(
fc.property(fc.string(), path => {
expect(normalizePath(normalizePath(path))).toEqual(normalizePath(path));
})
);
const { safeParseJSON } = require('.claude/lib/utils/safe-json.cjs');
// Property: never throws, always returns { success, data }
fc.assert(
fc.property(fc.string(), input => {
const result = safeParseJSON(input, null);
expect(result).toHaveProperty('success');
expect(typeof result.success).toBe('boolean');
})
);
// Property: prototype pollution not possible
fc.assert(
fc.property(fc.string(), input => {
const before = Object.prototype.toString;
safeParseJSON(input, null);
expect(Object.prototype.toString).toBe(before);
})
);
// Property: patterns with **/dir/** match root-level dir
fc.assert(
fc.property(fc.constantFrom('foo', 'bar', 'baz'), dir => {
const pattern = `**/${dir}/**`;
const regex = globToRegex(pattern);
expect(`${dir}/file.js`).toMatch(regex); // root-level match
expect(`a/${dir}/file.js`).toMatch(regex); // nested match
})
);
// Property: routing is deterministic (same input -> same agent)
fc.assert(
fc.property(fc.string(), intent => {
expect(route(intent)).toEqual(route(intent));
})
);
// Property: routing never returns null/undefined
fc.assert(
fc.property(fc.string(), intent => {
expect(route(intent)).toBeTruthy();
})
);
pnpm add -D fast-check
# Run all property tests
node --test tests/**/*.property.test.cjs
# Run with verbose output (shows counterexamples on failure)
FAST_CHECK_VERBOSE=true node --test tests/**/*.property.test.cjs
fast-check automatically shrinks failing inputs to the minimal counterexample. Example:
"C:\\Users\\foo\\deep\\nested\\path""a\\b" (minimal backslash case)This makes debugging far faster than traditional fuzzing.
Before starting:
Read .claude/context/memory/learnings.md
After completing:
.claude/context/memory/learnings.md.claude/context/memory/issues.md.claude/context/memory/decisions.mdASSUME INTERRUPTION: If it's not in memory, it didn't happen.
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Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
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Use when you want to improve response quality through meta-cognitive reasoning. Applies 15+ reasoning methods to reconsider and refine initial outputs.
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N-round opposing-stance debates for trade-off analysis. Assigns pro/con roles to agents, runs structured debate rounds with quality scoring, and produces a moderator synthesis with confidence-rated recommendation. Generalizable to architecture, technology, security, and design decisions.
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Force adversarial code review stance that eliminates confirmation bias — reviewer must find issues or re-analyze
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Creates specialized AI agents on-demand when no existing agent matches a request. Use when the Router cannot find a suitable agent for a task. Enables self-evolution by generating persistent agents.
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LLM-as-judge evaluation framework with 5-dimension rubric (accuracy, groundedness, coherence, completeness, helpfulness) for scoring AI-generated content quality with weighted composite scores and evidence citations
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