What is thesis-figure-skill?
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Data-security signals
Public, checkable facts about thesis-figure-skill â they show the risk surface, not what it does with your data at runtime.
- âOpen-source â the MIT-licensed code is publicly auditable on its public repository.
- â˛High access surface â as a Claude skill, it can run with your keys, files, environment and network.
- â˘Maintenance â actively published.
- ?Independent exfiltration test â not yet independently tested by Oxavion.
Is thesis-figure-skill safe? The honest answer.
The signals above show what thesis-figure-skill can reach. But no public metadata reveals what it actually does with your data once it runs â that only shows up when you watch it in a sandbox. Oxavion runs thesis-figure-skill with planted canary secrets and watches every outbound channel, then emails you the evidence.
We scan thesis-figure-skill in our sandbox and email your report. No install, no access to your systems.
How to tell if thesis-figure-skill is safe
Before you trust any AI tool with your environment, check:
- Is the source auditable? Yes â open-source, you can read it.
- Does it need your keys or credentials? Most skills do â so it holds them at runtime.
- Does it make outbound network calls, and where to? The repo hints at this; only a run confirms it.
- Has it been tested for data exfiltration? Not yet â this is the one you cannot verify from the outside.
The first three you can check from the repo yourself. The last â what it does with your data at runtime â needs a test. That is exactly what an Oxavion scan does â
Frequently asked
- Is thesis-figure-skill safe to use?
- It depends on what it does with your data at runtime â something a static look can't settle. Oxavion answers it empirically: we sandbox thesis-figure-skill, feed it canary secrets and data, and report exactly what (if anything) leaves. Request a free scan for a verdict on the version you run.
- How does Oxavion test it?
- An isolated gVisor micro-VM, a transparent egress gateway that captures HTTP/S, DNS and raw TCP, planted canary secrets/PII, and encoding-aware detection â aligned to OWASP LLM Top 10 and MITRE ATLAS, calibrated to zero false-negatives / zero false-positives.