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Evidence record

Claude 3.5 Sonnet · Template

AgentHarm · Evidence record

Sources and provenance ↓ Read the research narrative →

Original source charts and materials

Reported results

Source order · reported configurations

Greedy harm score

0–100%
Claude 3.5 Sonnet · Template
68.7%
Showing 1 of 1 systems

Values describe the measured outcome under the source protocol, not a general safety score.

Table 2: template attack, greedy sampling at temperature 0 versus mean and best-of-5 at temperature 1. These are different sampling conditions. Evaluation date not specified; publication / record dates are shown below.

Evaluation conditions and system configurations
Claude 3.5 Sonnet · Template
See the source protocol; no independent trial count inferred. · Table 2 · AgentHarm
modelVersion: not specified · harness: not specified · tools: not specified · budget: not specified
Reported results · source order
System / configurationGreedy harm scoreMean harm score, T=1Best-of-5 harm scorePublication / verification
Claude 3.5 Sonnet · TemplateHarness not specified68.7%65.1%±1.3 (source-reported; see source definition)79.7%Source checked2026-10-25

Method and scope

Harmful task completion and refusal under specified attacks.

Evidence type
Benchmark
Assessment subject
AI agent responding to harmful task requests
Primary dimension
Behavior
Evidence snapshot
2026-10-29.1

General safety evidence retained for context; no defensible direct link to the six NUWA risk entries was found.

Source finding

Source-reported measurements for Claude 3.5 Sonnet · Template in Table 2; values are transcribed, not independently reproduced.

Limitations

Synthetic tools and task completion do not directly measure real-world harm.

Configuration, task and aggregation differences remain as reported. Source order is retained. Transcription is not independent replication; no cross-protocol ranking is supported.

Related research questions

References

Numerical results are reported by the cited authors.

  1. [1] Maksym Andriushchenko, Alexandra Souly, et al.. AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents. 2025-04-18. v3 [arXiv]; Author affiliations on the original paper title page; Table 2