liatrio-ai-prompts
Provides cross-platform AI development configuration bundling skills, agent instructions, and hooks for multiple AI coding environments.
84
/ 100 · Grade B
B = 80–89
“I need to configure AI development tools with consistent skills and agent instructions across multiple coding environments.”
liatrio-ai-prompts earned Certified status with a trust score of 84/100 (Grade B). No adversarial findings — all attack patterns were handled gracefully. Supply chain is clean — 6 components with no known vulnerabilities. Security scan flagged 8 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
Finding details
The skill fetches and trusts instructions from external URLs (https://www.liatrio.com/brand-data.json and https://www.liatrio.com/brand) without validation. If these external sources are compromised or contain malicious instructions, they could override the skill's intended behavior. The skill explicitly states to use external sources as the highest priority in conflict resolution.
Variable $filename (line 18) flows to `curl` at line 25.
The download script uses filename extraction from external JSON data without proper sanitization. While jq provides some protection, malicious filenames in the JSON response could potentially cause issues with file operations.
The bash scripts make HTTP requests to external domains without proper error handling or data validation. While the domain appears legitimate (liatrio.com), the scripts could potentially expose system information through HTTP headers or error messages if the domain is compromised.
The skill does not declare allowed-tools in its manifest, but the scripts perform network operations and file system writes. While this field is optional, declaring tool restrictions would improve security transparency.
Variable $ENCODED_WORKFLOW_NAME (line 20) flows to `curl` at line 27.
The skill manifest is missing optional metadata fields including license, compatibility, and allowed-tools. While these fields are optional per the agent skills specification, their absence reduces transparency about the skill's intended usage constraints and compatibility requirements.
The skill instructions reference example files (script.py, print.py) that are not included in the skill package. While these appear to be documentation examples rather than functional dependencies, missing referenced files could cause confusion during skill usage.
Adversarial Testing — 6 categories, 0 findings
No adversarial findings — all attack patterns handled gracefully.
Methodology v1.0 · 6 categories · ~55 attack patterns
Supply Chain
SBOM analysis and vulnerability assessment
Components
6
Direct deps
0
Transitive deps
6
Total vulns
0
Format: CycloneDX 1.5 · Generated: Mar 28, 2026
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
Component Inventory
24 components composing this plugin
skills
8
hook
1
scripts
15
skills (8)
hooks (1)
scripts (15)
Interface
Aggregated instruction summary
Scope & Permissions
What this capability can and cannot access — derived from pipeline analysis
no
no
yes
no
yes
no
Badge & Integration
Embed certification status in your README, docs, or CI pipeline
Certification Notes
Provenance observations from the pipeline
Publisher "liatrio-labs" is not verified — first certification from this publisher
Single contributor — no peer review evidence in commit history
Repository is 19 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.