Eval Harness
Evaluation framework for measuring agent performance
Install
$ agentstack add skill-besync-labs-antigravity-ai-kit-eval-harness ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-besync-labs-antigravity-ai-kit-eval-harness) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Eval Harness Skill
> Purpose: Measure and improve agent performance through structured evaluation
Overview
This skill provides a framework for evaluating agent performance across key dimensions.
Evaluation Dimensions
1. Accuracy
- Did the solution work correctly?
- Were there any bugs introduced?
- Was the approach optimal?
2. Efficiency
- How many iterations were needed?
- Was context used efficiently?
- Were there unnecessary steps?
3. Alignment
- Were operating constraints followed?
- Were user preferences respected?
- Was the solution appropriate?
4. Quality
- Does code meet standards?
- Is it well-tested?
- Is it maintainable?
Evaluation Metrics
| Metric | Target | | :---------------------- | :----- | | First-time success rate | >80% | | Iterations to solution | 80% | | Build success | 100% |
Report Format
# Evaluation Report
## Session: [ID]
## Task: [Description]
### Metrics
| Dimension | Score | Notes |
| :--------- | :---- | :------------------ |
| Accuracy | 9/10 | Minor fix needed |
| Efficiency | 8/10 | 2 iterations |
| Alignment | 10/10 | All constraints met |
| Quality | 9/10 | Good coverage |
### Overall: 36/40 (90%)
### Learnings
- [What went well]
- [What could improve]Integration
- Run at session end for learning
- Use for continuous improvement
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: besync-labs
- Source: besync-labs/antigravity-ai-kit
- License: MIT
- Homepage: https://besync-labs.github.io/antigravity-ai-kit/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.