ddadmin
983a7a04ff
- Зачем: - Sonnet обеспечивает лучшее соотношение цена/качество для runner subagent. - Что: - AGENTS.md: обновлено описание runner subagent (model: haiku → sonnet). - SKILL.md: обновлены все ссылки на модель runner в Agent tool и документации. - docs/DESIGN.md: обновлено описание модели в §12.5 и §12.6. - Проверка: - git diff HEAD~1 -- AGENTS.md SKILL.md docs/DESIGN.md.
42 lines
2.9 KiB
Markdown
42 lines
2.9 KiB
Markdown
# AGENTS.md
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Orientation for AI coding agents working on this repo.
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## What this is
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A Claude Code skill that orchestrates adversarial review: Claude writes an adversarial prompt, launches OpenAI Codex as an external reviewer, shows the findings to the user, applies fixes, and iterates up to 5 rounds until approved. This is **not a regular codebase** — the product is a single instruction file (`SKILL.md`) executed by Claude Opus at runtime.
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## Where to look
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- **README.md** — user-facing: install, permissions, troubleshooting.
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- **SKILL.md** — the instruction template Opus executes. Uses `${PLACEHOLDER}` syntax for runtime substitution (not shell variables). Step ordering is load-bearing.
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- **docs/DESIGN.md** — the "why" behind every non-obvious decision, rejected alternatives, verification protocol (§7 smoke tests), and the update protocol (§10). Read §10 before modifying SKILL.md.
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- **examples/** — sample outputs. Not source of truth.
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## Before you change things
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- Don't renumber DESIGN.md sections — cross-refs across all three files break silently (§10.2).
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- Don't remove the session marker `<!-- ADVERSARIAL-REVIEW-SESSION: ${REVIEW_ID}-${ATTEMPT_ID} -->` from prompt templates — the session-id fallback depends on it (§4.1b).
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- Don't add silent-recovery fallbacks. The skill's explicit preference is fail-closed over masked failure (§6.7, §6.8).
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## Verifying a change
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- Smoke test: `docs/DESIGN.md §7` — copy-paste bash, runs in ~2 minutes.
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- End-to-end: dogfood via `/adversarial-review code` against any branch with commits vs master.
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- No automated CI (§9.6 explains why).
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## Architecture
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The skill runs in two processes:
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**Main orchestrator** (`SKILL.md`, main Claude thread): mode detection, REVIEW_ID, REPO_ROOT capture, review-material prep (Steps 1-3), review display (Step 5), code fixes (Step 6), final summary (Step 8), cleanup (Step 9), and round counting.
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**Runner subagent** (`references/runner.md`, dispatched via Claude Code's Agent tool with `model: sonnet`): builds the launch prompt with per-attempt session marker, invokes `codex exec` (or resume or fresh-exec), runs strict checks on the result, captures the session id via two-tier lookup (primary JSONL `thread_id`, secondary rollout content-match), retries once on infrastructure failure, returns a small JSON summary.
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**Why the split:** Every codex-exec invocation produces stdout JSONL, a stderr file, and a rollout file under `~/.codex/sessions/`. Keeping these inside the subagent means the main thread's context never sees them — only the final review markdown (~5K) flows back. This eliminates the ~48M-token cache-read residue observed before the split.
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**Boundary invariants:**
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- Main never reads `/tmp/codex-stdout-*`, `/tmp/codex-stderr-*`, or any rollout file directly.
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- Subagent never interprets findings, applies fixes, or decides whether to start another round.
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- The review file at `/tmp/codex-review-${REVIEW_ID}.md` is the sole artifact that crosses the boundary.
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