chaliy · Oct 12, 2026 · Oct 12, 2026
diff --git a/README.md b/README.md
@@ -511,18 +511,21 @@ just pre-pr       # Pre-PR checks
 
 Bashkit includes a [mira eval study](crates/bashkit-eval/) that measures how well LLMs use bashkit: one tagged 88-task dataset (`bashkit_bash`) covering agent tool use (58 basic, 8 multi-turn repo, 10 hard) and 12 runtime tasks (python3, sqlite3, state on the VFS), plus a 15-task one-shot script generation eval (`bashkit_generate`).
 
-_Latest run: 2026-10-09, on the mira eval framework. GPT-6.1 Sol and GPT-6 Luna are pending a rerun on the 88-task set (their 58-task scores are in the [detailed results](crates/bashkit-eval/README.md#results))._
+_Latest run: 2026-10-09 (GPT-6 models added 2026-10-12), on the mira eval framework._
 
 | Model | Score | Tasks Passed | Basic | Repo | Hard | Runtime | Generate |
 |-------|-------|-------------|-------|------|------|---------|----------|
 | Claude Opus 5.5 | **99%** | **87/88** | **58/58** | 7/8 | **10/10** | **12/12** | 13/15 |
 | Kimi K3 | 98% | 86/88 | 57/58 | **8/8** | 9/10 | **12/12** | **15/15** |
 | Claude Sonnet 5.5 | 97% | 85/88 | 56/58 | **8/8** | 9/10 | **12/12** | **15/15** |
 | Muse Spark 1.3 Contributor | 95% | 84/88 | **58/58** | 5/8 | 9/10 | **12/12** | **15/15** |
+| GPT-6.1 Sol | 86% | 76/88 | 54/58 | 3/8 | 8/10 | 11/12 | 14/15 |
 | Gemini 3.8 Flash | 84% | 74/88 | 55/58 | 4/8 | 6/10 | 9/12 | 13/15 |
+| GPT-6 Luna | 81% | 71/88 | 53/58 | 1/8 | 5/10 | **12/12** | 14/15 |
 
 Repo and hard tasks carry most of the spread; the new runtime tasks (python3
-and sqlite3 inside the sandbox) separate only Gemini so far. See the [detailed analysis](crates/bashkit-eval/README.md#results).
+and sqlite3 inside the sandbox) are near-saturated, with only Gemini and GPT-6.1
+Sol missing any. See the [detailed analysis](crates/bashkit-eval/README.md#results).
 
 ```bash
 cargo install mira-cli       # one-time: the `mira` host CLI

diff --git a/crates/bashkit-eval/README.md b/crates/bashkit-eval/README.md
@@ -99,35 +99,38 @@ First run of the merged, tagged `bashkit_bash` dataset (mode=agent|runtime,
 difficulty=basic|repo|hard) and of `bashkit_generate`. Run folders:
 `results/mira/20261009T173925Z-a0a7` (`bashkit_bash`) and
 `results/mira/20261009T171610Z-2942` (`bashkit_generate`). GPT-6.1 Sol and
-GPT-6 Luna are not in this run: the OpenAI key ran out of credit mid-run, so
-resume both run folders with `mira run ... --resume <run_id>` once it is
-topped up.
-
-| Metric | Opus 5.5 | Kimi K3 | Sonnet 5.5 | Muse Spark 1.3 | Gemini 3.8 Flash |
-|--------|----------|---------|------------|----------------|------------------|
-| bashkit_bash (88) | **87/88** | 86/88 | 85/88 | 84/88 | 74/88 |
-| basic (58) | **58/58** | 57/58 | 56/58 | **58/58** | 55/58 |
-| repo (8) | 7/8 | **8/8** | **8/8** | 5/8 | 4/8 |
-| hard (10) | **10/10** | 9/10 | 9/10 | 9/10 | 6/10 |
-| runtime (12) | **12/12** | **12/12** | **12/12** | **12/12** | 9/12 |
-| bashkit_generate (15) | 13/15 | **15/15** | **15/15** | **15/15** | 13/15 |
-| Tool-call success | 92% | 92% | 92% | **97%** | 94% |
-| Tokens (in/out) | 628K / 102K | 974K / 192K | **519K / 79K** | 2639K / 679K | 1619K / 127K |
-| Duration | 18.3 min | 40.9 min | **13.1 min** | 119.3 min | 56.1 min |
+GPT-6 Luna were added on 2026-10-12 with `mira run ... --resume <run_id>`
+(the OpenAI key ran out of credit during the first pass).
+
+| Metric | Opus 5.5 | Kimi K3 | Sonnet 5.5 | Muse Spark 1.3 | GPT-6.1 Sol | Gemini 3.8 Flash | GPT-6 Luna |
+|--------|----------|---------|------------|----------------|-------------|------------------|------------|
+| bashkit_bash (88) | **87/88** | 86/88 | 85/88 | 84/88 | 76/88 | 74/88 | 71/88 |
+| basic (58) | **58/58** | 57/58 | 56/58 | **58/58** | 54/58 | 55/58 | 53/58 |
+| repo (8) | 7/8 | **8/8** | **8/8** | 5/8 | 3/8 | 4/8 | 1/8 |
+| hard (10) | **10/10** | 9/10 | 9/10 | 9/10 | 8/10 | 6/10 | 5/10 |
+| runtime (12) | **12/12** | **12/12** | **12/12** | **12/12** | 11/12 | 9/12 | **12/12** |
+| bashkit_generate (15) | 13/15 | **15/15** | **15/15** | **15/15** | 14/15 | 13/15 | 14/15 |
+| Tool-call success | 92% | 92% | 92% | **97%** | 88% | 94% | 84% |
+| Tokens (in/out) | 628K / 102K | 974K / 192K | 519K / 79K | 2639K / 679K | **275K / 42K** | 1619K / 127K | 497K / 82K |
+| Duration | 18.3 min | 40.9 min | **13.1 min** | 119.3 min | 17.8 min | 56.1 min | 18.8 min |
 
 Duration is the sum of per-task wall-clock time for `bashkit_bash`.
 
 #### Highlights
 
-1. **`hard_makefile_deps` is the hardest task**: Sonnet, Kimi, Muse and Gemini
-   all miss it; only Opus 5.5 solves it.
+1. **`hard_makefile_deps` is the hardest task**: only Opus 5.5 and GPT-6.1 Sol
+   solve it.
 2. **Runtime tasks are near-saturated** for the top four (12/12). Gemini misses
    `rt_sqlite_hr_report`, `rt_state_csvq_tool` and `rt_state_ledger_ingest`.
 3. **Repo tasks still split the field**: `repo_parallel_runner_masks_failure`
-   (masked background-job failures) defeats Opus, Muse and Gemini.
+   (masked background-job failures) defeats Opus, Muse, Gemini and both GPT-6
+   models; GPT-6 Luna passes 1 of 8 repo tasks, GPT-6.1 Sol 3.
+5. **GPT-6.1 Sol is the most token-frugal** (275K in, about half of Sonnet)
+   but has the lowest tool-call success after GPT-6 Luna.
 4. **Generate**: Opus misses `gen_assoc_inventory` and `gen_retry_backoff`
    (one reply had no script fence); Gemini misses `gen_csv_to_jsonl` and
-   `gen_semver_bump`.
+   `gen_semver_bump`; GPT-6.1 Sol misses `gen_batch_rename`, GPT-6 Luna
+   `gen_config_template`.
 
 ### 2026-10-09, 7-model lineup (58 tasks + 8 repo + 10 hard)
 

diff --git a/.../cases/bashkit_5fgenerate_2fgen_5fassoc_5finventory_40openai_2fgpt_2d6_2dluna/result.json b/.../cases/bashkit_5fgenerate_2fgen_5fassoc_5finventory_40openai_2fgpt_2d6_2dluna/result.json
@@ -0,0 +1,63 @@
+{
+  "eval": "bashkit_generate",
+  "sample": "gen_assoc_inventory",
+  "target": "openai/gpt-6-luna",
+  "input": [
+    "Write a bash script (use bash associative arrays) that aggregates an inventory.\n\nStarting files:\n--- /home/eval/data/inventory.txt ---\n# warehouse sku qty\nberlin bolt 120\nparis nut 40\nberlin nut 15\nlyon bolt 30\nparis  bolt 5\nberlin washer 300\nlyon nut 0\n--- end ---\n\nLines starting with `#` are comments; fields are separated by one or more spaces.\n\n1. Write /home/eval/data/sku_totals.txt: one line `SKU TOTAL_QTY` per SKU, sorted by SKU.\n2. Write /home/eval/data/warehouses.txt: one line `WAREHOUSE N` per warehouse, sorted by warehouse, where N is the number of distinct SKUs that warehouse holds with qty > 0.\nExit 0."
+  ],
+  "passed": true,
+  "aggregate": 1.0,
+  "scores": [
+    {
+      "scorer": "bashkit_expectations",
+      "value": 1.0,
+      "pass": true,
+      "reason": "3/3 checks passed (weighted rate 100%)"
+    }
+  ],
+  "transcript": {
+    "final_response": "```bash\n#!/usr/bin/env bash\n\ninput=/home/eval/data/inventory.txt\ndata_dir=/home/eval/data\nsku_tmp=\"$data_dir/.sku_totals.tmp\"\nwarehouse_tmp=\"$data_dir/.warehouses.tmp\"\n\ndeclare -A totals=()\ndeclare -A warehouse_counts=()\ndeclare -A positive_pairs=()\n\nwhile read -r warehouse sku qty _; do\n    [[ -z $warehouse || $warehouse == \\#* ]] && continue\n    [[ -z $sku || -z $qty ]] && continue\n\n    qty_num=$((10#$qty))\n    totals[\"$sku\"]=$((${totals[$sku]:-0} + qty_num))\n\n    if (( qty_num > 0 )); then\n        pair=\"$warehouse|$sku\"\n        if [[ -z ${positive_pairs[$pair]+present} ]]; then\n            positive_pairs[\"$pair\"]=1\n            warehouse_counts[\"$warehouse\"]=$((${warehouse_counts[$warehouse]:-0} + 1))\n        fi\n    fi\ndone < \"$input\"\n\n: > \"$sku_tmp\"\nfor sku in \"${!totals[@]}\"; do\n    printf '%s %s\\n' \"$sku\" \"${totals[$sku]}\" >> \"$sku_tmp\"\ndone\nsort -k1,1 \"$sku_tmp\" > \"$data_dir/sku_totals.txt\"\n\n: > \"$warehouse_tmp\"\nfor warehouse in \"${!warehouse_counts[@]}\"; do\n    printf '%s %s\\n' \"$warehouse\" \"${warehouse_counts[$warehouse]}\" >> \"$warehouse_tmp\"\ndone\nsort -k1,1 \"$warehouse_tmp\" > \"$data_dir/warehouses.txt\"\n\nrm -f \"$sku_tmp\" \"$warehouse_tmp\"\nexit 0\n```",
+    "iterations": 1,
+    "tool_calls_count": 1,
+    "tool_calls": [
+      "#!/usr/bin/env bash\n\ninput=/home/eval/data/inventory.txt\ndata_dir=/home/eval/data\nsku_tmp=\"$data_dir/.sku_totals.tmp\"\nwarehouse_tmp=\"$data_dir/.warehouses.tmp\"\n\ndeclare -A totals=()\ndeclare -A warehouse_counts=()\ndeclare -A positive_pairs=()\n\nwhile read -r warehouse sku qty _; do\n    [[ -z $warehouse || $warehouse == \\#* ]] && continue\n    [[ -z $sku || -z $qty ]] && continue\n\n    qty_num=$((10#$qty))\n    totals[\"$sku\"]=$((${totals[$sku]:-0} + qty_num))\n\n    if (( qty_num > 0 )); then\n        pair=\"$warehouse|$sku\"\n        if [[ -z ${positive_pairs[$pair]+present} ]]; then\n            positive_pairs[\"$pair\"]=1\n            warehouse_counts[\"$warehouse\"]=$((${warehouse_counts[$warehouse]:-0} + 1))\n        fi\n    fi\ndone < \"$input\"\n\n: > \"$sku_tmp\"\nfor sku in \"${!totals[@]}\"; do\n    printf '%s %s\\n' \"$sku\" \"${totals[$sku]}\" >> \"$sku_tmp\"\ndone\nsort -k1,1 \"$sku_tmp\" > \"$data_dir/sku_totals.txt\"\n\n: > \"$warehouse_tmp\"\nfor warehouse in \"${!warehouse_counts[@]}\"; do\n    printf '%s %s\\n' \"$warehouse\" \"${warehouse_counts[$warehouse]}\" >> \"$warehouse_tmp\"\ndone\nsort -k1,1 \"$warehouse_tmp\" > \"$data_dir/warehouses.txt\"\n\nrm -f \"$sku_tmp\" \"$warehouse_tmp\"\nexit 0\n"
+    ],
+    "usage": {
+      "input_tokens": 469,
+      "output_tokens": 1125,
+      "cost_usd": 0.0
+    },
+    "timing": {
+      "duration_ms": 12288
+    },
+    "metrics": {
+      "exec_ms": 10.0,
+      "exit_code": 0.0,
+      "extracted": 1.0,
+      "generate_ms": 12278.0,
+      "script_bytes": 1163.0,
+      "script_found": 1.0,
+      "timed_out": 0.0
+    },
+    "metadata": {
+      "bashkit": {
+        "dirs": [],
+        "last_exit_code": 0,
+        "links": {},
+        "tool_outputs": [
+          {
+            "commands": "#!/usr/bin/env bash\n\ninput=/home/eval/data/inventory.txt\ndata_dir=/home/eval/data\nsku_tmp=\"$data_dir/.sku_totals.tmp\"\nwarehouse_tmp=\"$data_dir/.warehouses.tmp\"\n\ndeclare -A totals=()\ndeclare -A warehouse_counts=()\ndeclare -A positive_pairs=()\n\nwhile read -r warehouse sku qty _; do\n    [[ -z $warehouse || $warehouse == \\#* ]] && continue\n    [[ -z $sku || -z $qty ]] && continue\n\n    qty_num=$((10#$qty))\n    totals[\"$sku\"]=$((${totals[$sku]:-0} + qty_num))\n\n    if (( qty_num > 0 )); then\n        pair=\"$warehouse|$sku\"\n        if [[ -z ${positive_pairs[$pair]+present} ]]; then\n            positive_pairs[\"$pair\"]=1\n            warehouse_counts[\"$warehouse\"]=$((${warehouse_counts[$warehouse]:-0} + 1))\n        fi\n    fi\ndone < \"$input\"\n\n: > \"$sku_tmp\"\nfor sku in \"${!totals[@]}\"; do\n    printf '%s %s\\n' \"$sku\" \"${totals[$sku]}\" >> \"$sku_tmp\"\ndone\nsort -k1,1 \"$sku_tmp\" > \"$data_dir/sku_totals.txt\"\n\n: > \"$warehouse_tmp\"\nfor warehouse in \"${!warehouse_counts[@]}\"; do\n    printf '%s %s\\n' \"$warehouse\" \"${warehouse_counts[$warehouse]}\" >> \"$warehouse_tmp\"\ndone\nsort -k1,1 \"$warehouse_tmp\" > \"$data_dir/warehouses.txt\"\n\nrm -f \"$sku_tmp\" \"$warehouse_tmp\"\nexit 0\n",
+            "exit_code": 0,
+            "stderr": "",
+            "stdout": ""
+          }
+        ]
+      },
+      "generate": {
+        "extraction": "fenced",
+        "timed_out": false
+      }
+    }
+  },
+  "skipped": false
+}
diff --git a/...ses/bashkit_5fgenerate_2fgen_5fassoc_5finventory_40openai_2fgpt_2d6_2e1_2dsol/result.json b/...ses/bashkit_5fgenerate_2fgen_5fassoc_5finventory_40openai_2fgpt_2d6_2e1_2dsol/result.json
@@ -0,0 +1,63 @@
+{
+  "eval": "bashkit_generate",
+  "sample": "gen_assoc_inventory",
+  "target": "openai/gpt-6.1-sol",
+  "input": [
+    "Write a bash script (use bash associative arrays) that aggregates an inventory.\n\nStarting files:\n--- /home/eval/data/inventory.txt ---\n# warehouse sku qty\nberlin bolt 120\nparis nut 40\nberlin nut 15\nlyon bolt 30\nparis  bolt 5\nberlin washer 300\nlyon nut 0\n--- end ---\n\nLines starting with `#` are comments; fields are separated by one or more spaces.\n\n1. Write /home/eval/data/sku_totals.txt: one line `SKU TOTAL_QTY` per SKU, sorted by SKU.\n2. Write /home/eval/data/warehouses.txt: one line `WAREHOUSE N` per warehouse, sorted by warehouse, where N is the number of distinct SKUs that warehouse holds with qty > 0.\nExit 0."
+  ],
+  "passed": true,
+  "aggregate": 1.0,
+  "scores": [
+    {
+      "scorer": "bashkit_expectations",
+      "value": 1.0,
+      "pass": true,
+      "reason": "3/3 checks passed (weighted rate 100%)"
+    }
+  ],
+  "transcript": {
+    "final_response": "```bash\n#!/usr/bin/env bash\n\ndeclare -A sku_totals=()\ndeclare -A warehouse_counts=()\ndeclare -A positive_pairs=()\n\nwhile read -r warehouse sku qty; do\n    [[ -z \"$warehouse\" || \"$warehouse\" == \\#* ]] && continue\n\n    sku_totals[\"$sku\"]=$(( ${sku_totals[\"$sku\"]:-0} + qty ))\n    warehouse_counts[\"$warehouse\"]=${warehouse_counts[\"$warehouse\"]:-0}\n\n    pair=\"$warehouse|$sku\"\n    if (( qty > 0 )) && [[ -z \"${positive_pairs[\"$pair\"]:-}\" ]]; then\n        positive_pairs[\"$pair\"]=1\n        warehouse_counts[\"$warehouse\"]=$(( ${warehouse_counts[\"$warehouse\"]} + 1 ))\n    fi\ndone < /home/eval/data/inventory.txt\n\nexport LC_ALL=C\n\n{\n    for sku in \"${!sku_totals[@]}\"; do\n        printf '%s %s\\n' \"$sku\" \"${sku_totals[\"$sku\"]}\"\n    done\n} | sort > /home/eval/data/sku_totals.txt\n\n{\n    for warehouse in \"${!warehouse_counts[@]}\"; do\n        printf '%s %s\\n' \"$warehouse\" \"${warehouse_counts[\"$warehouse\"]}\"\n    done\n} | sort > /home/eval/data/warehouses.txt\n\nexit 0\n```",
+    "iterations": 1,
+    "tool_calls_count": 1,
+    "tool_calls": [
+      "#!/usr/bin/env bash\n\ndeclare -A sku_totals=()\ndeclare -A warehouse_counts=()\ndeclare -A positive_pairs=()\n\nwhile read -r warehouse sku qty; do\n    [[ -z \"$warehouse\" || \"$warehouse\" == \\#* ]] && continue\n\n    sku_totals[\"$sku\"]=$(( ${sku_totals[\"$sku\"]:-0} + qty ))\n    warehouse_counts[\"$warehouse\"]=${warehouse_counts[\"$warehouse\"]:-0}\n\n    pair=\"$warehouse|$sku\"\n    if (( qty > 0 )) && [[ -z \"${positive_pairs[\"$pair\"]:-}\" ]]; then\n        positive_pairs[\"$pair\"]=1\n        warehouse_counts[\"$warehouse\"]=$(( ${warehouse_counts[\"$warehouse\"]} + 1 ))\n    fi\ndone < /home/eval/data/inventory.txt\n\nexport LC_ALL=C\n\n{\n    for sku in \"${!sku_totals[@]}\"; do\n        printf '%s %s\\n' \"$sku\" \"${sku_totals[\"$sku\"]}\"\n    done\n} | sort > /home/eval/data/sku_totals.txt\n\n{\n    for warehouse in \"${!warehouse_counts[@]}\"; do\n        printf '%s %s\\n' \"$warehouse\" \"${warehouse_counts[\"$warehouse\"]}\"\n    done\n} | sort > /home/eval/data/warehouses.txt\n\nexit 0\n"
+    ],
+    "usage": {
+      "input_tokens": 469,
+      "output_tokens": 395,
+      "cost_usd": 0.0
+    },
+    "timing": {
+      "duration_ms": 8415
+    },
+    "metrics": {
+      "exec_ms": 8.0,
+      "exit_code": 0.0,
+      "extracted": 1.0,
+      "generate_ms": 8407.0,
+      "script_bytes": 951.0,
+      "script_found": 1.0,
+      "timed_out": 0.0
+    },
+    "metadata": {
+      "bashkit": {
+        "dirs": [],
+        "last_exit_code": 0,
+        "links": {},
+        "tool_outputs": [
+          {
+            "commands": "#!/usr/bin/env bash\n\ndeclare -A sku_totals=()\ndeclare -A warehouse_counts=()\ndeclare -A positive_pairs=()\n\nwhile read -r warehouse sku qty; do\n    [[ -z \"$warehouse\" || \"$warehouse\" == \\#* ]] && continue\n\n    sku_totals[\"$sku\"]=$(( ${sku_totals[\"$sku\"]:-0} + qty ))\n    warehouse_counts[\"$warehouse\"]=${warehouse_counts[\"$warehouse\"]:-0}\n\n    pair=\"$warehouse|$sku\"\n    if (( qty > 0 )) && [[ -z \"${positive_pairs[\"$pair\"]:-}\" ]]; then\n        positive_pairs[\"$pair\"]=1\n        warehouse_counts[\"$warehouse\"]=$(( ${warehouse_counts[\"$warehouse\"]} + 1 ))\n    fi\ndone < /home/eval/data/inventory.txt\n\nexport LC_ALL=C\n\n{\n    for sku in \"${!sku_totals[@]}\"; do\n        printf '%s %s\\n' \"$sku\" \"${sku_totals[\"$sku\"]}\"\n    done\n} | sort > /home/eval/data/sku_totals.txt\n\n{\n    for warehouse in \"${!warehouse_counts[@]}\"; do\n        printf '%s %s\\n' \"$warehouse\" \"${warehouse_counts[\"$warehouse\"]}\"\n    done\n} | sort > /home/eval/data/warehouses.txt\n\nexit 0\n",
+            "exit_code": 0,
+            "stderr": "",
+            "stdout": ""
+          }
+        ]
+      },
+      "generate": {
+        "extraction": "fenced",
+        "timed_out": false
+      }
+    }
+  },
+  "skipped": false
+}
diff --git a/...942/cases/bashkit_5fgenerate_2fgen_5fbatch_5frename_40openai_2fgpt_2d6_2dluna/result.json b/...942/cases/bashkit_5fgenerate_2fgen_5fbatch_5frename_40openai_2fgpt_2d6_2dluna/result.json
@@ -0,0 +1,63 @@
+{
+  "eval": "bashkit_generate",
+  "sample": "gen_batch_rename",
+  "target": "openai/gpt-6-luna",
+  "input": [
+    "Write a bash script that normalises photo file names.\n\nStarting files (contents shown; names contain spaces where shown):\n--- /home/eval/photos/IMG_0001.JPG ---\na\n--- end ---\n--- /home/eval/photos/IMG_0002.JPG ---\nb\n--- end ---\n--- /home/eval/photos/IMG 0003.JPG ---\nc\n--- end ---\n--- /home/eval/photos/notes.txt ---\nn\n--- end ---\n--- /home/eval/photos/Raw/IMG_0004.JPG ---\nd\n--- end ---\n--- /home/eval/photos/Raw/Old Shots/DSC 9.JPG ---\ne\n--- end ---\n\nFor every file whose name ends in `.JPG`, anywhere under /home/eval/photos (recursively), rename it in place (same directory) so that its file name is lowercase and every space in the file name becomes `_`. Directory names must NOT change (`Raw` and `Old Shots` keep their names). Other files are left alone. Exit 0."
+  ],
+  "passed": true,
+  "aggregate": 1.0,
+  "scores": [
+    {
+      "scorer": "bashkit_expectations",
+      "value": 1.0,
+      "pass": true,
+      "reason": "7/7 checks passed (weighted rate 100%)"
+    }
+  ],
+  "transcript": {
+    "final_response": "```bash\n#!/usr/bin/env bash\n\nfind /home/eval/photos -type f -name '*.JPG' -print |\nwhile IFS= read -r path; do\n    dir=${path%/*}\n    name=${path##*/}\n    normalized=$(printf '%s' \"$name\" | tr '[:upper:]' '[:lower:]')\n    normalized=${normalized// /_}\n    mv -- \"$path\" \"$dir/$normalized\"\ndone\n\nexit 0\n```",
+    "iterations": 1,
+    "tool_calls_count": 1,
+    "tool_calls": [
+      "#!/usr/bin/env bash\n\nfind /home/eval/photos -type f -name '*.JPG' -print |\nwhile IFS= read -r path; do\n    dir=${path%/*}\n    name=${path##*/}\n    normalized=$(printf '%s' \"$name\" | tr '[:upper:]' '[:lower:]')\n    normalized=${normalized// /_}\n    mv -- \"$path\" \"$dir/$normalized\"\ndone\n\nexit 0\n"
+    ],
+    "usage": {
+      "input_tokens": 503,
+      "output_tokens": 431,
+      "cost_usd": 0.0
+    },
+    "timing": {
+      "duration_ms": 4893
+    },
+    "metrics": {
+      "exec_ms": 7.0,
+      "exit_code": 0.0,
+      "extracted": 1.0,
+      "generate_ms": 4886.0,
+      "script_bytes": 294.0,
+      "script_found": 1.0,
+      "timed_out": 0.0
+    },
+    "metadata": {
+      "bashkit": {
+        "dirs": [],
+        "last_exit_code": 0,
+        "links": {},
+        "tool_outputs": [
+          {
+            "commands": "#!/usr/bin/env bash\n\nfind /home/eval/photos -type f -name '*.JPG' -print |\nwhile IFS= read -r path; do\n    dir=${path%/*}\n    name=${path##*/}\n    normalized=$(printf '%s' \"$name\" | tr '[:upper:]' '[:lower:]')\n    normalized=${normalized// /_}\n    mv -- \"$path\" \"$dir/$normalized\"\ndone\n\nexit 0\n",
+            "exit_code": 0,
+            "stderr": "",
+            "stdout": ""
+          }
+        ]
+      },
+      "generate": {
+        "extraction": "fenced",
+        "timed_out": false
+      }
+    }
+  },
+  "skipped": false
+}