Agent skill · Data & Analytics

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.

BaggaT236github.com/BaggaT236GitHub ↗
claude-codeships scriptsMIT
Install
npx skills add BaggaT236/AI-Trading-Skills --skill skill-integration-tester --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 5
SKILL.md size: 4 KB
Bundled scripts: yes
Path: skills/skill-integration-tester/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 118
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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: ```bash python3 skills/skill-integration-tester/scripts/validate_workflows.py \ --output-dir reports/ ``` This parses all `**Workflow Name:**` blocks from the Multi-Skill Workflows section, reso

What's inside
Steps it walks through
  1. Overview
  2. When to Use
  3. Prerequisites
  4. Workflow
  5. Step 1: Run Integration Validation
  6. Step 2: Validate a Specific Workflow
  7. Step 3: Dry-Run with Synthetic Fixtures
  8. Step 4: Review Results
  9. Step 5: Fix Broken Handoffs
  10. Output Format
  11. JSON Report
  12. Markdown Report
  13. Resources
  14. Key Principles
Ships with 4 files
  • references/workflow_contracts.md
  • scripts/tests/conftest.py
  • scripts/tests/test_test_workflows.py
  • scripts/validate_workflows.py
Commands it runs
python3 skills/skill-integration-tester/scripts/validate_workflows.py \
More from AI-Trading-Skills
All skills →
About this skill
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 it?

Run `npx skills add BaggaT236/AI-Trading-Skills --skill skill-integration-tester --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From BaggaT236/AI-Trading-Skills, a repository with 118 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going