qmt-inner-backtest Eval
=======================

Status: review
Score: 68/100
Risk: medium
Decision: manual_review
Policy: review
Reason: Test manually in an isolated workspace and compare against safer alternatives.

Install:
npx skills add dfkai/xtquantai --skill qmt-inner-backtest

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: MIT
- PASS Permission surface: 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.
- README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context
- Recent maintenance: 3mo since push
- No critical security issues found. The skill generates code but does not execute it directly.
- Potential prompt injection risk from user-provided PDFs/screenshots is not explicitly addressed.
- Quality score needs review
- Stars/forks activity: 161 stars, 40 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
- No critical security issues found. The skill generates code but does not execute it directly.
- No OpenAgentSkill engagement data yet
- Potential prompt injection risk from user-provided PDFs/screenshots is not explicitly addressed.
- Quality score needs review
- Stars/forks activity: 161 stars, 40 forks; issue activity unavailable in current metadata
- Production credentials, payments, or irreversible account changes without explicit human review

URLs:
- Skill: https://www.openagentskill.com/skills/dfkai-qmt-inner-backtest
- Audit: https://www.openagentskill.com/skills/dfkai-qmt-inner-backtest/audit
- JSON: https://www.openagentskill.com/api/agent/evals?slug=dfkai-qmt-inner-backtest