sg-scout
/sg-scout — GitHub Intelligence for ShipGuard
Scan the GitHub ecosystem for techniques that could make ShipGuard better. Parse repos, score relevance, extract actionable ideas, and file them as issues — or seed the techniques library for future reference.
Think of it as a research assistant that reads other people's code so you don't have to, then brings back only what's worth stealing.
Recommended model: Sonnet 4.6. Web search + repo scanning + summary writing — mechanical research work where Opus 4.7 provides no measurable quality gain. Use
/model sonnetbefore invoking to save Opus weekly quota.
Invocations
| Command | Behavior |
|---|---|
/sg-scout |
Full scan — search GitHub, analyze top repos, publish findings |
/sg-scout <url> |
Deep-dive on one specific repo |
/sg-scout --topic=eval |
Focus: evaluation, benchmarking, scoring techniques |
/sg-scout --topic=self-improving |
Focus: auto-optimization, mutation, feedback loops |
/sg-scout --topic=audit |
Focus: code review, static analysis, bug detection |
/sg-scout --topic=visual |
Focus: visual regression, screenshot testing, UI automation |
/sg-scout --dry-run |
Show findings in terminal, don't create issues or write files |
More from bacoco/shipguard
sg-visual-fix
Process human-annotated Visual screenshots — analyze marked problem areas, trace to source code, implement fixes, capture before/after screenshots, and regenerate the review page with a comparison tab. Trigger on "sg-visual-fix", "fix annotated tests", "process review annotations", "visual fix", "fix les annotations", "traite la review".
1sg-improve
Auto-improve ShipGuard from real session learnings. Run this after any /sg-code-audit, /sg-visual-run, or debugging session. Analyzes what worked, what broke, and what was slow — saves project-specific learnings locally (zone sizing, patterns, infra timing) and files generic improvements as GitHub issues. The local learnings feed back into the next audit run automatically. Trigger on "sg-improve", "improve shipguard", "ameliore shipguard", "shipguard feedback", "session insights", "retex", "retrospective", "what did we learn".
1sg-record
Record browser interactions as replayable ShipGuard test manifests. Opens a Playwright browser with a floating toolbar — user navigates, clicks Check to mark assertions, clicks Stop to generate YAML. Trigger on "sg-record", "record test", "record interactions", "macro recorder", "enregistrer test", "enregistre les interactions".
1sg-visual-review
Generate an interactive HTML screenshot review page from Visual test results. Browse all test screenshots in a grid, filter by status/category, annotate problems with a pen tool, multi-select failed tests, and export re-run manifests. Trigger on "sg-visual-review", "visual review", "review screenshots", "show test results", "review visual", "visual-review", "show results", "test review".
1sg-code-audit
Parallel AI codebase audit — dispatches agents to find and fix bugs across the entire repo. Produces structured JSON results viewable in /sg-visual-review. Trigger on "sg-code-audit", "code audit", "audit codebase", "find bugs", "code-audit", "audit code", "static audit", "security audit", "ship guard".
1sg-visual-run
Execute Visual test manifests using agent-browser with hybrid scripted+LLM assertions. Accepts natural language to describe what to test or what changed — the skill finds and runs the right tests, generating missing ones if needed. Trigger on "sg-visual-run", "visual run", "run visual tests", "test regressions", "run tests", "visual-run", "check if the app works", "I changed X check it still works".
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