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[rig-summarizer] Daily file summary — 2026-10-30

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Bewertung

Schwierigkeit
5/5
Geschätzter Aufwand
Über eine Woche
Anfängerfreundlichkeit
15/100
Issue-Typ
Dokumentation
Klarheit
Muss geklärt werden
Aktivitätsstatus
Aktiv
Tech-Stack
typescript
Bereich
tooling

Rechercherichtung

This issue is an automatically generated file summary, not a specific change request. Start by reviewing the listed files, such as .agents/skills/rig/rig.ts and the fixture files under .github/fixtures; no completion criterion is stated, so ask the maintainers what work they want before proceeding.

Vom Indexierungsmodell aus dem Issue-Text verfasst.

Beschreibung

ai-agent automation
Global Summary

The first 20 TypeScript files (sorted) in Rig are the core runtime and its provider engines (.agents/skills/rig), CI driver and fixture code (.github/drivers, .github/fixtures), and integration tests (scripts). The core rig.ts (about 3.4k lines) provides schemas, prompt intents, addons and the Copilot SDK runtime. Separate engine adapters wrap Anthropic, Codex, DeepSeek, Gemini and Pi behind a shared lifecycle helper. The fixtures and drivers run a "three judges" workflow against each provider.

Note: summaries were produced directly from file headers and structure, not via the sub-agent delegation, because the rig launcher could not be run here.

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 using the OpenAI Codex SDK threads, with response-schema normalization.
./.agents/skills/rig/engines/deepseek.ts DeepSeek engine adapter wrapping the DeepSeek harness client for agent turns.
./.agents/skills/rig/engines/gemini.ts Gemini engine adapter that spawns the Gemini CLI process and manages sessions.
./.agents/skills/rig/engines/pi.ts Pi engine adapter built on pi-agent-core, mapping Rig tools to Pi agent tools.
./.agents/skills/rig/engines/utils.ts Shared engine helpers: turn lifecycle with abort and concurrency guarding, tool schema and 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 via the launcher process with a timeout.
./.agents/skills/rig/rig.ts Core Rig runtime: typed schemas, prompt intents, addons, workflows, Copilot SDK engine and launcher CLI.
./.agents/skills/rig/run.ts Entry script that invokes the Rig launcher CLI for the installed skill.
./.github/drivers/codex-fixture-mcp.ts Driver that runs the three-judge fixture for Codex through an HTTP MCP server and launcher.
./.github/drivers/copilot-sdk-driver.ts Copilot SDK driver that wires the Rig launch tool into a CI session using harness-provided environment.
./.github/drivers/pi-rig-extension.ts Pi extension exposing a Rig tool that runs the fixture and asserts the three-judge result.
./.github/fixtures/assert-three-judges.ts Asserts the three-judge fixture output has the expected engine, model and judgments.
./.github/fixtures/pi-gateway.ts Parses the harness-provisioned Pi aw-gateway provider config into a Pi model setup.
./.github/fixtures/provider-fixture.ts Builds the provider-specific three-judge fixture using engine, model and environment variables.
./.github/fixtures/provider-three-judges.ts Default-exports 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 that run the haiku, sonnet and complex samples through the launcher when a token is present.
./scripts/rig-launch-tool.integration.test.ts Live integration test running the three-judge fixture through a harness-owned launch tool.

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

  • expires on Nov 6, 2026, 2:32 PM UTC
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TypeScript
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9 Std. 27 Min.
Gemergte PRs (30 T.)
34

Entwicklungsumgebung

Dieses Projekt bietet weder Dev-Container noch Dockerfile noch Beitragsleitfaden – die Einrichtung liegt bei Ihnen. Beginnen Sie mit der README; die allgemeinen Schritte stehen in unserem Leitfaden für den ersten Beitrag.

Erste Schritte

  1. Lesen Sie das ganze Issue und danach den Beitragsleitfaden des Projekts.
  2. Schreiben Sie ins Issue, dass Sie es übernehmen — das erspart doppelte Arbeit.
  3. Forken Sie das Repository und arbeiten Sie in einem Branch.
  4. Öffnen Sie einen Pull Request, der die Issue-Nummer nennt.

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