Agent skill

Workflow Test Fix Cycle

by catlog22 in catlog22/Claude-Code-Workflow

End-to-end test-fix workflow generate test sessions with progressive layers (L0-L3), then execute iterative fix cycles until pass rate = 95%.

MITAuto-check: notesTesting & QA

Install Workflow Test Fix Cycle

skills CLI
$ npx skills add catlog22/Claude-Code-Workflow --skill workflow-test-fix-cycle -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install catlog22/Claude-Code-Workflow workflow-test-fix-cycle --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/catlog22/Claude-Code-Workflow.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/workflow-test-fix-cycle .claude/skills/workflow-test-fix-cycle && rm -rf skills-src

Use ~/.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/

Facts

Skill name
workflow-test-fix-cycle
GitHub stars
2.1k
Token cost
~4.6k tokens
SKILL.md length
1,075 words
Files
3
Skills in repo
82
Repo updated
First seen
Licence
MIT

At a glance

End-to-end test-fix workflow generate test sessions with progressive layers (L0-L3), then execute iterative fix cycles until pass rate = 95%.

  • Works in 2 steps: Test-Fix Generation → Test-Cycle Execution
  • Workflow:test-fix-cycle
  • SKILL.md covers Architecture Overview, Key Design Principles, Auto Mode and Subagent API Reference, plus 10 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Workflow Test Fix Cycle is an agent skill from catlog22/Claude-Code-Workflow. End-to-end test-fix workflow generate test sessions with progressive layers (L0-L3), then execute iterative fix cycles until pass rate = 95%. Combines test-fix-gen and test-cycle-execute into a unified pipeline. Triggers on "workflow:test-fix-cycle".

Its SKILL.md is about 4.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `phases/01-test-fix-gen.md` and `phases/02-test-cycle-execute.md`).

It sits in Testing & QA, covering Test generation. The repository describes itself as: JSON-driven multi-agent cadence-team development framework with intelligent CLI orchestration (Gemini/Qwen/Codex), context-first architecture, and automated workflow execution. The licence is MIT.

When your agent uses it

  • Workflow:test-fix-cycle
  • Tasks that involve Test generation

Example prompts

  • “workflow:test-fix-cycle”
  • “/workflow-test-fix-cycle”

Requirements

  • Pre-approved tools (allowed-tools): spawn_agent, wait_agent, send_message, followup_task, close_agent, request_user_input, Read, Write, Edit, Bash, Glob, Grep

Workflow steps

2 steps, taken from the step headings in SKILL.md.

  1. Test-Fix Generation
  2. Test-Cycle Execution

What it can do on your machine

Read from SKILL.md and the folder at commit 07491b0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • spawn_agent
    • wait_agent
    • send_message
    • followup_task
    • close_agent
    • request_user_input
    • Read
    • Write
    • Edit
    • Bash

    …and 2 more on the same allowed-tools line.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are javascript).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Workflow Test Fix Cycle loads about 4.6k tokens when it runs. Until then it costs about 69 tokens; SKILL.md has 1,075 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~69
When it runs · the whole SKILL.md, loaded when a task matches
~4.6k

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.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: spawn_agent, wait_agent, send_message, followup_task, close_agent, request_user_input, Read, Write, 

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.

SKILL.md

The full file from catlog22/Claude-Code-Workflow at commit 07491b0, republished under its MIT licence (© catlog22). 1,075 words, ~4,599 tokens.

Download SKILL.mdSave it as .claude/skills/workflow-test-fix-cycle/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
workflow-test-fix-cycle
description
End-to-end test-fix workflow generate test sessions with progressive layers (L0-L3), then execute iterative fix cycles until pass rate >= 95%. Combines test-fix-gen and test-cycle-execute into a unified pipeline. Triggers on "workflow:test-fix-cycle".
allowed-tools
spawn_agent, wait_agent, send_message, followup_task, close_agent, request_user_input, Read, Write, Edit, Bash, Glob, Grep

Workflow Test-Fix Cycle

End-to-end test-fix workflow pipeline: generate test sessions with progressive layers (L0-L3), AI code validation, and task generation (Phase 1), then execute iterative fix cycles with adaptive strategy engine until pass rate >= 95% (Phase 2).

Architecture Overview

┌────────────────────────────────────────────────────────────────────────────┐
│  Workflow Test-Fix Cycle Orchestrator (SKILL.md)                            │
│  → Full pipeline: Test generation + Iterative execution                     │
│  → Phase dispatch: Read phase docs, execute, pass context                   │
└───────────────┬────────────────────────────────────────────────────────────┘
                │
   ┌────────────┴────────────────────────┐
   ↓                                     ↓
┌─────────────────────────┐   ┌─────────────────────────────┐
│ Phase 1: Test-Fix Gen   │   │ Phase 2: Test-Cycle Execute  │
│ phases/01-test-fix-gen  │   │ phases/02-test-cycle-execute │
│ 5 sub-phases:           │   │ 3 stages:                    │
│ ① Create Session        │   │ ① Discovery                  │
│ ② Gather Context        │   │ ② Main Loop (iterate)        │
│ ③ Test Analysis (Gemini)│   │ ③ Completion                 │
│ ④ Generate Tasks        │   │                              │
│ ⑤ Summary               │   │ Agents (via spawn_agent):    │
│                         │   │ @cli-planning-agent           │
│ Agents (via spawn_agent)│   │ @test-fix-agent               │
│ @test-context-search    │   │                              │
│ @context-search         │   │ Strategy: conservative →      │
│ @cli-execution          │   │ aggressive → surgical          │
│ @action-planning        │   │                              │
└────────┬────────────────┘   └────────────┬──────────────────┘
         ↓                                 ↓
   IMPL-001..002.json              Pass Rate >= 95%
   TEST_ANALYSIS_RESULTS.md        Auto-complete session

Task Pipeline:
┌──────────────┐    ┌─────────────────┐    ┌─────────────────┐    ┌──────────────┐
│  IMPL-001    │───→│  IMPL-001.3     │───→│  IMPL-001.5     │───→│  IMPL-002    │
│  Test Gen    │    │  Code Validate  │    │  Quality Gate   │    │  Test & Fix  │
│  L1-L3       │    │  L0 + AI Issues │    │  Coverage 80%+  │    │  Max 10 iter │
│@code-developer│   │ @test-fix-agent │    │ @test-fix-agent │    │@test-fix-agent│
└──────────────┘    └─────────────────┘    └─────────────────┘    └──────────────┘
                                                                        │
                                                              Fix Loop: │
                                                    ┌──────────────────┘
                                                    ↓
                                              ┌──────────┐
                                              │ @cli-plan│───→ IMPL-fix-N.json
                                              │  agent   │
                                              ├──────────┤
                                              │@test-fix │───→ Apply & re-test
                                              │  agent   │
                                              └──────────┘

Key Design Principles

  1. Two-Phase Pipeline: Generation (Phase 1) creates session + tasks, Execution (Phase 2) runs iterative fix cycles
  2. Pure Orchestrator: Dispatch to phase docs, parse outputs, pass context between phases
  3. Phase 1 Auto-Continue: Sub-phases within Phase 1 run autonomously
  4. Subagent Lifecycle: Explicit lifecycle management with spawn_agent → wait_agent → close_agent
  5. Progressive Test Layers: L0 (Static) → L1 (Unit) → L2 (Integration) → L3 (E2E)
  6. AI Code Issue Detection: Validates against common AI-generated code problems
  7. Intelligent Strategy Engine: conservative → aggressive → surgical based on iteration context
  8. CLI Fallback Chain: Gemini → Qwen → Codex for analysis resilience
  9. Progressive Testing: Affected tests during iterations, full suite for final validation
  10. Role Path Loading: Subagent roles loaded via path reference in MANDATORY FIRST STEPS

Auto Mode

Phase 1 generates test session and tasks. Phase 2 executes iterative fix cycles until pass rate >= 95% or max iterations reached. Between Phase 1 and Phase 2, you MUST stop and wait for user confirmation before proceeding to execution. Phase 2 runs autonomously once approved.

Subagent API Reference

spawn_agent

Create a new subagent with task assignment.

javascript
const agentId = spawn_agent({
  agent_type: "{agent_type}",
  message: `
## TASK ASSIGNMENT

### MANDATORY FIRST STEPS (Agent Execute)
1. Run: `ccw spec load --category "planning execution"`

## TASK CONTEXT
${taskContext}

## DELIVERABLES
${deliverables}
`
})
wait_agent

Get results from subagent (only way to retrieve results).

javascript
const result = wait_agent({
  timeout_ms: 1800000  // 30 minutes
})

if (result.timed_out) {
  followup_task({ target: agentId, message: "STATUS_CHECK: Report current progress, findings so far, and estimated remaining work." })
  const status = wait_agent({ timeout_ms: 180000 })  // 3 min
  if (status.timed_out) {
    followup_task({ target: agentId, message: "FINALIZE: Output all current findings immediately. Time limit reached.", interrupt: true })
    const forced = wait_agent({ timeout_ms: 180000 })  // 3 min
    if (forced.timed_out) {
      close_agent({ target: agentId })
    }
  }
}
followup_task

Assign new work to active subagent (for clarification or follow-up).

javascript
followup_task({
  target: agentId,
  message: `
## CLARIFICATION ANSWERS
${answers}

## NEXT STEP
Continue with plan generation.
`
})
close_agent

Clean up subagent resources (irreversible).

javascript
close_agent({ target: agentId })

Usage

workflow-test-fix-cycle <input> [options]

# Input (Phase 1 - Test Generation)
source-session-id    WFS-* session ID (Session Mode - test validation for completed implementation)
feature description  Text description of what to test (Prompt Mode)
/path/to/file.md     Path to requirements file (Prompt Mode)

# Options (Phase 2 - Cycle Execution)
--max-iterations=N   Custom iteration limit (default: 10)

# Examples
workflow-test-fix-cycle WFS-user-auth-v2                                              # Session Mode
workflow-test-fix-cycle "Test the user authentication API endpoints in src/auth/api.ts" # Prompt Mode - text
workflow-test-fix-cycle ./docs/api-requirements.md                                     # Prompt Mode - file
workflow-test-fix-cycle "Test user registration" --max-iterations=15                    # With custom iterations

# Resume (Phase 2 only - session already created)
workflow-test-fix-cycle --resume-session="WFS-test-user-auth"                          # Resume interrupted session

Quality Gate: Test pass rate >= 95% (criticality-aware) or 100% Max Iterations: 10 (default, adjustable) CLI Tools: Gemini → Qwen → Codex (fallback chain)

Test Strategy Overview

Progressive Test Layers (L0-L3):

LayerNameFocus
L0Static AnalysisCompilation, imports, types, AI code issues
L1Unit TestsFunction/class behavior (happy/negative/edge cases)
L2Integration TestsComponent interactions, API contracts, failure modes
L3E2E TestsUser journeys, critical paths (optional)

Key Features:

  • AI Code Issue Detection - Validates against common AI-generated code problems (hallucinated imports, placeholder code, mock leakage, etc.)
  • Project Type Detection - Applies appropriate test templates (React, Node API, CLI, Library, etc.)
  • Quality Gates - IMPL-001.3 (code validation) and IMPL-001.5 (test quality) ensure high standards

Detailed specifications: See the test-task-generate workflow tool for complete L0-L3 requirements and quality thresholds.

Execution Flow

Input → Detect Mode (session | prompt | resume)
  │
  ├─ resume mode → Skip to Phase 2
  │
  └─ session/prompt mode → Phase 1
       │
Phase 1: Test-Fix Generation (phases/01-test-fix-gen.md)
  ├─ Sub-phase 1.1: Create Test Session → testSessionId
  ├─ Sub-phase 1.2: Gather Test Context (spawn_agent) → contextPath
  ├─ Sub-phase 1.3: Test Generation Analysis (spawn_agent → Gemini) → TEST_ANALYSIS_RESULTS.md
  ├─ Sub-phase 1.4: Generate Test Tasks (spawn_agent) → IMPL-*.json, IMPL_PLAN.md, TODO_LIST.md
  └─ Sub-phase 1.5: Phase 1 Summary
       │
  ⛔ MANDATORY CONFIRMATION GATE
  │   Present plan summary → request_user_input → User approves/cancels
  │   NEVER auto-proceed to Phase 2
       │
Phase 2: Test-Cycle Execution (phases/02-test-cycle-execute.md)
  ├─ Discovery: Load session, tasks, iteration state
  ├─ Main Loop (for each task):
  │   ├─ Execute → Test → Calculate pass_rate
  │   ├─ 100% → SUCCESS: Next task
  │   ├─ 95-99% + low criticality → PARTIAL SUCCESS: Approve
  │   └─ <95% → Fix Loop:
  │       ├─ Select strategy: conservative/aggressive/surgical
  │       ├─ spawn_agent(@cli-planning-agent) → IMPL-fix-N.json
  │       ├─ spawn_agent(@test-fix-agent) → Apply fix & re-test
  │       └─ Re-test → Back to decision
  └─ Completion: Final validation → Summary → Sync session state → Auto-complete session

Core Rules

  1. Start Immediately: First action is functions.update_plan initialization
  2. No Preliminary Analysis: Do not read files before Phase 1
  3. Parse Every Output: Extract data from each phase/sub-phase for the next
  4. Within-Phase Auto-Continue: Sub-phases within a phase run automatically; Phase 2 iterations run automatically once started
  5. Phase Loading: Read phase doc on-demand (phases/01-*.md, phases/02-*.md)
  6. Task Attachment Model: Sub-tasks ATTACH → execute → COLLAPSE
  7. MANDATORY CONFIRMATION GATE: After Phase 1 completes, you MUST stop and present the generated plan to the user. Wait for explicit user approval via request_user_input before starting Phase 2. NEVER auto-proceed from Phase 1 to Phase 2
  8. Phase 2 Continuous: Once user approves, Phase 2 runs continuously until pass rate >= 95% or max iterations reached
  9. Explicit Lifecycle: Always close_agent after wait_agent completes to free resources

Phase Execution

Phase 1: Test-Fix Generation

Read: phases/01-test-fix-gen.md

5 sub-phases that create a test session and generate task JSONs:

  1. Create Test Session → testSessionId
  2. Gather Test Context (spawn_agent → wait_agent → close_agent) → contextPath
  3. Test Generation Analysis (spawn_agent → wait_agent → close_agent) → TEST_ANALYSIS_RESULTS.md
  4. Generate Test Tasks (spawn_agent → wait_agent → close_agent) → IMPL-001.json, IMPL-001.3.json, IMPL-001.5.json, IMPL-002.json, IMPL_PLAN.md, TODO_LIST.md
  5. Phase 1 Summary → ⛔ MANDATORY: Present plan and wait for user confirmation before Phase 2

Agents Used (via spawn_agent):

  • test_context_search_agent (agent_type: test_context_search_agent) - Context gathering (Session Mode)
  • context_search_agent (agent_type: context_search_agent) - Context gathering (Prompt Mode)
  • cli_execution_agent (agent_type: cli_execution_agent) - Test analysis with Gemini
  • action_planning_agent (agent_type: action_planning_agent) - Task JSON generation
Phase 2: Test-Cycle Execution

Read: phases/02-test-cycle-execute.md

3-stage iterative execution with adaptive strategy:

  1. Discovery - Load session, tasks, iteration state
  2. Main Loop - Execute tasks → Test → Analyze failures → Fix → Re-test
  3. Completion - Final validation → Summary → Auto-complete session

Agents Used (via spawn_agent):

  • cli_planning_agent (agent_type: cli_planning_agent) - Failure analysis, root cause extraction, fix task generation
  • test_fix_agent (agent_type: test_fix_agent) - Test execution, code fixes, criticality assignment

Strategy Engine: conservative (iteration 1-2) → aggressive (pass >80%) → surgical (regression)

Show full SKILL.md (401 more words)Show less

Output Artifacts

Directory Structure
{projectRoot}/.workflow/active/WFS-test-[session]/
├── workflow-session.json              # Session metadata
├── IMPL_PLAN.md                       # Test generation and execution strategy
├── TODO_LIST.md                       # Task checklist
├── .task/
│   ├── IMPL-001.json                  # Test understanding & generation
│   ├── IMPL-001.3-validation.json     # Code validation gate
│   ├── IMPL-001.5-review.json         # Test quality gate
│   ├── IMPL-002.json                  # Test execution & fix cycle
│   └── IMPL-fix-{N}.json             # Generated fix tasks (Phase 2)
├── .process/
│   ├── [test-]context-package.json    # Context and coverage analysis
│   ├── TEST_ANALYSIS_RESULTS.md       # Test requirements and strategy (L0-L3)
│   ├── iteration-state.json           # Current iteration + strategy + stuck tests
│   ├── test-results.json              # Latest results (pass_rate, criticality)
│   ├── test-output.log                # Full test output
│   ├── fix-history.json               # All fix attempts
│   ├── iteration-{N}-analysis.md      # CLI analysis report
│   └── iteration-{N}-cli-output.txt
└── .summaries/iteration-summaries/

Progress Tracking

Initialization (MANDATORY)
javascript
// Initialize progress tracking after input parsing
functions.update_plan([
  { id: "phase-1", title: "Phase 1: Test-Fix Generation", status: "in_progress" },
  { id: "phase-2", title: "Phase 2: Test-Cycle Execution", status: "pending" }
])
Phase Transitions
javascript
// After Phase 1 completes (before mandatory confirmation gate)
functions.update_plan([
  { id: "phase-1", status: "completed" },
  { id: "phase-2", status: "in_progress" }
])

// After Phase 2 completes (pass rate >= 95% or max iterations)
functions.update_plan([{ id: "phase-2", status: "completed" }])
Resume Mode
javascript
// When --resume-session skips Phase 1
functions.update_plan([
  { id: "phase-1", title: "Phase 1: Test-Fix Generation", status: "completed" },
  { id: "phase-2", title: "Phase 2: Test-Cycle Execution", status: "in_progress" }
])

Error Handling

PhaseScenarioAction
1.1Source session not found (session mode)Return error with session ID
1.1No completed IMPL tasks (session mode)Return error, source incomplete
1.2Context gathering failedReturn error, check source artifacts
1.2Agent timeoutRetry with extended timeout, close_agent, then return error
1.3Gemini analysis failedReturn error, check context package
1.4Task generation failedRetry once, then return error
2Test execution errorLog, retry with error context
2CLI analysis failureFallback: Gemini → Qwen → Codex → manual
2Agent execution errorSave state, close_agent, retry with simplified context
2Max iterations reachedGenerate failure report, mark blocked
2Regression detectedRollback last fix, switch to surgical strategy
2Stuck tests detectedContinue with alternative strategy, document in failure report

Lifecycle Error Handling:

javascript
try {
  const agentId = spawn_agent({ message: "..." });
  const result = wait_agent({ timeout_ms: 1800000 });  // 30 minutes
  // ... process result ...
  close_agent({ target: agentId });
} catch (error) {
  if (agentId) close_agent({ target: agentId });
  throw error;
}

Coordinator Checklist

Phase 1 (Generation):

  • Detect input type (session ID / description / file path / resume)
  • Initialize functions.update_plan with 2 top-level phases
  • Read phases/01-test-fix-gen.md for detailed sub-phase execution
  • Execute 5 sub-phases with spawn_agent → wait_agent → close_agent lifecycle
  • Verify all Phase 1 outputs (4+ task JSONs, IMPL_PLAN.md, TODO_LIST.md)
  • Ensure all agents are closed after each sub-phase completes
  • ⛔ MANDATORY: Present plan summary and request_user_input for confirmation
    • Show: session ID, task count, test layers, quality gates
    • Options: "Proceed to Execution" / "Review Plan" / "Cancel"
    • If "Cancel" → return, do NOT start Phase 2
    • If "Review Plan" → display IMPL_PLAN.md, then return
    • Only proceed to Phase 2 if user selects "Proceed to Execution"

Phase 2 (Execution):

  • Read phases/02-test-cycle-execute.md for detailed execution logic
  • Load session state and task queue
  • Execute iterative test-fix cycles with spawn_agent → wait_agent → close_agent
  • Track iterations via functions.update_plan
  • Auto-complete session on success (pass rate >= 95%)
  • Ensure all agents are closed after each iteration

Resume Mode:

  • If --resume-session provided, skip Phase 1
  • Load existing session directly into Phase 2

Prerequisite Skills:

  • workflow-plan or workflow-execute - Complete implementation (Session Mode)
  • None for Prompt Mode

Phase 1 Agents (used by phases/01-test-fix-gen.md via spawn_agent):

  • test_context_search_agent (agent_type: test_context_search_agent) - Test coverage analysis (Session Mode)
  • context_search_agent (agent_type: context_search_agent) - Codebase analysis (Prompt Mode)
  • cli_execution_agent (agent_type: cli_execution_agent) - Test requirements with Gemini
  • action_planning_agent (agent_type: action_planning_agent) - Task JSON generation

Phase 2 Agents (used by phases/02-test-cycle-execute.md via spawn_agent):

  • cli_planning_agent (agent_type: cli_planning_agent) - CLI analysis, root cause extraction, task generation
  • test_fix_agent (agent_type: test_fix_agent) - Test execution, code fixes, criticality assignment

Follow-up:

  • Session sync: $session-sync -y "Test-fix cycle complete: {pass_rate}% pass rate"
  • Session auto-complete on success
  • Issue creation for follow-up work (post-completion expansion)

© catlog22, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files in .codex/skills/workflow-test-fix-cycle of catlog22/Claude-Code-Workflow.

  • SKILL.md
  • phases/01-test-fix-gen.md
  • phases/02-test-cycle-execute.md

Open the folder on GitHubat commit 07491b0

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    2.1k GitHub starsUsed in 1 repo~4.7k tokens
    Auto-check: notes
  • Ccw Help

    catlog22/Claude-Code-Workflow

    CCW command help system. An agent skill from catlog22/Claude-Code-Workflow.

    2.1k GitHub stars~2.5k tokensUpdated 3 mo ago
    Auto-check passed
  • Team Ultra Analyze

    catlog22/Claude-Code-Workflow

    Deep collaborative analysis team skill. An agent skill from catlog22/Claude-Code-Workflow.

    2.1k GitHub starsUsed in 1 repo~2.4k tokens
    Auto-check: notes
  • Brainstorm

    catlog22/Claude-Code-Workflow

    Unified brainstorming skill with dual-mode operation — auto mode (framework generation, parallel multi-role analysis, cross-role synthesis) and single role analysis.

    2.1k GitHub stars~4.8k tokensUpdated 3 mo ago
    Auto-check: notes
  • Ccw Chain

    catlog22/Claude-Code-Workflow

    Chain-based CCW workflow orchestrator. An agent skill from catlog22/Claude-Code-Workflow.

    2.1k GitHub stars~1.1k tokensUpdated 3 mo ago
    Auto-check: notes
  • Delegation Check

    catlog22/Claude-Code-Workflow

    Check workflow delegation prompts against agent role definitions for content separation violations.

    2.1k GitHub stars~2.8k tokensUpdated 3 mo ago
    Auto-check: notes

Categories

Questions about Workflow Test Fix Cycle

What does Workflow Test Fix Cycle do?

End-to-end test-fix workflow generate test sessions with progressive layers (L0-L3), then execute iterative fix cycles until pass rate = 95%. Workflow Test Fix Cycle is an agent skill from catlog22/Claude-Code-Workflow. End-to-end test-fix workflow generate test sessions with progressive layers (L0-L3), then execute iterative fix cycles until pass rate = 95%.

When should I use Workflow Test Fix Cycle?

Workflow Test Fix Cycle fits situations like: workflow:test-fix-cycle; tasks that involve Test generation.

How do I install Workflow Test Fix Cycle in Claude Code?

Run `npx skills add catlog22/Claude-Code-Workflow --skill workflow-test-fix-cycle -a claude-code`. Or copy the skill folder (.codex/skills/workflow-test-fix-cycle in catlog22/Claude-Code-Workflow) into .claude/skills/workflow-test-fix-cycle in your project. Claude Code loads it when a task matches its description.

How do I install Workflow Test Fix Cycle in Codex?

Run `npx skills add catlog22/Claude-Code-Workflow --skill workflow-test-fix-cycle -a codex`. Or copy the skill folder (.codex/skills/workflow-test-fix-cycle in catlog22/Claude-Code-Workflow) into .agents/skills/workflow-test-fix-cycle in your project. Codex loads it when a task matches its description.

Can I use Workflow Test Fix Cycle in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add catlog22/Claude-Code-Workflow --skill workflow-test-fix-cycle -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/workflow-test-fix-cycle, .gemini/skills/workflow-test-fix-cycle, .github/skills/workflow-test-fix-cycle and .opencode/skills/workflow-test-fix-cycle in your project.

What does Workflow Test Fix Cycle need to run?

SKILL.md names no scripts, command-line tools or credentials: Workflow Test Fix Cycle is instructions for the agent only. Its frontmatter pre-approves these tools: spawn_agent, wait_agent, send_message, followup_task, close_agent, request_user_input, Read, Write, Edit, Bash, Glob, Grep.

Does Workflow Test Fix Cycle access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Workflow Test Fix Cycle safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Workflow Test Fix Cycle use?

Workflow Test Fix Cycle is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Workflow Test Fix Cycle use?

About 4.6k tokens (SKILL.md is roughly 18k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Workflow Test Fix Cycle?

Skills that share tags, products or a category with Workflow Test Fix Cycle: Emc (aklofas/kicad-happy, 1.4k stars), Swig Test (swig/swig, 6.3k stars), Generate Test Cases (342164796/generate-test-cases, 119 stars) and Verify Cc Safety Net (kenryu42/cc-safety-net, 1.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Workflow Test Fix Cycle?

catlog22 (a GitHub user) maintains it in catlog22/Claude-Code-Workflow, which has 2,130 GitHub stars. The repository holds 82 skills in this directory. The repository was last updated on June 18, 2026.

Source: catlog22/Claude-Code-Workflow on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.