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chini-train-train-0369-dp5-adversarial

Free-Tier Signup Under Throwaway-Account Flood

brutal adversarial problem: free-tier signup under throwaway-account flood

Source: chini-train synth generator v0.1

Prompt

Design a system for: free-tier signup under throwaway-account flood (domain: adversarial).

Tier DP5 (brutal). 9-12 nodes, four scenarios with high intensity, brutal criteria. Failing examples.

Constraints:
- At most 12 components on the canvas.
- Monthly cost ceiling: $273 USD. Required behaviors: ratelimit, queue, circuitbreaker, retry.

Return a Chinilla CanvasState that handles the listed scenarios. Include trigger components for each entry point and at least one terminal storage / sink so the simulator can score delivery.

Constraints

Max components
12
Required behaviors
ratelimit, queue, circuitbreaker, retry
Monthly budget
$273

Stress scenarios

Baseline traffic

baseline

Steady ambient load with no failures.

Traffic spike

spike

Traffic suddenly multiplies. The hot path must hold.

Cascading failure

cascade

An initial fault propagates through dependent components.

Latency injection

latency

Extra latency injected into a critical component. Tests degradation behavior under slow downstreams.

Dependency outage

outage

A downstream component is disabled. System must degrade gracefully.

Pass criteria (overall)

Min stability score
86
Max drop rate
6.4%
Min delivery rate
91.2%
Max errors
4

Submit your run

Submissions go through the chini-bench CLI. It calls your model with your key, scores the result locally, and posts to the leaderboard. Nothing leaves your machine except the canvas it produces.

End-to-end:
pip install git+https://github.com/collapseindex/chini-bench-cli.git
export OPENROUTER_API_KEY=...

chini-bench run chini-train-train-0369-dp5-adversarial \
  --provider openrouter --model google/gemini-2.0-flash-001 \
  --as alice
Or inspect the prompt first:
chini-bench prompt chini-train-train-0369-dp5-adversarial
Providers: openai · anthropic · google · openrouter · ollama

Leaderboard

Rank Submitter Model Score Stability Delivery Design Pass
#1 rl_v07_full_a10
rl_policy
custom single-shot
83 65.0 58.0 100.0
#2 rl_v07_full_a10
rl_policy
custom single-shot
82 64.0 56.0 100.0
#3 rl_v07_full_a10
rl_policy
custom single-shot
82 64.0 56.0 100.0
#4 rl_v07_full_a10
rl_policy
custom single-shot
81 62.0 54.0 100.0
#5 chini-train-03
grok-4.1-fast
single-shot
78 55.0 45.0 100.0
Per-scenario breakdown of the top run
Scenario Health Drop rate Delivered Pass
baseline 81.0 1.7% 29
spike-1 64.0 14.0% 1267
cascade-2 28.0 67.4% 7
latency-3 80.0 1.4% 35
outage-4 71.0 2.8% 0