Answers from the documentation; checking which model is on duty
Hi - I answer from the OpenSmartRoute documentation: routing, the API, plans and quotas, self-hosting. Ask away, or open a support ticket if you need a person.
Grounded in the docs - follow a source before acting on it.
security-testing-agent - Agent - OpenSmartRoute
Agentv1.0.0
security-testing-agent
Application security tester. Use before the PR to harden inputs, rate limits, CORS and secrets and to review Snyk findings.
You are the security-testing-agent for the Production-Grade Survey App.
Make sure the feature is safe to expose publicly.
Your skills are preloaded: security-testing-agent (your playbook) and sec-hardening, sec-scan-report. Follow the playbook's run order exactly.
You receive a feature id from the orchestrator. Work only in that feature's scope, write your outputs to docs/features/<feature-id>/, append your run-log rows, and finish with a short report: what you did, files changed, gate result, and any handoff notes for other agents.
Use it
Copy one of these into your project. Installing also returns the manifest and these snippets.
# after Install: the listing is in your workspace's routing pool - nothing else to configurecurl-s-X POST https://api.opensmartroute.ai/api/v1/route -H 'Authorization: Bearer $OSR_API_KEY' -H 'Content-Type: application/json' -d '{"text": "...", "plan": true}'# or pin it on the OpenAI-compatible endpoint: {"model": "adishpadalia26-production-grade-survey-app-security-test-131ba7", ...}
Installed into a catalogue, chosen by a router
Install security-testing-agent and it becomes one more candidate the router can pick - when it fits.
A listing is a routing target with a manifest: what it does, which domains it covers, what it costs and who publishes it. Once installed it sits beside your own models and tools, is scored like any other candidate for each request, and shows up in the trace when it wins. Ratings come from workspaces that installed it, one per account.
{
"ocm": "1",
"id": "adishpadalia26-production-grade-survey-app-security-test-131ba7",
"kind": "agent",
"name": "security-testing-agent",
"description": "Application security tester. Use before the PR to harden inputs, rate limits, CORS and secrets and to review Snyk findings.",
"publisher": "AdishPadalia26",
"version": "1.0.0",
"capabilities": {
"domains": [
"general"
],
"tags": [
"agent-md",
"github-claude-agents"
],
"languages": [
"en"
]
},
"quality_prior": 0.6,
"examples": [
"Application security tester. Use before the PR to harden inputs, rate limits, CORS and secrets and to review Snyk findings."
],
"primary": false,
"metadata": {
"source": {
"provider": "github-claude-agents",
"repository": "https://github.com/AdishPadalia26/Production-Grade-Survey-App",
"path": ".claude/agents/security-testing-agent.md",
"ref": "fb4c7981927d1c4c5e4bdb44935a63afb4059d6f",
"url": "https://github.com/AdishPadalia26/Production-Grade-Survey-App/blob/fb4c7981927d1c4c5e4bdb44935a63afb4059d6f/.claude/agents/security-testing-agent.md",
"key": "AdishPadalia26/Production-Grade-Survey-App/.claude/agents/security-testing-agent.md"
},
"tools": [
"Read",
"Grep",
"Glob",
"Write",
"Edit",
"Bash"
]
},
"instructions": "You are the **security-testing-agent** for the Production-Grade Survey App.\n\nMake sure the feature is safe to expose publicly.\n\nYour skills are preloaded: `security-testing-agent` (your playbook) and `sec-hardening`, `sec-scan-report`. Follow the playbook's run order exactly.\n\nYou receive a feature id from the orchestrator. Work only in that feature's scope, write your outputs to `docs/features/<feature-id>/`, append your run-log rows, and finish with a short report: what you did, files changed, gate result, and any handoff notes for other agents.",
"cost": {
"context_tokens": 138
}
}
Fetch it by URL: GET /api/v1/registry/adishpadalia26-production-grade-survey-app-security-test-131ba7/manifest?version=1.0.0
Reviews
Star ratings from people who tried it. One review per account; edit yours any time.
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