
skill-integration-tester
Validate multi-skill workflows defined in CLAUDE.md by checking skill existence, inter-skill data contracts (JSON schema compatibility), file naming conventions, and handoff integrity. Use when adding new workflows, modifying skill outputs, or verifying pipeline health before release.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/tradermonty/claude-trading-skills --skill skill-integration-tester- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads skill-integration-tester automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Skill Integration Tester
Overview
Validate multi-skill workflows defined in CLAUDE.md (Daily Market Monitoring, Weekly Strategy Review, Earnings Momentum Trading, etc.) by executing each step in sequence. Check inter-skill data contracts for JSON schema compatibility between output of step N and input of step N+1, verify file naming conventions, and report broken handoffs. Supports dry-run mode with synthetic fixtures.
When to Use
- After adding or modifying a multi-skill workflow in CLAUDE.md
- After changing a skill's output format (JSON schema, file naming)
- Before releasing new skills to verify pipeline compatibility
- When debugging broken handoffs between consecutive workflow steps
- As a CI pre-check for pull requests touching skill scripts
Prerequisites
- Python 3.9+
- No API keys required
- No third-party Python packages required (uses only standard library)
Workflow
Step 1: Run Integration Validation
Execute the validation script against the project's CLAUDE.md:
python3 skills/skill-integration-tester/scripts/validate_workflows.py \
--output-dir reports/
This parses all **Workflow Name:** blocks from the Multi-Skill Workflows
section, resolves each step's display name to a skill directory, and validates
existence, contracts, and naming.
Step 2: Validate a Specific Workflow
Target a single workflow by name substring:
python3 skills/skill-integration-tester/scripts/validate_workflows.py \
--workflow "Earnings Momentum" \
--output-dir reports/
Step 3: Dry-Run with Synthetic Fixtures
Create synthetic fixture JSON files for each skill's expected output and validate contract compatibility without real data:
python3 skills/skill-integration-tester/scripts/validate_workflows.py \
--dry-run \
--output-dir reports/
Fixture files are written to reports/fixtures/ with _fixture flag set.
Step 4: Review Results
Open the generated Markdown report for a human-readable summary, or parse the JSON report for programmatic consumption. Each workflow shows:
- Step-by-step skill existence checks
- Handoff contract validation (PASS / FAIL / N/A)
- File naming convention violations
- Overall workflow status (valid / broken / warning)
Step 5: Fix Broken Handoffs
For each FAIL handoff, verify that:
- The producer skill's output contains all required fields
- The consumer skill's input parameter accepts the producer's output format
- File naming patterns are consistent between producer output and consumer input
Output Format
JSON Report
{
"schema_version": "1.0",
"generated_at": "2026-03-01T12:00:00+00:00",
"dry_run": false,
"summary": {
"total_workflows": 8,
"valid": 6,
"broken": 1,
"warnings": 1
},
"workflows": [
{
"workflow": "Daily Market Monitoring",
"step_count": 4,
"status": "valid",
"steps": [...],
"handoffs": [...],
"naming_violations": []
}
]
}
Markdown Report
Structured report with per-workflow sections showing step validation, handoff status, and naming violations.
Reports are saved to reports/ with filenames
integration_test_YYYY-MM-DD_HHMMSS.{json,md}.
Resources
scripts/validate_workflows.py-- Main validation scriptreferences/workflow_contracts.md-- Contract definitions and handoff patterns
Key Principles
- No API keys required -- all validation is local and offline
- Non-destructive -- reads SKILL.md and CLAUDE.md only, never modifies skills
- Deterministic -- same inputs always produce same validation results
FAQ
What does the skill-integration-tester skill do?
Validate multi-skill workflows defined in CLAUDE.md by checking skill existence, inter-skill data contracts (JSON schema compatibility), file naming conventions, and handoff integrity. Use when adding new workflows, modifying skill outputs, or verifying pipeline health before release.
How do I install skill-integration-tester?
Run npx skills add https://github.com/tradermonty/claude-trading-skills --skill skill-integration-tester in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/skill-integration-tester/ (personal) or .claude/skills/skill-integration-tester/ (project).
Which AI agents can use skill-integration-tester?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is skill-integration-tester safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains skill-integration-tester?
It is published by tradermonty in tradermonty/claude-trading-skills. It has 3,159 recorded installs.
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