By Borda Verified
Manage open-source projects on GitHub: triage issues, review pull requests, analyze repository health, optimize CI/CD pipelines, and prepare release documentation.
CI/CD health specialist, Python/GitHub Actions only — failing CI runs, build times, test matrices, caching, SHA pinning. NOT for ruff/mypy config (foundry:linting-expert), PyPI release/CHANGELOG (oss:shepherd), non-GitHub-Actions platforms. TRIGGER: failing CI runs, slow builds, caching/SHA-pinning questions. SKIP: no GitHub Actions content.
Fetches all GitHub API data for a repo (REST + GraphQL) in two parallel groups; writes raw JSONL for oss:repo-warden axis scorers. TRIGGER when: spawned by /oss:analyse (vitality mode) to fetch raw GitHub data. NOT for axis scoring or report generation. NOT for direct user invocation.
Scores an assigned group of vitality axes from a pre-fetched DATA_FILE using vitality-scoring.md; writes partial scores JSON for /oss:analyse assembly. TRIGGER when: spawned 3× in parallel by /oss:analyse (vitality mode) to score axis groups A, B, or C. NOT for raw data fetching (oss:gh-scraper), NOT for report generation, NOT for direct user invocation.
OSS shepherd, Python/ML/CV/AI — contributor communication (triage, reply/PR drafts), release coordination (SemVer, PyPI, CHANGELOG). NOT for docstrings/README (foundry:doc-scribe), CI/publish YAML (oss:cicd-steward), diff review (/oss:review), CHANGELOG gen (/oss:release). TRIGGER: triaging issues/PRs, SemVer. SKIP: posting to GitHub.
Analyze GitHub issues, Pull Requests (PRs), Discussions, and repo vitality for an Open Source Software (OSS) project. For any specific item, casts a wide net — finds and lists all related open and closed issues/PRs/discussions, explicitly flags duplicates. Summarizes long threads, extracts reproduction steps, and generates repo vitality stats. Uses gh Command Line Interface (CLI) for GitHub Application Programming Interface (API) access. Complements oss:shepherd (requires `oss` plugin). NOT for PR readiness assessment or code review (use oss:review). TRIGGER when: user provides GitHub issue number (#N), PR number, or github.com URL with issue/PR/discussion path AND asks to analyze, summarize, understand, or triage it; user asks for repo vitality stats or "is this repo healthy". SKIP: user already pasted full thread text inline; oss:resolve already active on same PR; user wants code review (use oss:review); user phrasing is "review PR" meaning code quality assessment, not thread triage (route to oss:review).
Prepare release communication and check readiness. Main mode: notes with optional flags --changelog, --summary, --migration; range as v1->v2. Other modes: prepare (full pipeline: audit → all artifacts), audit (pre-release readiness: blockers, docs alignment, version consistency, CVEs), demo (story-telling release notebook in jupytext # %% format). TRIGGER when: user requests release notes, CHANGELOG entry, migration guide, internal summary, release readiness audit, or release demo; phrases: 'draft release notes', 'prepare release', 'audit release readiness', 'generate CHANGELOG for v1->v2', 'release demo notebook'. SKIP: actual git tagging or PyPI/registry upload (use git tag, gh release create, twine upload directly); release communication for a non-Python project where this skill's pytest-centric audit assumptions do not apply; PR-level review (use /oss:review); thread/issue analysis (use /oss:analyse).
OSS maintainer fast-close workflow for GitHub PRs. Three phases: (1) PR intelligence — reads full thread, linked issues, PR body to synthesize contribution motivation and classify every comment into action items; (2) conflict resolution — checks out PR branch (fork-aware via gh pr checkout), merges BASE into it, resolves conflicts semantically using contributor's intent as priority lens; (3) implements each action item as separate attributed commit via Codex, pushes back to contributor's fork. Supports three source modes: pr (live GitHub comments only), report (latest /review report findings as action items, no GitHub re-fetch), and pr + report (both sources aggregated and deduplicated in one pass). Also accepts bare comment text for single-comment dispatch. NOT for reply drafting to /oss:analyse findings (use /oss:analyse --reply (requires `oss` plugin)). NOT for code diff review of PR changes (use /oss:review). NOT for release preparation (use /oss:release). NOT for fixing local bugs unrelated to a PR (use /develop:fix; requires develop plugin). TRIGGER when: PR is ready to close and has open comments, conflicts, or review findings to address; user says 'close this PR', 'resolve comments on PR #N', or 'implement review findings'.
Multi-agent code review of GitHub Pull Requests (Python source, documentation (Markdown/RST), and CI/CD config PRs) covering architecture, tests, performance, docs, lint, security, and API design. TRIGGER when: user provides a GitHub PR number (e.g. 42, #42) and asks to review/audit/check it, or provides a saved review-report path with --reply to draft a contributor-facing comment; phrases: 'review PR 123', 'audit this pull request', 'look at PR #42', 'draft a reply for this review report'. SKIP: local file or current git diff review (use /develop:review (requires 'develop' plugin)); non-Python source PRs without Python files (TypeScript-only, Go-only, Rust-only); standalone issue/discussion thread analysis (use /oss:analyse).
Uses power tools
Uses Bash, Write, or Edit tools
npx claudepluginhub borda/ai-rig --plugin ossVerified owner:Jirka Borovec
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Executables (bin/) — files in this plugin's bin/directory are added to the Bash tool's PATH while the plugin is enabled.
Specialist-agent infrastructure for Python/ML OSS — the scaffolding that lets you maintain at scale without becoming a full-time reviewer.
16 specialist roles across Claude and Codex · 20+ Claude workflows · 12 Codex-native skills · 5 domain plugins — opinionated Claude Code + Codex CLI configuration for Python/ML OSS maintainers, version-controlled and self-calibrating.
Things not possible with vanilla Claude Code:
Parallel multi-specialist PR review with convergence callouts. /oss:review fans six specialist agents — architecture, tests, perf, docs, lint, security — plus an independent Codex pre-pass, all running simultaneously. The consolidator flags every finding that two or more reviewers independently raised. You see both per-dimension analysis and the overlap, in one report.
Codex-native specialist orchestration. Codex skills now split broad work into specialist-owned context packs instead of flooding every agent with the whole repo or PR thread. code-review, develop, code-remediate, and investigate can fan out to focused QA, architecture, docs, CI, security, data, performance, research, and challenge passes, then consolidate evidence into one decision.
PR code-review-to-remediation without report-path hunting. Inside Codex, $code-review #123 writes the review artifact. Later, $code-remediate #123 +review finds the newest matching report, re-collects current PR evidence, checks out the PR locally, fetches the target branch, pre-stages merge/conflict context, asks which findings to resolve, then applies only the selected work.
Remediation workplans that assign selected findings to the right owner. Before editing, Codex groups selected findings by root cause, closure type, affected files, verification command, or merge risk. Each group gets a primary owner, verifier, context pack, and expected closure evidence, so several related review comments become one coherent fix instead of scattered edits.
Feature development that cannot skip the demo test. /develop:feature requires a failing demo test to exist and pass review before a single line of production code is written. The gate is structural — the workflow does not proceed to implementation without it.
Metric-driven experiment loops that auto-rollback on regression. /research:run proposes a change, applies it, measures the target metric, and automatically reverts if the metric regresses — then tries the next hypothesis. The loop runs unattended; you set the goal and the guard, and review the committed result.
Agent and skill calibration that measures overconfidence and workflow leaks. /foundry:calibrate and .codex/calibration/run.py score recall, precision, confidence accuracy, stale assumptions, missing gates, fake fan-out claims, and unsafe PR-remediation behavior. The offline Codex harness runs those checks in CI without contacting any LLM.
OSS Claude Code config: agents, skills, and hooks for professional AI-assisted development workflows
Implementation workflow skills: feature, fix, refactor, plan, debug, review
ML research skills: topic, plan, judge, run, sweep, verify, fortify, retro
Codebase structural index - scan Python projects once, query the import graph for blast-radius and coupling before touching code — Python projects only
Business-first computer vision delivery guide for Claude Code and Codex. Turn an operational goal into a scoped proof plan, verified evidence, costs, and a decision.
OSS Claude Code config: agents, skills, and hooks for professional AI-assisted development workflows
End-to-end GitHub repository maintenance for open-source projects. Use when asked to triage issues, review PRs, analyze contributor activity, generate maintenance reports, or maintain a repository.
Editorial "OSS Maintainer" bundle for Claude Code from Antigravity Awesome Skills.
Developer productivity tools for Python packaging, CI/CD debugging, and workflow automation. Includes skills for analyzing package build complexity, resolving dependencies, finding licenses, debugging GitLab pipelines, reviewing ADRs, and more.
Codex CLI orchestration from Claude Code: /codex:ask read-only delegation, /codex:exec one-shot runs with JSONL monitoring, /codex:auto full issue lifecycle delegation, /codex:status readiness checks.
Automated code review for pull requests using multiple specialized agents with confidence-based scoring