AgentPersonaBench
Harbor: pendingA benchmark of 2,460 tasks across 867 traits evaluating latent persona adherence via observable actions in survey, chat, web, and app environments.
- Samples
- 2,460
- Released
- 2026
- Scores
- 7
CWE-bench: Refocusing Agentic Security from Exploitation to Defense
A private benchmark of 120 held-out repository audit-and-repair tasks spanning 73 CWE types, eight languages, and all OWASP Top 10 2025 categories.
$ npm i -g lettokenburn-cli$ ltb bench info cwe-bench
External harness. No Harbor adapter has been generated for this benchmark yet. `ltb bench info` prints the known links.
Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs
| Harness | Source | Confidence | Link | |||
|---|---|---|---|---|---|---|
| Gemini 4 Argon | 68.0 | antigravity | Independent | medium | Oct 12, 2026 | arxiv.org |
| GPT-6 Astra | 68.0 | codex | Independent | medium | Oct 12, 2026 | arxiv.org |
| Grok-4.7 | 68.0 | opencode | Independent | medium | Oct 12, 2026 | arxiv.org |
| Claude Opus 5.5 | 67.0 | claude code | Independent | medium | Oct 12, 2026 | arxiv.org |
| Claude Fable 5.1 | 58.0 | claude code | Independent | medium | Oct 12, 2026 | arxiv.org |
| Grok-4.6 | 57.0 | opencode | Independent | medium | Oct 12, 2026 | arxiv.org |
| DeepSeek V4.1 Flash | 55.0 | opencode | Independent | medium | Oct 12, 2026 | arxiv.org |
| Muse Spark 1.3 | 55.0 | opencode | Independent | medium | Oct 12, 2026 | arxiv.org |
| HY4 Preview | 53.0 | opencode | Independent | medium | Oct 12, 2026 | arxiv.org |
| GPT-6 Sol | 52.0 | codex | Independent | medium | Oct 12, 2026 | arxiv.org |
| Inkling | 37.0 | opencode | Independent | medium | Oct 12, 2026 | arxiv.org |
Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.
CWE-bench consists of 120 tasks on real open-source repositories with injected vulnerabilities. Agents receive only the code and a threat model description, without hints on weakness type or location.
Scoring uses a programmatic verifier checking exploit blocking and functionality preservation, validated by agentic judges. Best agents achieve 68% pass@1, showing significant variation in retry gains and cost across models.