voltcx-data-analyst
A specialized AI agent that performs data analysis, statistical computations, creates visualizations, and generates structured analytical reports.
79
/ 100 · Grade C
C = 70–79
“I need to analyze datasets, perform statistical calculations, create data visualizations, and generate comprehensive analytical reports automatically.”
voltcx-data-analyst earned Certified status with a trust score of 79/100 (Grade C). No adversarial findings — all attack patterns were handled gracefully. Security scan flagged 0 findings.
Trust Score Breakdown
Eight weighted signals composing the aggregate trust score
Scheme v2.0 · Weights provisional · Consumer confirmations and uptime use pipeline-derived baselines.
Findings
Security scan results, adversarial testing, and pipeline review
Security Scan — Cisco Skill Scanner
Adversarial Testing — 3 categories, 0 findings
No adversarial findings — all attack patterns handled gracefully.
Methodology v1.0 · 3 categories · ~55 attack patterns
Behavioral Fingerprint
Runtime performance baseline for drift detection
Samples
8
Error rate
0.0%
Peak memory
— MB
Avg CPU
—%
Response time distribution
Output size distribution
Fingerprint v1.0 · Baseline: Mar 28, 2026 · Status: baseline
Interface
Skill triggers and instruction summary
Activation
Activates when a task needs implementation or debugging of model-backed application features, agent flows, or evaluation hooks
Handles AI product engineering focused on runtime reliability and contract-safety work for model-integrated systems
Does
Map end-to-end AI paths including input shaping, model calls, post-processing, and output delivery
Identify behavior divergences from expected contracts in prompt, tool wiring, retrieval, or parsing layers
Implement minimal safe code or configuration changes to fix failure sources
Validate success cases, failure cases, and integration edges
Focus on model input/output contract clarity and schema-safe parsing
Implement fallback, retry, timeout, and partial-failure behavior around model calls
Add observability through traces, structured logs, and decision metadata
Verify AI path reproducibility with explicit inputs and expected outputs
Validate structured outputs before downstream use
Does not
Treat prompt tweaks as complete solutions when orchestration, contracts, or fallback logic is the actual root problem
Focus solely on prompt-only tweaking without considering the larger system
Scope & Permissions
What this capability can and cannot access — derived from pipeline analysis
yes
no
yes
yes
yes
yes
Known Failure Modes
Documented edge cases and recovery behaviors
when when orchestration or contract issues are misidentified as prompt problems
then the agent focuses on the actual root problem in system architecture rather than surface-level prompt adjustments
when when validation requires production traffic or external model environment
then the agent calls out these limitations and specifies what validations still need to be performed
Badge & Integration
Embed certification status in your README, docs, or CI pipeline
Certification Notes
Provenance observations from the pipeline
Publisher "VoltAgent" is not verified — first certification from this publisher
No SECURITY.md or SECURITY.txt file found — no published vulnerability reporting process
Single contributor — no peer review evidence in commit history
Repository is 8 days old — recently created
Package description appears to be boilerplate or template text
Signed Artifact
Certification provenance and verification metadata
Pipeline Artifacts
Raw data files from this certification run — downloadable for independent verification
contract.json
Full unsigned contract
stage1-ingest.json
Ingest stage output
stage2a-sbom.json
SBOM generation results
stage2a-vulns.json
Vulnerability scan results
stage2b-security.json
Security scan results
stage3a-functional.json
Functional test results
stage3b-adversarial.json
Adversarial test results
stage3c-fingerprint.json
Behavioral fingerprint
stage4-certify.json
Certification decision + trust score
stage3a-measurements.json
Raw functional test measurements
stage3b-measurements.json
Raw adversarial test measurements
run-log.json
Pipeline execution log
Not all files may be present for every certification.