agentic/code/addons/agent-loop/skills/auto-test-execution/SKILL.md
Automatically execute tests when code-generating agents modify source files, enforcing the execute-before-return pattern
npx skillsauth add jmagly/aiwg auto-test-executionInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Automatically execute tests when code-generating agents write to source files, enforcing the execute-before-return pattern.
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This skill enforces the MetaGPT executable feedback pattern: code-generating agents must execute tests before returning results to the user. It activates automatically when agents modify source code files.
When triggered, this skill:
Detect modified files:
Find related tests:
src/foo/bar.ts -> test/unit/foo/bar.test.tsExecute tests:
Handle results:
Update debug memory:
.aiwg/ralph/debug-memory/sessions/activation:
always_active_for:
- software-implementer
- debugger
- test-engineer
triggered_by:
- file_write:
patterns:
- "src/**/*.ts"
- "src/**/*.js"
- "src/**/*.py"
- "**/*.go"
- "**/*.rs"
skip_when:
- test_files_only: true
- documentation_only: true
- configuration_only: true
This skill uses:
project-awareness: Detect test framework and configuration.aiwg/ralph/debug-memory/ for pattern learningdata-ai
Report which research-corpus radar sidecars are overdue for refresh. Computes staleness (days since last refresh vs the cadence window) for every radar, sorted most-overdue-first. Runs via `aiwg corpus radar-status`.
data-ai
Aggregate research-corpus radar sidecars into a corpus or per-cluster freshness report — totals, overdue count, per-cluster / per-GRADE / per-trajectory breakdowns, an overdue table, and per-radar rationale snippets. Runs via `aiwg corpus radar-report`.
testing
Scaffold radar/freshness sidecars for research-corpus REFs. Pulls title/authors from the citation sidecar and GRADE from the analysis doc, defaults the refresh cadence from GRADE and the cluster from a corpus-local map, and stamps documentation/radar/REF-XXX-radar.md. Runs via `aiwg corpus radar-init`.
data-ai
Compute an entity's publication trajectory — per-year paper counts, topic drift, hot-streak detection (≥3 consecutive A-grade years), and career phase. Runs via `aiwg corpus profile-temporal`.