evaluation
Evaluate Agent Quality with Rubrics
Agent behavior is hard to measure because valid outputs and workflows can vary. This skill helps teams design rubrics, test sets, judge workflows, and quality gates.
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "evaluation" from https://skillstore.io/skills/chakshugautam-evaluation.md and its manifest at https://skillstore.io/api/skills/chakshugautam-evaluation/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "evaluation". Request a rubric for a research assistant agent.
Expected outcome:
A weighted rubric covering factual accuracy, completeness, citation accuracy, source quality, and tool efficiency.
Using "evaluation". Ask for a test set for a support workflow.
Expected outcome:
A set of scenarios grouped by complexity, each with expected outcomes and evaluation notes.
Using "evaluation". Ask how to monitor agent quality after launch.
Expected outcome:
A continuous evaluation plan with sampling, baseline tracking, regression checks, and human review triggers.
Security Audit
SafeAll ten static findings were false positives after context review. The key-file alerts are dictionary keys, the command alerts are Markdown code fences, and the reconnaissance alerts are ordinary evaluation prose.
Risk Factors
⚙️ External commands (3)
Share & cite this report
Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.
Copy report link
https://skillstore.io/skills/chakshugautam-evaluation/audits/8?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown badge
[](https://skillstore.io/skills/chakshugautam-evaluation?utm_source=security_passport_badge)HTML badge
<a href="https://skillstore.io/skills/chakshugautam-evaluation?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/chakshugautam-evaluation/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Embed card
<iframe src="https://skillstore.io/embed/skills/chakshugautam-evaluation.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Academic citations (APA · BibTeX · CFF)
APA citation
ChakshuGautam. (2026). evaluation security audit report (audit version 8) [Author version unspecified]. Skillstore. https://skillstore.io/skills/chakshugautam-evaluation/audits/8BibTeX citation
@techreport{chakshugautam-chakshugautam-evaluation-2026,
author = {ChakshuGautam},
title = {evaluation security audit report (audit version 8)},
institution = {Skillstore},
year = {2026},
number = {8},
url = {https://skillstore.io/skills/chakshugautam-evaluation/audits/8},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "evaluation security audit report (audit version 8)"
version: "unspecified"
type: report
authors:
- name: "ChakshuGautam"
date-released: "2026-07-06"
url: "https://skillstore.io/skills/chakshugautam-evaluation/audits/8"
identifiers:
- type: other
value: "skillstore:chakshugautam-evaluation:audit:8"
description: "Skillstore immutable audit report identifier"
Compare variants
4 installable variantsEach author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.
Why this variant is first
muratcankoylan-evaluation
2026-08-21
chakshugautam-evaluation
2026-08-21
sickn33-evaluation
2026-08-21
asmayaseen-evaluation
2026-08-21
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Create release quality gates
Define pass criteria that compare agent versions before deployment.
Measure product assistant quality
Track answer accuracy, completeness, citations, and source quality over time.
Build research evaluation sets
Create task samples that cover simple lookups, comparisons, synthesis, and long workflows.
Try These Prompts
Create a simple evaluation rubric for my agent. Include dimensions, weights, score levels, and a pass threshold.
Design a test set for my agent workflow. Include simple, medium, complex, and very complex cases with expected outcomes.
Build an LLM-as-judge evaluation plan for these outputs. Include judging prompts, calibration steps, and human review checkpoints.
Review my agent evaluation process. Identify metric gaps, regression risks, sampling issues, and improvements for production monitoring.
Best Practices
- Evaluate outcomes and process quality instead of requiring one exact execution path.
- Use multiple rubric dimensions so one score does not hide important failures.
- Combine automated judging with human review for edge cases and high-impact workflows.
Avoid
- Testing only easy examples that do not match real user behavior.
- Changing prompts or tools without a baseline for comparison.
- Using a single pass rate without inspecting dimension-level failures.
Frequently Asked Questions
What type of agents can this skill evaluate?
Does this skill run evaluations automatically?
Can I use it with Claude, Codex, or Claude Code?
What metrics does it emphasize?
Do I need human reviewers?
How should I start?
Developer Details
Author
ChakshuGautamLicense
MIT
Skillstore revision
r1
Version notice
The author did not declare a version.
Ref
dd4a3ef9f20ddf38830950b4bb713df96b431fd6
Maintenance freshness
7/18/2026
Usage
7 downloads · 225 views
File structure