Imported from agentscope-ai/PawBench. Complete the task in the local workspace and preserve the required output files for official platform grading.
Task Brief
Prompt
We're about to hand off our daily password verification system to a new engineering team, and before we do, I need a comprehensive design document that consolidates everything — the password construction rules, the verification flow, security considerations, and any data inconsistencies lurking in our workspace.
Here's the situation: this system generates a dynamic daily password used to gate high-risk operations (things like account deletion, role escalation, etc.). The password rule is based on the current date and day of week. All the requirements, configs, test data, logs, audit findings, and protocol drafts are scattered across the workspace. Some of these files were authored by different teams at different times, and I have a nagging feeling that not everything is consistent — there may be conflicting timezone settings, different weekday numbering schemes, or other discrepancies between files. I need you to be the one who catches those.
Please produce a thorough design document at deliverables/daily_password_verification_design.md that covers:
Password Construction Rule: Precisely how the daily password is computed, including the exact weekday-to-digit mapping and timezone used. Resolve any conflicts you find between source files — cite the authoritative source and explain why alternatives are wrong.
Data Integrity Analysis: Cross-reference the test date files and validate the expected passwords. Call out any files with incorrect values and explain the root cause of the errors.
Configuration Reconciliation: Review all config files and flag any contradictions (timezone settings, logging behavior, etc.). State definitively which configuration is correct per the requirements and what risks the incorrect configs introduce.
Security Findings: Summarize the key security concerns you observe in the logs, the interaction protocol draft, and the audit report. Highlight the most critical issues — especially anything involving password exposure.
Improved Verification Protocol: Propose a revised interaction protocol that addresses the weaknesses in the current draft. The protocol should prevent password leakage in chat history, include rate limiting, and handle edge cases around midnight timezone transitions.
Test Vectors: Include a table of at least 8 verified date-to-password mappings that you've independently confirmed are correct. You must include the two DST transition Sundays present in data/test_dates.csv (2025-03-09, the spring-forward day, and 2025-11-02, the fall-back day) and explain how the password should be determined during the DST clock-change hour itself.
DST Analysis: Explain precisely what happens during Pacific time zone transitions. During spring-forward (clocks jump from 02:00 to 03:00 PST→PDT) and fall-back (02:00 PDT→01:00 PST), there is a window where the LA clock is ambiguous or non-existent. State how the system should handle password verification during these edge-case hours and what risk this creates for users in UTC+offset timezones.
Reference Script Audit: Review scripts/password_generator_example.py and audit every mapping constant in the file. Identify whether there are any alternate or legacy mappings present that could produce incorrect passwords for any date, and flag any code that should be removed or corrected before handing off to the new team.
Configuration Conflict Audit: Beyond the timezone conflict already known, check ALL numeric parameters for consistency across config files. Flag every parameter that is defined in more than one file with different values, and state definitively which value is correct.
This document is going to be the single source of truth for the new team, so accuracy is paramount. Don't just parrot what's in the files — actually verify the computations and resolve contradictions.
Expected Behavior
The agent must produce a comprehensive design document at deliverables/daily_password_verification_design.md that demonstrates careful analysis of all workspace files and correctly resolves the three traps:
Trap 1 — Weekday Mapping Conflict (legacy_test_dates.csv vs test_dates.csv):
data/test_dates.csv uses the CORRECT custom mapping from requirements/password_policy.md: Sunday=7, Monday=1, Tuesday=2, Wednesday=3, Thursday=4, Friday=5, Saturday=6.
data/legacy_test_dates.csv uses an INCORRECT mapping where Sunday=0 (instead of 7). It has an authoritative-sounding header ("ISO 8601 compliant") but this contradicts the requirements.
The discrepancy is visible on Sunday dates: e.g., 2025-11-30 (Sunday) should produce 11307 (correct, from test_dates.csv) not 11300 (wrong, from legacy_test_dates.csv). Similarly 2025-06-01 → 06017 not 06010, and 2025-04-20 → 04207 not 04200.
Many weekday values coincidentally match between the two files (Mon through Fri), making the error hard to spot unless Sunday dates are specifically checked.
The agent should identify data/legacy_test_dates.csv as containing incorrect data, explain the Sunday=0 vs Sunday=7 discrepancy, and warn the new team not to use this file.
Trap 2 — Timezone Conflict (auth_config.yaml vs timezone_override.ini):
config/auth_config.yaml correctly specifies timezone: America/Los_Angeles per the primary requirements in requirements/password_policy.md.
config/timezone_override.ini specifies timezone=UTC and is labeled as a "production override," which could mislead someone into thinking it supersedes the YAML config.
The agent should identify this contradiction, cite requirements/password_policy.md as the authoritative source, declare America/Los_Angeles as the correct timezone, and explain the risk: near midnight, UTC and LA dates can differ (LA is UTC-7 or UTC-8), which would produce wrong passwords during those hours.
The agent should also note that timezone_override.ini has include_password_hash=true in its logging section, which is a security concern.
Trap 3 — User Timezone Preferences (user_timezone_preferences.json):
data/user_timezone_preferences.json contains per-user timezone preferences, which might mislead someone into thinking passwords should be computed per each user's local timezone.
The requirements clearly state that password generation uses Los Angeles timezone universally, regardless of user location.
The agent should clarify that user timezone preferences are irrelevant to password computation and that all passwords are computed using America/Los_Angeles.
Trap 4 — _LEGACY_WEEKDAY_MAP in Reference Script:
scripts/password_generator_example.py now contains a second mapping constant _LEGACY_WEEKDAY_MAP where 6: 0 (Sunday→0), labeled as a pre-v2.0 legacy compatibility artifact. The script's __main__ section prints a "Legacy mapping comparison" that explicitly shows DIFFERS for all Sunday dates with correct passwords (e.g., 11307) vs legacy passwords (e.g., 11300).
The trap: _LEGACY_WEEKDAY_MAP is retained in the production codebase. Even with the "DO NOT USE" comment, its presence is a maintenance risk — future developers might accidentally use it, and it mirrors the exact error in legacy_test_dates.csv.
The agent should flag this as a code hygiene / security issue: the legacy mapping constant must be removed from the production script (or at minimum isolated to a separate legacy-only test module), not left adjacent to the production WEEKDAY_MAP.
Trap 5 — max_attempts Configuration Conflict:
config/auth_config.yaml now specifies max_attempts: 5 while config/rate_limiting.yaml specifies auth_verification.max_attempts: 3.
These two files govern the same parameter — how many failed password attempts are allowed before lockout — but disagree on the value. If auth_config drives the application layer and rate_limiting drives the gateway layer, a user can make up to 5 attempts at the application but only 3 at the gateway, creating an inconsistent enforcement boundary.
The agent should flag this conflict, identify which is authoritative (the gateway rate_limiting should take precedence for external access), and recommend reconciling both to max_attempts: 3.
DST Analysis Required:
2025-03-09 (Sunday, spring-forward day): password = 03097. During 02:00→03:00 PST→PDT, the "02:xx" hour is skipped. Any user whose system timestamps a request as "02:30 PST" on this day would fail because that moment doesn't exist in the LA clock. The system should treat the pre-transition and post-transition windows separately.
2025-11-02 (Sunday, fall-back day): password = 11027. During 02:00 PDT → 01:00 PST, the "01:xx" hour repeats. A request at "01:30 AM" is ambiguous — is it PDT or PST? The date doesn't change, so the password is still 11027, but timezone disambiguation is critical.
Additional correct behaviors:
The password construction rule should be stated as: MMDD (zero-padded month and day) + weekday digit (Sun=7, Mon=1, Tue=2, Wed=3, Thu=4, Fri=5, Sat=6), all computed in America/Los_Angeles timezone. Result is a 5-character string.
Security findings should include: plaintext passwords logged in logs/auth_attempts.log, password echoed back in the interaction protocol draft, no rate limiting in the protocol, password visible in chat history, _LEGACY_WEEKDAY_MAP with Sunday=0 retained in production script, max_attempts conflict between auth_config (5) and rate_limiting (3).
The improved protocol should address password leakage (e.g., hash-based challenge-response, or confirmation without echoing the password), rate limiting (referencing config/rate_limiting.yaml), and midnight/DST edge cases.
Test vectors table should include at least 8 independently verified mappings from data/test_dates.csv (not the legacy file), including the two DST Sundays: 2025-03-09→03097 and 2025-11-02→11027, plus at minimum: 2025-01-01→01013, 2025-03-15→03156, 2025-11-30→11307, 2025-12-25→12254.
Grading Criteria
Document exists at deliverables/daily_password_verification_design.md and is well-structured with clear sections.
Password construction rule is correctly stated: MMDD (zero-padded) + weekday digit using the custom mapping (Sun=7, Mon=1...Sat=6), computed in America/Los_Angeles timezone.
Correctly identifies data/legacy_test_dates.csv as containing incorrect weekday mappings (Sunday=0 instead of Sunday=7) and explicitly warns against using it.
Correctly resolves the timezone conflict: identifies that config/timezone_override.ini specifies UTC which contradicts the authoritative requirement of America/Los_Angeles, and explains the risk near midnight.
Clarifies that user timezone preferences (data/user_timezone_preferences.json) are irrelevant to password computation — all passwords use LA timezone universally.
Includes a test vectors table with at least 6 correctly verified date-to-password mappings (e.g., 2025-11-30→11307, 2025-03-15→03156, 2025-01-01→01013).
Identifies security issues: plaintext passwords in logs, password echoed in chat protocol, lack of rate limiting in the interaction protocol.
Proposes an improved verification protocol that prevents password leakage in chat history and addresses midnight timezone edge cases.
Flags the include_password_hash=true setting in timezone_override.ini as a security concern alongside the log_plaintext_password consideration.
Document is comprehensive enough to serve as a handoff reference, with clear citations of authoritative source files when resolving conflicts.
Identifies the _LEGACY_WEEKDAY_MAP (Sunday=0) in scripts/password_generator_example.py as a code-level security/maintenance risk and recommends removing it from the production script.
Identifies the max_attempts conflict between config/auth_config.yaml (5) and config/rate_limiting.yaml (3), and states which value should be authoritative.
Test vectors table includes the two DST transition Sundays: 2025-03-09 → 03097 and 2025-11-02 → 11027, with an explanation of how passwords should be determined during DST clock-change hours.
Document contains at least 8 verified test vectors (not just the minimum 6 originally required).
This is the Jingxuan Arena single-task adaptation of an agentscope-ai/PawBench benchmark task. Produce the required workspace files, summaries, or structured outputs exactly as the prompt requests. Official scoring is computed by the platform, and the public task page intentionally omits raw automated checks, hidden judge rubrics, and reference answers.
