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* Add resemble-detect skill Deepfake detection and media safety skill using Resemble AI — detects AI-generated audio, images, video, and text with confidence scores, traces audio source platforms, applies and reads watermarks, verifies speaker identity, and extracts media intelligence (speaker, emotion, misinformation signals). Packaged as SKILL.md + LICENSE (Apache-2.0). Generated docs updated via npm start per CONTRIBUTING.md. * resemble-detect: trim body under 500 lines + add compatibility Moves detailed request/response schemas from SKILL.md into references/api-reference.md, bringing the SKILL body from 557 to 282 lines (validator hard cap is 500). Core decision-making content — capability decision tree, score interpretation, workflows, red flags — stays in the body where the agent needs it at query time. Also adds a compatibility field to frontmatter per review feedback: surfaces the RESEMBLE_API_KEY requirement and the public-HTTPS-URL constraint upfront. * Fix resemble-detect skill metadata
⚡ Agentic Workflows
Agentic Workflows are AI-powered repository automations that run coding agents in GitHub Actions. Defined in markdown with natural language instructions, they enable event-triggered and scheduled automation with built-in guardrails and security-first design.
How to Contribute
See CONTRIBUTING.md for guidelines on how to contribute new workflows, improve existing ones, and share your use cases.
How to Use Agentic Workflows
What's Included:
- Each workflow is a single
.mdfile with YAML frontmatter and natural language instructions - Workflows are compiled to
.lock.ymlGitHub Actions files viagh aw compile - Workflows follow the GitHub Agentic Workflows specification
To Install:
- Install the
gh awCLI extension:gh extension install github/gh-aw - Copy the workflow
.mdfile to your repository's.github/workflows/directory - Compile with
gh aw compileto generate the.lock.ymlfile - Commit both the
.mdand.lock.ymlfiles
To Activate/Use:
- Workflows run automatically based on their configured triggers (schedules, events, slash commands)
- Use
gh aw run <workflow>to trigger a manual run - Monitor runs with
gh aw statusandgh aw logs
When to Use:
- Automate issue triage and labeling
- Generate daily status reports
- Maintain documentation automatically
- Run scheduled code quality checks
- Respond to slash commands in issues and PRs
- Orchestrate multi-step repository automation
| Name | Description | Triggers |
|---|---|---|
| Daily Issues Report | Generates a daily summary of open issues and recent activity as a GitHub issue | schedule |
| OSPO Contributors Report | Monthly contributor activity metrics across an organization's repositories. | schedule, workflow_dispatch |
| OSPO Organization Health Report | Comprehensive weekly health report for a GitHub organization. Surfaces stale issues/PRs, merge time analysis, contributor leaderboards, and actionable items needing human attention. | schedule, workflow_dispatch |
| OSPO Stale Repository Report | Identifies inactive repositories in your organization and generates an archival recommendation report. | schedule, workflow_dispatch |
| OSS Release Compliance Checker | Analyzes a target repository against open source release requirements and posts a detailed compliance report as an issue comment. | issues, workflow_dispatch |
| Relevance Check | Slash command to evaluate whether an issue or pull request is still relevant to the project | slash_command, roles |
| Relevance Summary | Manually triggered workflow that summarizes all open issues and PRs with a /relevance-check response into a single issue | workflow_dispatch |
| Weekly Comment Sync | Weekly workflow that finds stale code comments or README snippets, makes text-only synchronization updates, and opens a draft pull request when changes are needed. | schedule, workflow_dispatch |