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NoahJenkins

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• 6 skills
• 0 followers
• 1 day ago last updated

1. ▌
   Sync Agents · noahjenkins

   Synchronize AGENTS.md content into all detected AI coding agent configurations. AGENTS.md is the universal source of truth — read natively by GitHub Copilot (Aug 2025+), OpenAI Codex, Cursor, Gemini CLI, and VS Code. Falls back to .github/copilot-instructions.md for repos that have not migrated yet. Use when asked to mirror AGENTS.md or .github/copilot-instructions.md into Claude, Cursor, Gemini, Windsurf, and related tooling.
   0 installs
2. ▌
   Sync Agents 2 · noahjenkins

   Synchronize AGENTS.md content into all detected AI coding agent configurations. AGENTS.md is the universal source of truth — read natively by GitHub Copilot (Aug 2025+), OpenAI Codex, Cursor, Gemini CLI, and VS Code. Falls back to .github/copilot-instructions.md for repos that have not migrated yet. Use when asked to mirror AGENTS.md or .github/copilot-instructions.md into Claude, Cursor, Gemini, Windsurf, and related tooling.
   0 installs
3. ▌
   Eval Artifacts · noahjenkins

   LLM-as-judge scoring skill. Takes a transcript + sandbox state, applies the rubric, and produces a structured score report in docs/testingResults/.
   0 installs
4. ▌
   Test Artifact · noahjenkins

   Test distributable Copilot artifacts (agents, prompts, instructions, skills) against the testing_sandbox workspace. Use when you want to validate real behavior, collect actionable feedback, and publish dated results in docs/testingResults/.
   1 install
5. ▌
   Dependabot Automation · noahjenkins

   Automate Dependabot PR merging safely, align branch protection to current CI jobs, and remediate stored-XSS output sinks. Use when asked to set up Dependabot auto-merge, harden branch protection for CI, or fix output-encoding vulnerabilities in URL composition, templated script output (e.g. JSON-LD), or RSS/XML interpolation. Works with any GitHub-hosted repository.
   1 install
6. ▌
   Research Loop · noahjenkins

   Iterative prompt improvement loop (Karpathy autoresearch pattern). One iteration per invocation — run → score → hypothesize → apply → re-test → commit if improved, revert if regressed. Human-supervised; designed for single-turn skills.
   1 install