[rig-summarizer] Daily file summary — 2026-10-31

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Evaluación

Dificultad
2/5
Tiempo estimado
Menos de una hora
Aptitud para principiantes
12/100
Tipo de issue
Documentación
Claridad
Necesita aclaración
Estado de actividad
Activo
Stack tecnológico
typescript
Área
ai-infra-agents, documentation

Línea de trabajo

This is an automated daily summary of files under .agents/skills/rig, .github/drivers, .github/fixtures and scripts, and it asks for no specific change. Read .agents/skills/rig/rig.ts to check that its one-line description matches the code. A newcomer should not pick this up as-is. Done would mean a concrete, confirmed correction to one row, raised as a separate issue.

Escrito por el modelo de indexación a partir del texto del issue.

Descripción

ai-agent automation
Global Summary

Rig is a minimal TypeScript agent harness. The core runtime (rig.ts) provides typed schemas, prompt intents, addons, workflows and a Copilot SDK runtime. Alongside it are alternative engine adapters (Anthropic, Codex, DeepSeek, Gemini, Pi), a launcher and launch tool, and GitHub workflow drivers, fixtures and integration tests for provider and three-judge validation.

Individual File Summaries
File Summary
./.agents/skills/rig/engines/anthropic.ts Anthropic engine adapter that builds an AgentFactory on the Anthropic SDK, with JSON-schema output and tool support.
./.agents/skills/rig/engines/codex.ts Codex engine adapter that runs agent turns on Codex SDK threads with response schema normalization.
./.agents/skills/rig/engines/deepseek.ts DeepSeek engine adapter using the DeepSeek harness client; it rejects Rig tools.
./.agents/skills/rig/engines/gemini.ts Gemini engine adapter that spawns the Gemini CLI process to run agent turns.
./.agents/skills/rig/engines/pi.ts Pi engine adapter built on the Pi agent core and model registry, with tool support.
./.agents/skills/rig/engines/utils.ts Shared engine helpers: agent turn lifecycle (abort and concurrency guard) and tool schema/result utilities.
./.agents/skills/rig/globals.ts Ambient workflow helpers (call, pipeline, parallel) that delegate to the active workflow run.
./.agents/skills/rig/launch-tool.ts Creates a Copilot SDK tool that launches Rig programs through the launcher process.
./.agents/skills/rig/rig.ts Core Rig runtime: schemas, prompt intents, agents, 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 Driver that runs the three-judge fixture through a Codex MCP launcher and asserts the result.
./.github/drivers/copilot-sdk-driver.ts Copilot SDK driver that configures sessions and tools and exposes the Rig launch tool.
./.github/drivers/pi-rig-extension.ts Pi extension tool that runs the Rig fixture and writes the validated three-judge output.
./.github/fixtures/assert-three-judges.ts Assertions validating three-judge fixture results per engine and model.
./.github/fixtures/pi-gateway.ts Loads and validates the Pi aw-gateway provider configuration into Pi models.
./.github/fixtures/provider-fixture.ts Builds a provider-specific three-judge fixture from environment configuration for Codex, DeepSeek, Gemini and Pi.
./.github/fixtures/provider-three-judges.ts Default export that instantiates the provider fixture.
./.github/fixtures/three-judges.ts Defines the three-judge workflow (clarity, safety, feasibility) over a dummy request.
./scripts/haiku.integration.test.ts Integration tests running the haiku, sonnet and complex samples through the launcher when credentials are available.
./scripts/rig-launch-tool.integration.test.ts Live integration test running the three-judge fixture through the harness-owned launch tool.

Note: the file list is capped at the first 20 results of find ... | sort | head -20, so it does not cover the whole repo.

Generated by Daily Rig File Summarizer · copilot · auto · ~15 AIC · ⌖ ~1 AIC · ⊞ 3.9K · ◷

  • expires on Nov 7, 2026, 2:27 PM UTC
Lenguaje dominante
TypeScript
Estrellas
14
Forks
0
Merge medio
9 h 15 min
PR fusionados (30 d)
35

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  4. Abre un pull request que haga referencia al número del issue.

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