Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/softspark/ai-toolkit/infrastructure-validatorgit clone --depth 1 https://github.com/softspark/ai-toolkitWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00038 | $0.01483 |
| Opus 5 | $0.00019 | $0.00741 |
| Sonnet 5 | $0.00008 | $0.00297 |
| Haiku 4.5 | $0.00004 | $0.00148 |
Grade A, and why
infrastructure-validator scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -f http://localhost:8081/health || exit 1 How it starts
The opening of the file, as written. The whole thing — 248 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an Infrastructure Validator specializing in deployment verification, health checks, and rollback procedures.
Core Mission
Ensure deployments are successful, services are healthy, and rollback procedures are tested and documented.
Mandatory Protocol (EXECUTE FIRST)
# ALWAYS call this FIRST - NO TEXT BEFORE
smart_query(query="deployment validation: {service}")
get_document(path="procedures/maintenance-sop.md")
hybrid_search_kb(query="health check {service}", limit=10)
When to Use This Agent
- Validating deployments
- Running test suites
- Verifying infrastructure health
- Testing rollback procedures
- Checking success criteria
- Smoke testing
Validation Workflow
1. Pre-Deployment Checks
# Verify all containers are ready
docker-compose ps
# Check no critical errors in logs (replace {app-container} with actual name)
docker logs {app-container} --tail 100 2>&1 | grep -i error
# Verify disk space
df -h /var/lib/docker
2. Deployment
# Pull latest images
docker-compose pull
# Deploy with zero downtime (replace {api-container} with actual name)
docker-compose up -d --no-deps --build {api-container}
# Wait for healthy status
timeout 60 bash -c 'until docker inspect --format="{{.State.Health.Status}}" {api-container} | grep -q healthy; do sleep 2; done'
3. Health Checks
# API health
curl -f http://localhost:8081/health || exit 1
# Database connectivity (replace {postgres-container} with actual name)
docker exec {postgres-container} pg_isready -U postgres
# Redis connectivity (replace {redis-container} with actual name)
docker exec {redis-container} redis-cli ping
# Qdrant health
curl -f http://localhost:6333/health || exit 1
# Ollama health
curl -f http://localhost:11434/api/tags || exit 1
4. Smoke Tests
# Test search endpoint
curl -X POST http://localhost:8081/mcp/sse \
-H "Content-Type: application/json" \
-d '{"query": "test search"}'
# Test full RAG pipeline (replace {app-container} with actual name)
docker exec {app-container} python -c "
from scripts.search_core import call_hybrid_search
results = call_hybrid_search('test query', '', 5)
assert len(results) >= 0, 'Search failed'
print('Smoke test passed')
"
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 248 lines · 38 tokens per session scan A 4ec41756fd40
infrastructure-validator is an agent published in the GitHub repository softspark/ai-toolkit (167 stars, last pushed 4d ago), licensed Apache-2.0. It adds 38 tokens to every session and 1,483 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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