Parse Error Logs
maslennikov-ig/claude-code-orchestrator-kit
Parse build errors, test failures, type-check output, and validation logs into structured data.
Quality Engineering iteration loops for autonomous test improvement, coverage achievement, and quality gate compliance.
$ npx skills add proffesor-for-testing/agentic-qe --skill qe-iterative-loop -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install proffesor-for-testing/agentic-qe qe-iterative-loop --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/proffesor-for-testing/agentic-qe.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.kiro/skills/qe-iterative-loop .claude/skills/qe-iterative-loop && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "qe-iterative-loop" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/.kiro/skills/qe-iterative-loop into .claude/skills/qe-iterative-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qe-iterative-loop", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/proffesor-for-testing/agentic-qe/tree/main/.kiro/skills/qe-iterative-loopType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add proffesor-for-testing/agentic-qe --skill qe-iterative-loop -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install proffesor-for-testing/agentic-qe qe-iterative-loop --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/proffesor-for-testing/agentic-qe.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.kiro/skills/qe-iterative-loop .agents/skills/qe-iterative-loop && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "qe-iterative-loop" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/.kiro/skills/qe-iterative-loop into .agents/skills/qe-iterative-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qe-iterative-loop", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add proffesor-for-testing/agentic-qe --skill qe-iterative-loop -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install proffesor-for-testing/agentic-qe qe-iterative-loop --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/proffesor-for-testing/agentic-qe.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.kiro/skills/qe-iterative-loop .cursor/skills/qe-iterative-loop && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "qe-iterative-loop" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/.kiro/skills/qe-iterative-loop into .cursor/skills/qe-iterative-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qe-iterative-loop", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/proffesor-for-testing/agentic-qe.git --path .kiro/skills/qe-iterative-loop--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add proffesor-for-testing/agentic-qe --skill qe-iterative-loop -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install proffesor-for-testing/agentic-qe qe-iterative-loop --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/proffesor-for-testing/agentic-qe.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.kiro/skills/qe-iterative-loop .gemini/skills/qe-iterative-loop && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "qe-iterative-loop" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/.kiro/skills/qe-iterative-loop into .gemini/skills/qe-iterative-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qe-iterative-loop", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install proffesor-for-testing/agentic-qe qe-iterative-loopInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add proffesor-for-testing/agentic-qe --skill qe-iterative-loop -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/proffesor-for-testing/agentic-qe.git skills-src && mkdir -p .github/skills && cp -r skills-src/.kiro/skills/qe-iterative-loop .github/skills/qe-iterative-loop && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "qe-iterative-loop" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/.kiro/skills/qe-iterative-loop into .github/skills/qe-iterative-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qe-iterative-loop", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add proffesor-for-testing/agentic-qe --skill qe-iterative-loop -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install proffesor-for-testing/agentic-qe qe-iterative-loop --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/proffesor-for-testing/agentic-qe.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.kiro/skills/qe-iterative-loop .opencode/skills/qe-iterative-loop && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "qe-iterative-loop" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/.kiro/skills/qe-iterative-loop into .opencode/skills/qe-iterative-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qe-iterative-loop", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
qe-iterative-loopQuality Engineering iteration loops for autonomous test improvement, coverage achievement, and quality gate compliance.
Qe Iterative Loop is an agent skill from proffesor-for-testing/agentic-qe. Quality Engineering iteration loops for autonomous test improvement, coverage achievement, and quality gate compliance. Use when tests need to pass, coverage targets must be met, quality gates require compliance, or flaky tests need stabilization. Integrates with AQE v3 fleet agents for coordinated quality iteration.
Its SKILL.md is about 3.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Testing & QA, covering Quality gates and Failing and flaky tests. It works with npm. The repository describes itself as: Agentic QE Fleet is an open-source AI-powered QA/QE platform designed for use with Coding Agents (works best with Claude Code) featuring specialized agents and skills to support… The licence is MIT.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 829d030. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
npmnpxFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
ghuntley.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Qe Iterative Loop loads about 3.2k tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 402 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from proffesor-for-testing/agentic-qe at commit 829d030, republished under its MIT licence (© proffesor-for-testing). 402 words, ~3,202 tokens.
.claude/skills/qe-iterative-loop/SKILL.md (or your agent's skills folder).QE Iterative Loop is a specialized adaptation of the Ralph Wiggum technique for Quality Engineering workflows. It enables autonomous, self-correcting quality cycles where AI agents iterate until quality objectives are achieved - tests pass, coverage targets met, quality gates satisfied, or flaky tests stabilized.
Quality Engineering has objective, measurable success criteria:
This makes QE ideal for iterative loops - we know exactly when we're done.
# Task: Fix all failing tests
/qe-loop "Run npm test and fix all failing tests.
Success: npm test exits with code 0
Output <promise>TESTS_GREEN</promise> when all tests pass."# Task: Achieve 80% coverage
/qe-loop "Increase test coverage to 80%.
Success: Coverage report shows >= 80%
Output <promise>COVERAGE_MET</promise> when target achieved."# Task: Pass all quality gates
/qe-loop "Pass all quality gates for deployment.
Gates:
- Unit tests: pass
- Integration tests: pass
- Coverage: >= 80%
- No critical vulnerabilities
- Performance < 200ms P95
Output <promise>QUALITY_GATES_PASSED</promise> when all pass."Goal: All tests pass
## QE Test-Fix Loop
### Success Criteria
- `npm test` (or test command) returns exit code 0
- No skipped tests (unless explicitly allowed)
- No pending tests
### Iteration Steps
1. Run full test suite
2. Parse output for failures
3. Analyze first failure:
- Identify failing test file
- Understand assertion that failed
- Check if production code or test is wrong
4. Fix the issue
5. Re-run failed test file only (faster feedback)
6. If file passes, run full suite
7. If all pass -> output <promise>TESTS_GREEN</promise>
8. If failures remain -> continue to next failure
### Safety
- Max iterations: 30
- After 10 iterations: report remaining failures
- Stop if same test fails 5 times (possible design issue)Goal: Achieve coverage target
## QE Coverage Loop
### Success Criteria
- Line coverage >= {target}%
- Branch coverage >= {target - 5}% (typically lower target)
- No critical paths uncovered
### Iteration Steps
1. Run tests with coverage: `npm test -- --coverage`
2. Parse coverage report
3. If target met -> output <promise>COVERAGE_MET</promise>
4. Identify uncovered files, sorted by:
- Critical business logic (highest priority)
- Lines uncovered (most impact)
- Complexity (McCabe score)
5. Generate test for highest-impact uncovered code
6. Run tests to verify new test passes
7. Check coverage improvement
8. Continue until target met
### Intelligence Integration
- Store successful test patterns in memory
- Learn from coverage achievements
- Predict best coverage strategies
### Commands
```bash
# Check coverage status (via AQE MCP)
aqe memory get --key "coverage-status" --namespace "coverage"
# Store coverage achievement pattern (via AQE MCP)
aqe memory store \
--key "coverage-pattern-auth" \
--value '{"approach": "mock external deps", "improvement": "12%"}' \
--namespace "coverage-patterns"
### Pattern 3: Quality Gate Compliance Loop
**Goal**: Pass all quality gates
```markdown
## QE Quality Gate Loop
### Gate Definitions
| Gate | Criteria | Priority |
|------|----------|----------|
| unit-tests | All pass | P0 |
| integration-tests | All pass | P0 |
| coverage | >= 80% | P1 |
| lint | No errors | P1 |
| typecheck | No errors | P1 |
| security | No critical/high CVEs | P0 |
| performance | P95 < 200ms | P2 |
### Iteration Strategy
1. Run all gate checks
2. Identify failing gates (sorted by priority)
3. Fix highest-priority failing gate
4. Re-run that gate to verify
5. When gate passes, move to next failing gate
6. When all pass -> output <promise>QUALITY_GATES_PASSED</promise>
### Gate Check Commands
```bash
# Check all gates
npm test && npm run lint && npm run typecheck && npm run coverage && npm audit
# Individual gate checks
npm test # unit-tests
npm run test:integration # integration-tests
npm run coverage # coverage
npm run lint # lint
npx tsc --noEmit # typecheck
npm audit --audit-level=high # security
npm run benchmark # performance# Submit quality gate assessment task
aqe quality --runGate true
# Task orchestration for gate compliance
aqe task submit --task "Pass all quality gates" --strategy adaptive
### Pattern 4: Flaky Test Stabilization Loop
**Goal**: Eliminate test flakiness
```markdown
## QE Flaky Test Loop
### Flakiness Detection
1. Run test suite N times (e.g., 5 runs)
2. Identify tests that pass/fail inconsistently
3. Calculate flakiness score: (inconsistent runs / total runs)
### Iteration Steps
1. Run: `for i in {1..5}; do npm test; done`
2. Aggregate results per test
3. Identify flaky tests (passed some, failed some)
4. For each flaky test:
- Analyze failure modes
- Common causes:
- Timing issues (add retries/waits)
- Shared state (isolate test data)
- Network calls (mock external services)
- Random data (use deterministic seeds)
- Apply appropriate fix
- Re-run 5 times to verify stability
5. When all tests stable -> output <promise>TESTS_STABLE</promise>
### AQE v3 Flaky Detection
```bash
# Use qe-flaky-hunter agent
Task("Hunt flaky tests", "Detect and stabilize flaky tests", "qe-flaky-hunter")
# Or submit flaky detection task
aqe task submit --type "flaky-detection" --priority "p1"
### Pattern 5: Contract Validation Loop
**Goal**: API contracts aligned
```markdown
## QE Contract Loop
### Success Criteria
- Provider implements all consumer contracts
- No breaking changes detected
- Schema validation passes
### Iteration Steps
1. Run contract tests: `npm run test:contracts`
2. Parse contract violations
3. For each violation:
- Determine if provider or consumer needs update
- Update appropriate side
- Re-run contract tests
4. When all contracts valid -> output <promise>CONTRACTS_VALID</promise>
### AQE v3 Integration
```bash
# Validate contracts
aqe test contract --contractPath "./contracts"
# Or use specialized agent
Task("Validate API contracts", "Check consumer-provider alignment", "qe-contract-validator")
---
## AQE v3 Fleet Integration
### Spawning QE Iteration Agents
```bash
# Initialize AQE fleet for QE iteration
aqe fleet init --topology "hierarchical" --maxAgents 8
# Spawn specialized QE iterators using Task tool
Task("Fix failing tests", "Iterate until all tests pass", "qe-tdd-green", {run_in_background: true})
Task("Improve coverage", "Iterate until 80% coverage", "qe-coverage-analyzer", {run_in_background: true})
Task("Fix security issues", "Iterate until security scan passes", "qe-security-scanner", {run_in_background: true})
Task("Stabilize flaky tests", "Iterate until tests stable", "qe-flaky-hunter", {run_in_background: true})# Store iteration patterns for learning (via AQE MCP)
aqe memory store \
--key "qe-iteration-test-fix" \
--value '{"approach": "mock external deps", "success_rate": 0.85}' \
--namespace "qe-patterns"
# Search for relevant QE patterns (via AQE MCP)
aqe memory search \
--pattern "test-fix-*" \
--namespace "qe-patterns"
# Record successful iteration completion (via AQE task tracking)
aqe task status --taskId "test-fix-iteration"| QE Task | Recommended Agent | Iteration Goal |
|---|---|---|
| Test fixes | qe-tdd-green | All tests pass |
| Coverage gaps | qe-coverage-analyzer | Target coverage met |
| Quality gates | qe-quality-gate | All gates pass |
| Flaky tests | qe-flaky-hunter | Tests stable |
| Contract validation | qe-contract-validator | Contracts aligned |
| Security fixes | qe-security-scanner | No vulnerabilities |
| Performance | qe-performance-validator | Benchmarks pass |
# Test-related
<promise>TESTS_GREEN</promise> # All tests pass
<promise>TESTS_STABLE</promise> # Flaky tests fixed
<promise>TDD_COMPLETE</promise> # TDD cycle done
# Coverage-related
<promise>COVERAGE_MET</promise> # Target coverage achieved
<promise>GAPS_FILLED</promise> # Coverage gaps addressed
# Quality gates
<promise>QUALITY_GATES_PASSED</promise> # All gates pass
<promise>DEPLOYMENT_READY</promise> # Ready for deploy
# Contract/API
<promise>CONTRACTS_VALID</promise> # Contracts aligned
<promise>API_COMPLIANT</promise> # API matches spec
# Security
<promise>SECURITY_CLEARED</promise> # No vulnerabilities
<promise>COMPLIANCE_MET</promise> # Compliance requirements met
# Performance
<promise>PERF_TARGET_MET</promise> # Benchmarks satisfied## Complete QE Iteration Task
### Objective
Achieve deployment readiness through iterative quality improvement
### Phase 1: Test Health (Priority)
1. Run `npm test`
2. Fix failing tests iteratively
3. Success: <promise>TESTS_GREEN</promise>
### Phase 2: Coverage (After Phase 1)
1. Run `npm test -- --coverage`
2. Write tests for uncovered critical paths
3. Success: Coverage >= 80% -> <promise>COVERAGE_MET</promise>
### Phase 3: Quality Gates (After Phase 2)
1. Run lint: `npm run lint`
2. Run typecheck: `npx tsc --noEmit`
3. Fix any violations
4. Success: <promise>LINT_PASS</promise> + <promise>TYPES_PASS</promise>
### Phase 4: Security (Parallel with Phase 3)
1. Run `npm audit`
2. Fix critical/high vulnerabilities
3. Success: <promise>SECURITY_CLEARED</promise>
### Phase 5: Integration
1. Run `npm run test:integration`
2. Fix any integration failures
3. Success: <promise>INTEGRATION_PASS</promise>
### Final Gate
When ALL phases complete -> <promise>DEPLOYMENT_READY</promise>
### Safety Limits
- Max iterations per phase: 15
- Total max iterations: 50
- Stuck detection: 5 iterations without progress triggers escalationCause: Likely a design issue, not implementation bug
Solution:
Cause: Remaining uncovered code is complex/conditional
Solution:
Cause: Deep timing or state issues
Solution:
Origin: Adapted from Ralph Wiggum plugin (anthropics/claude-code) Specialized for: Agentic QE v3 Fleet with 60 QE agents Domains: test-generation, test-execution, coverage-analysis, quality-assessment
© proffesor-for-testing, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .kiro/skills/qe-iterative-loop of proffesor-for-testing/agentic-qe.
Open the folder on GitHubat commit 829d030
Qe Iterative Loop next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Qe Iterative Loop this skillproffesor-for-testing/agentic-qe | 494 | — | ~3.2k | Automated safety check: Pass | MIT | |
| Parse Error Logsmaslennikov-ig/claude-code-orchestrator-kit | 260 | — | ~1.5k | Automated safety check: Pass | Custom licence | |
| Quality Scandiegosouzapw/OmniRoute | 74k | — | ~748 | Automated safety check: Pass | MIT | |
| Testingtrieb-work/nextjs-turbo-redis-cache | 151 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Run Unit TestsAzure/cosmos-explorer | 131 | — | ~638 | Automated safety check: Pass | MIT | |
| ClickUp CLI Testingkrodak/clickup-cli | 121 | — | ~1.4k | Automated safety check: Notes | MIT |
maslennikov-ig/claude-code-orchestrator-kit
Parse build errors, test failures, type-check output, and validation logs into structured data.
diegosouzapw/OmniRoute
Runs a scoped, read-only quality scan on a repository candidate and reports exact evidence, failures and frozen debt, without treating a static scan as release acceptance.
trieb-work/nextjs-turbo-redis-cache
Run tests and add Next.js version coverage for the cache handler.
Azure/cosmos-explorer
Run unit tests for the Cosmos Explorer project. An agent skill from Azure/cosmos-explorer.
krodak/clickup-cli
Explains how to run and extend the clickup-cli tests: unit tests with a mocked client, e2e tests against a real ClickUp workspace, and the fixture data they rely on.
HsienW/chat-gun
Provides domain-specific best practices for Node.js development with TypeScript, covering type stripping, async patterns, error handling, streams, modules, testing, performance, caching, logging…
proffesor-for-testing/agentic-qe
Consumer-driven contract testing for microservices using Pact, schema validation, API versioning, and backward compatibility testing.
proffesor-for-testing/agentic-qe
Test quality validation through mutation testing, assessing test suite effectiveness by introducing code mutations and measuring kill rate.
proffesor-for-testing/agentic-qe
Profiles application performance under load using k6, Artillery, or JMeter to measure latency, throughput, and error rates.
proffesor-for-testing/agentic-qe
Conduct context-driven code reviews focusing on quality, testability, and maintainability.
proffesor-for-testing/agentic-qe
Scans for security vulnerabilities including XSS, SQL injection, CSRF, and auth flaws using OWASP Top 10 methodology.
proffesor-for-testing/agentic-qe
Database schema validation, data integrity testing, migration testing, transaction isolation, and query performance.
Works with
Categories
Quality Engineering iteration loops for autonomous test improvement, coverage achievement, and quality gate compliance. Qe Iterative Loop is an agent skill from proffesor-for-testing/agentic-qe. Quality Engineering iteration loops for autonomous test improvement, coverage achievement, and quality gate compliance.
Qe Iterative Loop fits situations like: tests need to pass; coverage targets must be met; quality gates require compliance; flaky tests need stabilization.
Run `npx skills add proffesor-for-testing/agentic-qe --skill qe-iterative-loop -a claude-code`. Or copy the skill folder (.kiro/skills/qe-iterative-loop in proffesor-for-testing/agentic-qe) into .claude/skills/qe-iterative-loop in your project. Claude Code loads it when a task matches its description.
Run `npx skills add proffesor-for-testing/agentic-qe --skill qe-iterative-loop -a codex`. Or copy the skill folder (.kiro/skills/qe-iterative-loop in proffesor-for-testing/agentic-qe) into .agents/skills/qe-iterative-loop in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add proffesor-for-testing/agentic-qe --skill qe-iterative-loop -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/qe-iterative-loop, .gemini/skills/qe-iterative-loop, .github/skills/qe-iterative-loop and .opencode/skills/qe-iterative-loop in your project.
Going by SKILL.md and its folder, Qe Iterative Loop needs the command-line tools its instructions call (npm and npx). Our summary lists: Node.js.
SKILL.md names 1 domain. As links in the text: ghuntley.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Qe Iterative Loop is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.2k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Qe Iterative Loop: Parse Error Logs (maslennikov-ig/claude-code-orchestrator-kit, 260 stars), Quality Scan (diegosouzapw/OmniRoute, 74k stars), Testing (trieb-work/nextjs-turbo-redis-cache, 151 stars) and Run Unit Tests (Azure/cosmos-explorer, 131 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
proffesor-for-testing (a GitHub user) maintains it in proffesor-for-testing/agentic-qe, which has 494 GitHub stars. The repository holds 95 skills in this directory. The repository was last updated on October 4, 2026.
Source: proffesor-for-testing/agentic-qe on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.