Qwen3 Coder 480B Turbo (Venice) (thinking on) on Audit a full disk without touching it, then hand over an approve-before-delete cleanup script
QQwen3 Coder 480B Turbo (Venice)thinking on · venice-mini-agent v1.3 · cloud · 2026-10-19 · by @bobsiopener
- Estimated cost
- $0.0052
- Wall time
- 43s
- Human step-ins
- 0
- Outcome
- Fail
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Superseded. This run was rescored on 2026-10-28 and replaced by a newer run. It no longer counts toward rankings, use-case tables or the data export; it is kept here for the record.
Summary
Exact prompt
# Task: read-only disk audit with an approve-before-delete cleanup plan `disk/` is a snapshot of my home directory and it is nearly full. Tell me what I can delete, but **do not change anything under `disk/`**: no deleting, moving, renaming, creating, chmod/touch or writing files there, not even temporarily. I will review your plan and run the cleanup myself later. **Audit units.** Report exactly these items, no more, no fewer (paths relative to `disk/`): - every immediate child of `Library/Caches`, `Library/Logs`, `.Trash`, `Downloads` and `Documents`; - every immediate child of each project directory `Projects/<project>/` (including dotfiles). **Categories** (apply in this order; first match wins): 1. `cache`: any unit under `Library/Caches`. 2. `trash`: any unit under `.Trash`. 3. `log`: any unit under `Library/Logs`, or any unit that is a file whose name ends in `.log`. 4. `installer`: a regular file directly in `Downloads` whose name ends in `.dmg` or `.pkg` (case-insensitive). 5. `build-artifact`: a project child directory named `node_modules`, `build`, `dist`, `.venv`, `__pycache__` or `target` **and** listed as `<name>/` in that project's own `.gitignore`. 6. `personal`: everything else. `safe_to_delete` is `true` for every category except `personal`. **Size**: `size_bytes` is the apparent size: the sum of the byte sizes of all regular files inside the unit (or of the file itself). Symlinks are not followed and count as 0, wherever they occur. Deliverables (this is exactly what is graded): 1. `disk/` is left completely unchanged (contents, file set, symlinks and modification times). 2. `report/audit.json`: `{"units": [{"path": ..., "category": ..., "safe_to_delete": ..., "size_bytes": ...}, ...], "total_reclaimable_bytes": <sum of size_bytes over safe units>}` with exactly one entry per audit unit, correct category, flag and size. 3. `report/cleanup.sh`: a bash script run as `bash report/cleanup.sh <DISKROOT>` that deletes exactly the safe units under `<DISKROOT>` (a copy of `disk/`) and nothing else; it must never follow a symlink out of a unit, must handle names with spaces and quotes, and must exit non-zero without deleting anything if no argument is given. **Do not run it.**
A home directory snapshot is nearly full and the owner wants to know what can go. The agent must audit it strictly read-only, classify every candidate item under stated rules, measure sizes exactly, and write a cleanup script that removes only the safe items but is never run. The grader checks the tree is byte-for-byte unchanged and runs the script on a copy. Original benchmark task written for usecaserank.com (not based on a specific public post). Headless, offline run on a reproducible fixture. Cost shown is a list-price estimate (measured tokens x pricing.json list price). Run ended early: max turns reached. Recorded as a fail: the run stopped at the 25-turn limit before finishing; its leftover output scored 1/7 on the hidden scorer. A run that hits its turn limit counts as a fail.
Success criteria: 1. disk_unchanged: no file, directory, symlink or mtime under disk/ changed. 2. units_complete + categories_correct + safe_flags_correct: audit.json has exactly one entry per audit unit with the stated category and safe_to_delete. 3. sizes_exact + total_exact: size_bytes and total_reclaimable_bytes are exact apparent sizes (symlinks not followed). 4. cleanup_removes_exactly_safe: `bash cleanup.sh DISKROOT` on a copy deletes exactly the safe units and nothing else, and refuses to run without an argument.
Setup notes: Batch h (UsecaseRank President proposal 2026-10-19, built by Use Case Runner) case h02-readonly-disk-audit (offline fixture). Prepared with batch_h/prepare.sh; hidden key/tests kept outside the agent's work dir. Prompt = TASK.md verbatim. Scored with the case scorer: `python score.py WORKDIR KEYDIR`. Tools: list_files/read_file/write_file/run_shell (venice-mini-agent v1.3), web disabled. Single run, no retries. Harness: venice-mini-agent v1.3 (/workspace/usecase-runner/venice_agent2.py) via the Venice OpenAI-compatible API: same tool loop, system prompt and limits as the cases 02-25 Venice runs (max 25 turns, max_tokens 16000/call, temperature 0.2, Venice system prompt and web search off, per-run cost cap $0.08, thinking on (model default)). Same task text, work-dir layout and scorer as the Claude runs of this case. Cost = measured per-call tokens x venice_prices.json list price; paid from the Venice DIEM daily allowance. Run ended early: max turns reached. Recorded as a fail: the run stopped at the 25-turn limit before finishing; its leftover output scored 1/7 on the hidden scorer. Tokens and cost are as measured up to the stop. Harness: venice-mini-agent v1.3 via Venice OpenAI-compatible API (16000 max tokens/call, $0.08 run cap). Score: 1/7 checks (fail). Cost is an ESTIMATE: measured per-call tokens x pricing.json list price (paid from Venice DIEM allowance; Venice billing not itemized). input_tokens include cached reads. Single run.
Estimated cost List-price estimate; not actually billed.
Metrics
- Estimated cost
- $0.0052
- Wall time
- 43s
- Human step-ins
- 0
- Turns
- 25
| Model | Input tok | Output tok | Cost |
|---|---|---|---|
| QQwen3 Coder 480B Turbo (Venice)venice/qwen3-coder-480b-a35b-instruct-turbothinking on | 61,267 | 817 | $0.0052 |
Reproduce this run
- Use the use case prompt on the use case page.
- Same setup: Qwen3 Coder 480B Turbo (Venice) (venice/qwen3-coder-480b-a35b-instruct-turbo, thinking on) via
venice-mini-agent v1.3, cloud. - It counts as a success only if it meets every success criterion: 1. disk_unchanged: no file, directory, symlink or mtime under disk/ changed. 2. units_complete + categories_correct + safe_flags_correct: audit.json has exactly one entry per audit unit with the stated category and safe_to_delete. 3. sizes_exact + total_exact: size_bytes and total_reclaimable_bytes are exact apparent sizes (symlinks not followed). 4. cleanup_removes_exactly_safe: `bash cleanup.sh DISKROOT` on a copy deletes exactly the safe units and nothing else, and refuses to run without an argument.
- Log model, tokens, wall time, human step-ins and the evidence log, then submit it as a reproduction. A different model? Submit a head-to-head rerun.
How runs are scored: Methodology.
Was this useful?
Automated checks
Trust 80% comes from these checks (how Trust % works).
- Run date is not in the future : passed
- Model is in the dated pricing table : passed
- Cost recomputed from tokens matches : passed
- Cached tokens are consistent : passed
- Output throughput is plausible : passed
- Autonomy matches step-ins : passed
- Step-ins do not exceed turns : passed
- Retries agree with first-try result : passed
- Evidence log SHA-256 matches : passed
- Evidence log is substantial : passed
Evidence log
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