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.changeset/forty-dingos-chew.md

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package-lock.json

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packages/iso-eval/CHANGELOG.md

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# @razroo/iso-eval
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## 0.3.0
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### Minor Changes
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- 5f4178f: Add a built-in Codex runner to `iso-eval` so suites can execute against a
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real coding harness instead of only the fake runner.
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Expand `iso-trace` with Codex and OpenCode transcript support, session
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discovery across those harnesses, `model-score` reporting, and
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CI-friendly routing/schema regression gates for OpenCode tool usage.
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## 0.2.0
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- type: agentmd_adherence
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promptFile: ../agent.md
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fixtures: ../fixtures.yml
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ruleId: H3 # optional
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ruleId: H3 # optional
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minPassRate: 0.9
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via: claude-code # optional (api | claude-code | fake)
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model: claude-haiku-4-5 # optional
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timeoutMs: 180000 # optional
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via: claude-code # optional (api | claude-code | fake)
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model: claude-haiku-4-5 # optional
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timeoutMs: 180000 # optional
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```
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Adds `@razroo/agentmd` as a runtime dependency so installing

packages/iso-eval/package.json

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{
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"name": "@razroo/iso-eval",
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"version": "0.2.0",
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"version": "0.3.0",
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"description": "Behavioral eval runner for AI coding agents — snapshot a workspace, hand it to a runner with a task prompt, score the resulting filesystem/git state.",
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"license": "MIT",
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"type": "module",

packages/iso-trace/CHANGELOG.md

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# @razroo/iso-trace
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## 0.3.0
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### Minor Changes
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- 5f4178f: Add a built-in Codex runner to `iso-eval` so suites can execute against a
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real coding harness instead of only the fake runner.
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Expand `iso-trace` with Codex and OpenCode transcript support, session
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discovery across those harnesses, `model-score` reporting, and
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CI-friendly routing/schema regression gates for OpenCode tool usage.
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## 0.2.0
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### Minor Changes
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- Initial release. Parse Claude Code JSONL session transcripts into a
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harness-agnostic event model so you can ask *which rules ever
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actually fired?*, *which tools does my agent reach for most?*, and
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*which captured sessions would make good regression fixtures?* Ships
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harness-agnostic event model so you can ask _which rules ever
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actually fired?_, _which tools does my agent reach for most?_, and
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_which captured sessions would make good regression fixtures?_ Ships
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`sources`, `list`, `show`, `stats`, and `export` commands. Zero
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upload — everything is local reads and user-controlled output. Codex
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and OpenCode parsers are additive and planned for later minor

packages/iso-trace/package.json

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{
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"name": "@razroo/iso-trace",
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"version": "0.2.0",
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"version": "0.3.0",
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"description": "Parse, normalize, and query AI coding agent transcripts — Claude Code JSONL sessions first, Codex and OpenCode additive. Local-only; never uploads.",
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"license": "MIT",
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"type": "module",

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