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[rig-summarizer] Daily file summary — 2026-10-21

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Avaliação

Dificuldade
5/5
Tempo estimado
Mais de uma semana
Facilidade para iniciantes
1/100
Tipo de issue
Documentação
Clareza
Precisa de esclarecimento
Status de atividade
Ativa
Stack de tecnologia
typescript
Domínio
documentation

Direção de pesquisa

The issue contains generated daily summaries of Rig files but does not request a change. Start by reading the listed files under .agents/skills/rig/ and .github/fixtures/ to understand the project; there is no stated outcome or completion check.

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 typed schemas, prompt intents, workflows and a Copilot SDK engine. Alternative engines (Anthropic, Codex, DeepSeek, Gemini, Pi) share lifecycle helpers. A launch tool, CI drivers and fixtures (three-judge provider tests) plus integration tests exercise it.

Individual File Summaries
File Summary
./.agents/skills/rig/engines/anthropic.ts Engine adapter running Rig agents on the Anthropic SDK, with tool and JSON-schema output support.
./.agents/skills/rig/engines/codex.ts Engine adapter running Rig agents through the OpenAI Codex SDK threads.
./.agents/skills/rig/engines/deepseek.ts Engine adapter running Rig agents on the DeepSeek harness SDK.
./.agents/skills/rig/engines/gemini.ts Engine adapter that spawns the Gemini CLI process and parses its JSON output.
./.agents/skills/rig/engines/pi.ts Engine adapter built on the Pi agent core, mapping Rig tools to Pi tools.
./.agents/skills/rig/engines/utils.ts Shared engine helpers: agent turn lifecycle (abort, no concurrent turns) and tool schema/result utilities.
./.agents/skills/rig/globals.ts Ambient workflow helpers (call, pipeline, parallel) delegating to the active workflow run.
./.agents/skills/rig/launch-tool.ts Creates a Copilot SDK tool that launches a Rig program via the launcher with a timeout.
./.agents/skills/rig/rig.ts Core runtime: schemas, prompt intents, addons, workflows, Copilot SDK engine and launcher CLI.
./.agents/skills/rig/run.ts Entry point that runs the installed skill's launcher CLI.
./.github/drivers/codex-fixture-mcp.ts Codex driver exposing the three-judge fixture launcher over an MCP HTTP server.
./.github/drivers/copilot-sdk-driver.ts Copilot SDK driver wiring the Rig launch tool into gh-aw runs.
./.github/drivers/pi-rig-extension.ts Pi extension tool that runs the three-judge fixture and validates its output.
./.github/fixtures/assert-three-judges.ts Assertions validating three-judge fixture results per engine.
./.github/fixtures/pi-gateway.ts Loads and builds the Pi aw-gateway provider models from harness config.
./.github/fixtures/provider-fixture.ts Selects and configures the provider engine (codex, deepseek, gemini, pi) for the three-judge fixture.
./.github/fixtures/provider-three-judges.ts Default-exports the provider-based three-judge fixture.
./.github/fixtures/three-judges.ts Defines three-judge workflow evaluating a dummy request on clarity, safety and feasibility.
./scripts/haiku.integration.test.ts Integration tests running haiku, sonnet and complex samples through the launcher when credentials exist.
./scripts/rig-launch-tool.integration.test.ts Live integration test running the three-judge fixture via the harness-owned launch tool.

Generated by Daily Rig File Summarizer · copilot · auto · 14.5 AIC · ⌖ 0.515 AIC · ⊞ 7.6K · ◷

  • expires on Oct 28, 2026, 2:36 PM UTC
Linguagem predominante
TypeScript
Estrelas
14
Forks
0
Merge médio
9h 27min
PRs com merge (30d)
34

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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