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

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Bewertung

Schwierigkeit
5/5
Geschätzter Aufwand
Über eine Woche
Anfängerfreundlichkeit
1/100
Issue-Typ
Dokumentation
Klarheit
Muss geklärt werden
Aktivitätsstatus
Aktiv
Tech-Stack
typescript
Bereich
documentation

Rechercherichtung

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.

Vom Indexierungsmodell aus dem Issue-Text verfasst.

Beschreibung

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
Vorherrschende Sprache
TypeScript
Sterne
14
Forks
0
Ø Merge
9 Std. 44 Min.
Gemergte PRs (30 T.)
33

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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