feat: add archivx agentic workflows analyzer with glowmotion animated diagrams

[Copilot]

Adds a new weekly workflow that analyzes the past 7 days of agentic workflow runs and produces a premium animated HTML architecture diagram using the glowmotion skill — self-contained, light/dark switchable, no external dependencies.

New workflow: archivx-agentic-workflows-analyzer

• Data collection — fetches last 7 days of run logs via agentic-workflows MCP (logs, up to 200 runs); calls noop if fewer than 5 runs found
• Animated diagram — authors a graph JSON describing the workflow ecosystem (grouped by category: analysis, triage, security, CI, reporting), renders with python3 layout.py in aurora dark theme, verifies with check_diagram.py to 0 violations
• Artifact — uploads agentic-workflows-archivx.html (30-day retention) as archivx-animated-diagram
• Discussion — creates a [archivx] weekly discussion with success rate, engine distribution, top failures, and a link to the animated artifact

Skill

Pinned: SylphAI-Inc/skills/skills/glowmotion@0a3dc91bab4ca2be12882540f5812ccbbcf01e40

[pelikhan]

@copilot use api logs shared agentic workflows

[Copilot]

@copilot use api logs shared agentic workflows

Done. Replaced the inline agentic-workflows MCP logs call with the shared pre-fetch pattern:

• Added a steps: pre-step that runs ./gh-aw logs --start-date -7d --count 200 -o /tmp/gh-aw/aw-mcp/logs before the agent starts
• Added {{#runtime-import? shared/aw-logs-24h-fetch-prompt.md}} in the prompt body for directory structure context
• Updated Step 1 to read aw_info.json files from /tmp/gh-aw/aw-mcp/logs/ instead of calling the MCP tool inline

[github-actions]

✨ Great work, @Copilot! This archivx workflow looks polished and well-documented. You've added a premium feature for visualizing agentic workflow health with animated diagrams, and the implementation is focused and clean.

What stands out:

• Clear, comprehensive description of what the workflow does
• Skill is properly pinned with commit hash (glowmotion@0a3dc91...)
• Both the .md (readable source) and .lock.yml (compiled, production-ready) are included
• Scope is tight — exactly what's needed, no extra scope creep
• In draft status, ready for review

The contribution follows the project guidelines well. Once you're ready to move out of draft, this should be good to merge. The weekly schedule, artifact uploads, and discussion creation make this a solid addition to the workflow ecosystem. 👍

Warning

Firewall blocked 1 domain

The following domain was blocked by the firewall during workflow execution:

• patchdiff.githubusercontent.com

To allow these domains, add them to the network.allowed list in your workflow frontmatter:

network:
  allowed:
    - defaults
    - "patchdiff.githubusercontent.com"

See Network Configuration for more information.

Generated by ✅ Contribution Check · auto · 55.1 AIC · ⌖ 4.76 AIC · ⊞ 8.8K · ◷

[Copilot]

Pull request overview

Adds a weekly agentic workflow that analyzes recent workflow health and publishes an animated Glowmotion report.

Changes:

• Collects seven days of workflow run data.
• Generates and validates an animated HTML diagram.
• Uploads the artifact and creates a summary discussion.

Show a summary per file

File	Description
.github/workflows/archivx-agentic-workflows-analyzer.md	Defines the analyzer workflow and reporting prompt.
.github/workflows/archivx-agentic-workflows-analyzer.lock.yml	Compiled GitHub Actions workflow.

Review details

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Suppressed comments (3)

.github/workflows/archivx-agentic-workflows-analyzer.md:68

• aw_info.json is produced before the run finishes, so it does not contain the final conclusion or parsed token metrics needed for success rate, failures, and average tokens. Use each run’s run_summary.json for final workflow/conclusion/token data and aw_info.json only for engine metadata.

Workflow logs for the past 7 days have been pre-downloaded to `/tmp/gh-aw/aw-mcp/logs/`. Read the `aw_info.json` metadata files to extract:

.github/workflows/archivx-agentic-workflows-analyzer.md:77

• gh aw logs writes a top-level summary.json alongside the run-* directories, so this command reports five entries when only four runs exist and incorrectly bypasses the fewer-than-five guard. Count processed run summaries instead.

ls /tmp/gh-aw/aw-mcp/logs/ | wc -l

.github/workflows/archivx-agentic-workflows-analyzer.md:82

• The example still reads only activation metadata, so following it cannot determine which workflows failed or obtain final token metrics. Read the per-run summaries together with aw_info.json.

for d in /tmp/gh-aw/aw-mcp/logs/*/; do
  cat "$d/aw_info.json" 2>/dev/null || true
done

• Files reviewed: 1/2 changed files
• Comments generated: 2
• Review effort level: Balanced

[github-actions]

🎉 This pull request is included in a new release.

Release: v0.84.3