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[rig-summarizer] Daily file summary — 2026-10-17

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Avaliação

Dificuldade
1/5
Tempo estimado
Menos de uma hora
Facilidade para iniciantes
15/100
Tipo de issue
Documentação
Clareza
Precisa de esclarecimento
Status de atividade
Ativa
Stack de tecnologia
github-actions, typescript
Domínio
documentation

Direção de pesquisa

This is an automatically generated daily file summary with no requested change or acceptance criteria. Start by checking the linked workflow run and the summarized files, but there is no defined edit or test that would indicate completion.

Escrita pelo modelo de indexação a partir do texto da issue.

Descrição

ai-agent automation
Global Summary

Rig is a minimal TypeScript agent harness. The core runtime (rig.ts) provides declarative agents, schemas and prompt intents, with pluggable engines for Anthropic, Codex, DeepSeek, Gemini and Pi, plus a launch tool and workflow globals. The .github folder holds the Copilot SDK driver, the Codex and Pi integration helpers, and the provider fixtures (including the "three judges" fixture). scripts/ holds integration tests.

Individual File Summaries
File Summary
./.agents/skills/rig/engines/anthropic.ts Anthropic engine factory that converts Rig tools and system messages to Anthropic beta API calls with structured output.
./.agents/skills/rig/engines/codex.ts Codex engine factory that runs agents through the Codex SDK.
./.agents/skills/rig/engines/deepseek.ts DeepSeek engine factory that runs agents through the DeepSeek harness and checks the run completed.
./.agents/skills/rig/engines/gemini.ts Gemini engine factory that runs the Gemini CLI and validates its output.
./.agents/skills/rig/engines/pi.ts Pi engine factory that adapts Rig tools to Pi agent tools and extracts the response text.
./.agents/skills/rig/engines/utils.ts Shared engine helpers for agent lifecycle, object tool schemas and tool-result text.
./.agents/skills/rig/globals.ts Defines the global call workflow function, along with pipeline and parallel, bound to the active workflow context.
./.agents/skills/rig/launch-tool.ts Creates a tool that launches Rig programs from source.
./.agents/skills/rig/rig.ts Core Rig runtime (~3500 lines): schema types and helpers, agent construction, prompt intents, validation, repair and the engine interfaces.
./.agents/skills/rig/run.ts Entry point that runs the installed skill.
./.github/drivers/codex-fixture-mcp.ts Fixture MCP launcher and server used to test Rig launches from Codex.
./.github/drivers/copilot-sdk-driver.ts Driver that runs a Rig program through the Copilot SDK using required environment variables.
./.github/drivers/pi-rig-extension.ts Pi extension that registers a Rig tool.
./.github/fixtures/assert-three-judges.ts Asserts that three-judges output has the expected shape for an engine.
./.github/fixtures/pi-gateway.ts Helpers for validating and loading Pi gateway configuration.
./.github/fixtures/provider-fixture.ts Builds a provider fixture from required environment variables.
./.github/fixtures/provider-three-judges.ts Default export that creates the provider fixture.
./.github/fixtures/three-judges.ts Three-judge (clarity, safety, feasibility) fixture program that scores a dummy request.
./scripts/haiku.integration.test.ts Integration test that runs the haiku sample against a real engine.
./scripts/rig-launch-tool.integration.test.ts Integration test for the Rig launch tool.

Generated by Daily Rig File Summarizer · copilot · auto · 14.1 AIC · ⌖ 0.506 AIC · ⊞ 7.5K · ◷

  • expires on Oct 24, 2026, 2:31 PM UTC
Linguagem predominante
TypeScript
Estrelas
14
Forks
0
Merge médio
9h 49min
PRs com merge (30d)
32

Preparar o ambiente

Este projeto não oferece contêiner de desenvolvimento, Dockerfile nem guia de contribuição, então a configuração fica por sua conta: comece pelo README e veja nosso guia da primeira contribuição para os passos gerais.

Primeiros passos

  1. Leia a issue inteira e depois o guia de contribuição do projeto.
  2. Comente na issue dizendo que vai assumir — evita que duas pessoas façam o mesmo trabalho.
  3. Faça um fork do repositório e trabalhe em uma branch.
  4. Abra um pull request que referencie o número da issue.

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