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Annual Report Audit Across Provincial Departments

GEN-CN5-001 · 12 annual reports · table reconciliation · three dispositions

Four departments, three years, twelve annual reports, audited one by one against the national format notice: find internal reconciliations that fail, figures that disagree with the narrative, and carry-forward breaks, then file each report as usable, needs clarification, or needs correction.

Open governmentAnnual report auditCross-table checksDispositions
1313 files
68Kcharacters of material
15scoring criteria
41agent turns in the longest reference rollout
2.63Mcumulative prompt tokens in one rollout
01

Highlights

Errors come in three layers

A table whose columns do not add up, a narrative that disagrees with its own table, and a carry-forward break between adjacent years each need a different check — reading end to end finds none of them.

The disposition has to be executable

For a correction, name the year, the table item and the correct figure. A finding that stops at the department level fails.

Twelve reports means twelve conclusions

Every report needs a verdict; leaving any one out loses points. This is about completeness, not workload.

Three-model mean score 0.3968

Three models answered under the same criteria for a mean of 0.3968, the lowest in the set. Every one of the twelve reports needs a verdict; skipping one loses points.

02

Instruction excerpt

An excerpt of the instruction the agent actually receives, showing the task setup and constraints.

instruction.md · 1,771 chars

You work in the open-government office of a provincial government. Before consolidating the province's annual open-government reports, the office audits twelve reports from four provincial departments across three years, as the national format notice requires the supervising office to review annual reports before consolidation.

Audit all twelve reports against the format notice and the departments' own reports, produce an audit workbook and an audit opinion for the office head.

The opinion must state

  • which reports can go straight into the consolidated summary;
  • which need clarification from the department;
  • which need correction and republication — naming the year, the item and the correct figure.

Conclude only from the source files; where a source file does not disclose something, write 'not disclosed in the source', and do not infer causes or invent data.

NOTEEnglish translation of the original Chinese instruction; the table of thirteen source files and the required deliverable columns are omitted.

03

Attachments

Everything visible inside the agent container, with statistics generated from the task package. Original files ship with the full sample package.

FileTypeSizeBytes
01_西岭省公安厅2023年政府信息公开工作年度报告.mdmd5,514 chars12 KB
02_西岭省公安厅2024年政府信息公开工作年度报告.mdmd5,613 chars13 KB
03_西岭省公安厅2025年政府信息公开工作年度报告.mdmd5,516 chars12 KB
04_西岭省财政厅2023年政府信息公开工作年度报告.mdmd5,067 chars11 KB
05_西岭省财政厅2024年政府信息公开工作报告.mdmd5,179 chars12 KB
06_西岭省财政厅2025年政府信息公开工作报告.mdmd5,196 chars12 KB
07_西岭省交通运输厅2023年政府信息公开工作年度报告.mdmd5,169 chars12 KB
08_西岭省交通运输厅2024年政府信息公开工作年度报告.mdmd5,234 chars12 KB
09_西岭省交通运输厅2025年政府信息公开工作年度报告.mdmd6,261 chars14 KB
10_西岭省农业农村厅2023年政府信息公开工作年度报告.mdmd5,530 chars12 KB
11_西岭省农业农村厅2024年政府信息公开工作年度报告.mdmd5,014 chars11 KB
12_西岭省农业农村厅2025年政府信息公开工作年度报告.mdmd4,884 chars11 KB
13_政府信息公开工作年度报告格式.mdNational annual-report format notice, full textmd3,577 chars10 KB
04

Scoring design

15independent scoring criteria
14 scoring items1 penalty items

Full criteria text, weights and reference answers ship with the complete data package.

15 criteria: 14 binary plus 1 five-level item, with five on conclusion correctness.

  • 15 criteria: 14 positive scoring items and 1 penalty items (negate)
  • Each criterion is judged separately by an agent judge (individual mode), reproducible and auditable
  • Judge credentials are injected only into the verifier; the agent container has no scoring channel
  • Full criteria text and reference answers ship with the complete data package
Conclusion correctness5
Numerical accuracy4
Argument quality2
Instruction following2
Professional standards1
Factual faithfulness1
05

Model results

Trajectory statistics from frontier models in real agent harnesses. One turn is one model call; the context curve shows how state accumulates over a long-horizon task.

ModelAgent turnsTool callsCumulative prompt tokensPeak contextTimeResult
GPT-5.6-solCodex · Harbor41332.63M——Completed
Claude Opus 4.8Claude Code · Harbor1428888K104K—Completed
Qwen3.8-MaxClaude Code · Harbor1623———Completed
063K125Kturn 1turn 14
Claude Opus 4.8Y: context tokens per turn · X: agent turn
06

Specification

TASK SPECIFICATION
Task IDGEN-CN5-001
Task formatHarbor task.toml · schema 1.4
Package version1.0.0
Agent time limit20 h
Verifier time limit5 h
Agent container2 vCPU · 8 GB memory · 30 GB storage
NetworkOnly for agent harness installation
Tool setfilesystem · shell · python
Scoring isolationSeparate verifier containerJudge credentials are injected only into the verifier and are invisible to the agent
Instruction length1,771 characters
DifficultyA3 (three-model mean 0.3968)
Reference solutionall gates 84/84, reward 1.000
Material size13 Markdown files · 4 departments × 3 years
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