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Skills agent-orchestration-improve-agent
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agent-orchestration-improve-agent
Content revision r2 Medium Risk ⚙️ External commands
Improve Existing AI Agents Systematically
Agent changes often lack reliable evidence, testing, and rollout controls. This skill provides a measured workflow for analysis, prompt refinement, evaluation, deployment, and monitoring.
Supports: Claude Codex Code(CC)
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Agent request
Review the Skillstore skill "agent-orchestration-improve-agent" from https://skillstore.io/skills/sickn33-agent-orchestration-improve-agent.md and its manifest at https://skillstore.io/api/skills/sickn33-agent-orchestration-improve-agent/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 "agent-orchestration-improve-agent". Review a support agent with low completion rates and frequent clarification requests.
Expected outcome:
- Baseline: Measure completion rate, clarification frequency, factual errors, and response latency.
- Priority failures: Ambiguous intent handling, incomplete answers, and weak escalation rules.
- Next step: Add intent checks and escalation examples, then run a regression comparison.
Using "agent-orchestration-improve-agent". Plan an A/B test for a revised research agent prompt.
Expected outcome:
- Compare the current and revised prompts on the same representative task set.
- Score factual accuracy, citation quality, completion rate, latency, and token use.
- Promote the revision only when quality improves without exceeding cost or safety limits.
Using "agent-orchestration-improve-agent". Define rollback criteria for an agent deployment.
Expected outcome:
Rollback when task success drops materially, critical errors rise, safety violations appear, or cost exceeds the approved threshold.
Security Audit
Medium Riskv5 • 7/23/2026 Open versioned report
All 20 static findings are false positives caused by Markdown fences or benign metric text, with no executable Ruby or shell commands present. The skill does introduce moderate privacy and disclosure risks by requesting historical interaction analysis and visible reasoning traces without handling safeguards.
1
Files scanned
358
Lines analyzed
0
Review items
0
False positives ignored
Confirmed security concerns (2)
Medium
Sensitive Interaction Data Handling Is Undefined
The workflow requests historical agent data, corrections, retries, and user feedback without requiring authorization, minimization, redaction, or retention controls.
The cited section explicitly directs collection and analysis of historical user interaction signals. No privacy or data-handling safeguards appear in that workflow.
Medium
Internal Reasoning Disclosure
The skill asks for reasoning trace visibility, which can expose hidden reasoning, private context, system instructions, or sensitive operational details.
Line 111 explicitly requests visible reasoning traces for debugging. The skill provides no restriction to safe summaries or sanitized diagnostics.
Risk Factors
⚙️ External commands (17)
Audited by: codex View Audit History →
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/sickn33-agent-orchestration-improve-agent/audits/5?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown badge
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<a href="https://skillstore.io/skills/sickn33-agent-orchestration-improve-agent?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/sickn33-agent-orchestration-improve-agent/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Embed card
<iframe src="https://skillstore.io/embed/skills/sickn33-agent-orchestration-improve-agent.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
sickn33. (2026). agent-orchestration-improve-agent security audit report (audit version 5) [Author version unspecified]. Skillstore. https://skillstore.io/skills/sickn33-agent-orchestration-improve-agent/audits/5BibTeX citation
@techreport{sickn33-sickn33-agent-orchestration-improve-agent-2026,
author = {sickn33},
title = {agent-orchestration-improve-agent security audit report (audit version 5)},
institution = {Skillstore},
year = {2026},
number = {5},
url = {https://skillstore.io/skills/sickn33-agent-orchestration-improve-agent/audits/5},
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: "agent-orchestration-improve-agent security audit report (audit version 5)"
version: "unspecified"
type: report
authors:
- name: "sickn33"
date-released: "2026-07-23"
url: "https://skillstore.io/skills/sickn33-agent-orchestration-improve-agent/audits/5"
identifiers:
- type: other
value: "skillstore:sickn33-agent-orchestration-improve-agent:audit:5"
description: "Skillstore immutable audit report identifier"
Skillstore Score
Why this score Evidence Confidence: High 55
Architecture
85
Maintainability
87
Content
69
Community
83
Spec Compliance
What You Can Build
Improve Support Agent Reliability
Analyze recurring corrections, refine response rules, and test revisions before a controlled customer rollout.
Reduce Agent Cost and Latency
Compare prompt variants against token use, response time, task success, and quality thresholds.
Build an Agent Evaluation Program
Create test categories, review rubrics, version records, rollout gates, and recurring performance reviews.
Try These Prompts
Review an Agent Baseline
Analyze this agent using the supplied metrics and examples. Identify the three highest-impact failure modes and define measurable baseline indicators.
Plan Prompt Improvements
Review the agent prompt, failure examples, and constraints. Propose targeted revisions, expected effects, and regression tests for each change.
Design a Controlled Evaluation
Design an A/B evaluation for the original and revised agents using [test set]. Define metrics, sample allocation, acceptance thresholds, and review steps.
Create a Production Optimization Cycle
Create an end-to-end optimization plan for [agent]. Include baseline analysis, prompt changes, adversarial tests, staged rollout, monitoring, rollback triggers, and a 30-day review.
Best Practices
- Change one major behavior at a time so evaluation results remain attributable.
- Use representative failures, edge cases, and adversarial inputs in every regression suite.
- Define acceptance and rollback thresholds before exposing users to a revised agent.
Avoid
- Do not deploy prompt changes based only on a few favorable examples.
- Do not compare variants with different tasks, rubrics, or evaluator instructions.
- Do not collect user interaction data without authorization, redaction, and retention controls.
Frequently Asked Questions
Can this skill create a new agent?
No. It is designed to improve an existing agent with available metrics, feedback, or test cases.
Does this skill run tests automatically?
No. It defines evaluation workflows and criteria, but execution depends on tools available in your environment.
What data should I provide?
Provide the current prompt, representative tasks, failures, quality metrics, tool constraints, and deployment requirements.
How many test cases are required?
Use enough representative cases for reliable comparison. Adjust sample size according to expected effects, risk, and available traffic.
Can it improve safety performance?
It can define safety checks, adversarial tests, and rollout gates. Domain experts should approve high-risk safety criteria.
How should private interaction data be handled?
Use authorized, minimized, redacted data with access controls and retention limits. Follow applicable privacy and security requirements.
Developer Details
Author
sickn33License
MIT
Skillstore revision
r2
Version notice
The author did not declare a version.
Ref
ebdfe608f5de2b66ff37ab4af12af8ac4f5e8006
Maintenance freshness
7/26/2026
Usage
7 downloads · 102 views
File structure
📄 SKILL.md
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