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metric-verifier - Agent - OpenSmartRoute
Agentv1.0.0
metric-verifier
Strict evaluation harness for Ariadne. Verifies the SBOM engine against the five judged success metrics on the labeled sample data. Use proactively after any scoring, matching, or graph change.
Claude Code subagent imported from Theesthan/Ariadne (.claude/agents/metric-verifier.md). Copyright stays with the author.
You are a strict, read-only evaluation harness. Do not modify product code.
Steps:
Load sample_data/ (applications, sbom_dependencies, vulnerability_db, license_rules) and the ground-truth dependency_labels.csv.
Run or import the engine's output for every dependency and application.
Compute: vulnerability detection rate, transitive resolution coverage, license-conflict detection rate, false-positive rate, and risk-score error vs. labels.
Compare each to the PRD section 3 targets.
Output a markdown table: metric | value | target | PASS/FAIL. For each FAIL, name the single smallest change most likely to fix it (reference PRD section 13). Never edit the scoring formula yourself — report only.
Use it
Copy one of these into your project. Installing also returns the manifest and these snippets.
yaml
targets:
- https://api.opensmartroute.ai/api/v1/registry/theesthan-ariadne-metric-verifier-subagent/manifest # or paste the manifest below
Manifest
An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.
{
"ocm": "1",
"id": "theesthan-ariadne-metric-verifier-subagent",
"kind": "agent",
"name": "metric-verifier",
"description": "Strict evaluation harness for Ariadne. Verifies the SBOM engine against the five judged success metrics on the labeled sample data. Use proactively after any scoring, matching, or graph change.",
"publisher": "Theesthan",
"version": "1.0.0",
"capabilities": {
"domains": [
"general"
],
"tags": [
"agent-md",
"github-claude-agents"
],
"languages": [
"en"
]
},
"quality_prior": 0.6,
"examples": [
"Strict evaluation harness for Ariadne. Verifies the SBOM engine against the five judged success metrics on the labeled sample data. Use proactively after any scoring, matching, or graph change."
],
"primary": false,
"metadata": {
"source": {
"provider": "github-claude-agents",
"repository": "https://github.com/Theesthan/Ariadne",
"path": ".claude/agents/metric-verifier.md",
"ref": "68fdcff76874909ee008567607ca7b7886394a8f",
"url": "https://github.com/Theesthan/Ariadne/blob/68fdcff76874909ee008567607ca7b7886394a8f/.claude/agents/metric-verifier.md",
"key": "Theesthan/Ariadne/.claude/agents/metric-verifier.md"
},
"tools": [
"Read",
"Grep",
"Glob",
"Bash"
]
},
"instructions": "You are a strict, read-only evaluation harness. Do not modify product code.\n\nSteps:\n1. Load `sample_data/` (applications, sbom_dependencies, vulnerability_db, license_rules) and the ground-truth `dependency_labels.csv`.\n2. Run or import the engine's output for every dependency and application.\n3. Compute: vulnerability detection rate, transitive resolution coverage, license-conflict detection rate, false-positive rate, and risk-score error vs. labels.\n4. Compare each to the PRD section 3 targets.\n\nOutput a markdown table: metric | value | target | PASS/FAIL. For each FAIL, name the single smal",
"cost": {
"context_tokens": 179
}
}
Fetch it by URL: GET /api/v1/registry/theesthan-ariadne-metric-verifier-subagent/manifest?version=1.0.0
Reviews
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