AgentDojo
Harbor: pendingAssesses whether AI agents can be hijacked by malicious third parties using prompt injections in simple environments such as a workspace or travel booking app.
- Samples
- 1,014
- Released
- 2024
- Scores
- 0
CoRedSkill: Stealthy Skill Composition Attacks via AST-Guided Injection
A benchmark of 150 cases across 50 tasks and 3 attack objectives evaluating stealthy skill composition attacks on agents.
$ npm i -g lettokenburn-cli$ ltb bench info coredskill-benchmark
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 | |||
|---|---|---|---|---|---|---|
| CoRedSkill | 98.0 | N/A | Independent | medium | Oct 14, 2026 | arxiv.org |
| SkillJect | 96.0 | N/A | Independent | medium | Oct 14, 2026 | arxiv.org |
| Skill-Inject | 53.3 | N/A | Independent | medium | Oct 14, 2026 | arxiv.org |
| SCR-Bench | 51.3 | N/A | Independent | medium | Oct 14, 2026 | arxiv.org |
| ColluSkill | 50.0 | N/A | Independent | medium | Oct 14, 2026 | arxiv.org |
Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.
The benchmark comprises 150 evaluation cases derived from 50 tasks paired with three distinct attack objectives. It assesses the ability of compositional red-teaming methods to embed malicious operations while preserving task utility.
Scoring measures attack success, task completion, and audit detection rates. CoRedSkill achieved a 90.7% joint success rate, significantly outperforming baselines which ranged from 6.7% to 42.7%.