Daily Repo Goal Achiever: Fix typos and add Artifacts Summary workflow

[github-actions]

This PR addresses both Phase 1 (consistency checks) and Phase 2 (workflow discovery) of the Daily Repo Goal Achiever task.

Phase 1: Consistency Fixes

Fixed typos and numbering issues found during documentation review:

Issues Fixed

1. Typo in workflows/daily-test-improver.md (line 123)

   • Fixed: "the a step" → "a step"

2. Duplicate step numbering in workflows/pr-fix.md (lines 45-55)

   • Fixed: Steps numbered 4, 4, 5, 6, 7, 8 → 4, 5, 6, 7, 8, 9

These were identified through systematic review of all workflow and documentation files for typos, grammar issues, and clarity problems.

Phase 2: Workflow Discovery - Artifacts Summary

Added a new general-purpose workflow from Peli's Agent Factory: Artifacts Summary

Source

• Original: gh-aw/.github/workflows/artifacts-summary.md
• Repository: https://github.com/github/gh-aw

Why This Workflow is Valuable

Perfect for General Use:

• ✅ No language dependencies (works for any tech stack)
• ✅ No framework dependencies
• ✅ Works for ANY repository with GitHub Actions
• ✅ Uses only standard GitHub APIs
• ✅ Simple, focused, practical scope

Business Value:

• Cost Management: Helps teams monitor and reduce GitHub Actions storage costs
• Visibility: Provides clear insights into which workflows consume the most storage
• Actionable: Delivers specific optimization recommendations
• Proactive: Catches storage issues before they become expensive
• Team Communication: Discussion format enables collaborative review

What It Does

1. Analyzes all workflows in the repository
2. Collects artifact data from recent runs (last 30 days)
3. Calculates statistics: count, total size, average size
4. Generates a comprehensive report table
5. Provides insights and optimization recommendations
6. Creates a discussion for team review

Sample Output

Workflow Name	Artifacts Count	Total Size	Avg Size	Latest Run	Status
CI Tests	45	2.3 GB	52 MB	2024-01-15	Active
Build	12	456 MB	38 MB	2024-01-10	Active

Plus insights like:

• Which workflows generate the most artifacts
• Storage optimization recommendations
• Trend analysis and cost projections

Generalization Changes

To make this workflow suitable for the general-purpose agentics collection:

Removed:

• Shared imports (shared/mood.md, shared/reporting.md, shared/safe-output-app.md)
• Sandbox/firewall configuration (not in base agentics setup)
• strict: true mode
• gh-aw-specific references

Changed:

• Schedule: weekly on sunday around 06:00 → weekly (more flexible)
• Safe outputs: Simplified to discussion only
• Documentation: Enhanced with clearer general-purpose guidance
• Category: Changed to q-a (more standard)

Kept:

• Core analysis logic
• GitHub Actions API usage
• Report format and structure
• Practical recommendations

Files Added

• workflows/artifacts-summary.md - Workflow definition
• docs/artifacts-summary.md - Comprehensive documentation
• README.md - Added to "Research, Status & Planning Workflows" section

Why Not Other Candidates?

During evaluation, I also considered:

• breaking-change-checker - Too CLI-specific
• cli-consistency-checker - gh-aw tool specific
• security-compliance - Too enterprise/campaign focused
• stale-repo-identifier - Requires organization-level permissions
• audit-workflows - Agentic workflow infrastructure specific
• daily-file-diet - Depends on Serena (Go-specific tool)

Artifacts Summary emerged as the best candidate because it solves a universal problem (storage costs) with zero dependencies and maximum generalizability.

Use Cases

1. Cost-conscious teams: Monitor storage costs before they spike
2. Large repositories: Understand artifact patterns across many workflows
3. Optimization campaigns: Establish baseline, optimize, measure improvement
4. Compliance: Track artifact retention and data lifecycle
5. Budget planning: Generate reports for quarterly cost estimates

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Both Phase 1 fixes and Phase 2 workflow addition are included in this single PR to ensure comprehensive repository improvements in one review cycle.

AI generated by Daily Repo Goal Achiever