quant-experiment-runtime Eval
=============================

Status: failed
Score: 68/100
Risk: high
Decision: do_not_auto_install
Policy: block
Reason: Permission surface: shell or command execution, filesystem or document access

Install:
npx skills add CamusGIT/EvoQuant --skill quant-experiment-runtime

Required checks:
- PASS Task fit: Task wording matches this skill metadata.
- PASS Install path: Install handoff is available.
- PASS Install command safety: standard package or runtime install path
- WARN Trust score: Potentially useful, but at least one trust signal needs human inspection.
- WARN Audit score: Needs review
- WARN Agent safety gate: Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
- PASS License clarity: Apache-2.0
- FAIL Permission surface: shell or command execution, filesystem or document access

Warnings:
- Trust score: Potentially useful, but at least one trust signal needs human inspection.
- Audit score: Needs review
- Agent safety gate: Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
- High-risk permission hints: Shell or command execution
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Financial research output is not financial advice; require human review before any live investment decision
- The skill executes arbitrary code from LLM-generated research artifacts, which inherently requires a secure sandbox environment. The documentation mentions the EvoQuant sandbox but does not explicitly detail sandboxing constraints or risk mitigations within the skill itself.
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- Stars/forks activity: 212 stars, 3 forks; issue activity unavailable in current metadata

Validation plan:
1. Inspect repository, README/SKILL.md, license, and recent commits before production use.
2. Install in an isolated workspace or sandbox with no production secrets available.
3. Run the smallest representative task and record files touched, commands run, network access, and outputs.
4. Compare the selected skill against at least one alternative when the eval status is review or failed.
5. Promote only after the agent reports a successful verification result and unresolved warnings are accepted.

Do not use when:
- teams that need a vendor-supported SLA
- production agents without a repository review
- The skill executes arbitrary code from LLM-generated research artifacts, which inherently requires a secure sandbox environment. The documentation mentions the EvoQuant sandbox but does not explicitly detail sandboxing constraints or risk mitigations within the skill itself.
- No OpenAgentSkill engagement data yet
- High-risk permission hints: Shell or command execution
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Financial research output is not financial advice; require human review before any live investment decision

URLs:
- Skill: https://www.openagentskill.com/skills/camusgit-quant-experiment-runtime
- Audit: https://www.openagentskill.com/skills/camusgit-quant-experiment-runtime/audit
- JSON: https://www.openagentskill.com/api/agent/evals?slug=camusgit-quant-experiment-runtime