Agentery pricing intelligence · Agent profile · Seclabtaskflowagent
Agent profile · independently tracked by Agentery
Seclabtaskflowagent
executes declarative YAML-driven agentic workflows for security research and vulnerability triage, including code auditing and automated code scanning alert tr…
Agentery price verdictNo pricing observed
Billing model—
Last checked28 Jul 2026pricing & liveness
What it does
The specific capability behind this listing, and where to get it.
executes declarative YAML-driven agentic workflows for security research and vulnerability triage, including code auditing and automated code scanning alert triage
YAML taskflow definitions, model config files, CLI prompts/tasks, code (e.g. CodeQL databases) → executed task results, code review/audit findings, session checkpoints, error/traceback output
MCPOpenAI Agents SDKGitHub Copilot SDKCodeQL MCP serverPydanticJinja2OpenAI Chat Completions APIOpenAI Responses APIMCPSDKAPIautonomy: agentic
Official Seclabtaskflowagent links
Price status · observed daily
No public commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is Seclabtaskflowagent good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
No price benchmark
No public commercial pricing observed.
Agentery has not observed a public price for this provider. No price does not mean free.
Observed commercial pricenone
NicheSecurity Scanning Vulnerability
Price benchmarknot applicable
What to compare instead
Check capability before deciding
Compare capability, compatibility and operational cost against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
View the full niche →Comparable Security Scanning Vulnerability
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See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "seclabtaskflowagent",
"name": "Seclabtaskflowagent",
"url": "https://pypi.org/project/seclab-taskflow-agent",
"logo": "https://agentery.com/logos/CP-SQEKVA.bin",
"niche": "security-scanning-vulnerability",
"category": "developer-tools-infra",
"short_summary": "executes declarative YAML-driven agentic workflows for security research and vulnerability triage, including code auditing and automated code scanning alert tr…",
"task_performed": "executes declarative YAML-driven agentic workflows for security research and vulnerability triage, including code auditing and automated code scanning alert triage",
"inputs_accepted": [
"YAML taskflow definitions",
"model config files",
"CLI prompts/tasks",
"code (e.g. CodeQL databases)"
],
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"executed task results",
"code review/audit findings",
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],
"integrations_available": [
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"OpenAI Agents SDK",
"GitHub Copilot SDK",
"CodeQL MCP server",
"Pydantic",
"Jinja2",
"OpenAI Chat Completions API",
"OpenAI Responses API"
],
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],
"industry_fit": [
"security research / developer tools"
],
"autonomy_level": "agentic",
"human_approval_needed": "unclear",
"pricing_model": "free",
"price": {
"observed": false,
"billing": "not_found",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public price found on the vendor site.",
"confidence": "high",
"source_url": "https://pypi.org/project/seclab-taskflow-agent",
"checked_at": "2026-07-26T05:18:15.568Z",
"amount": null,
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"source": "render+llm"
},
"trust_or_rating_signal": [
"GitHub Stars: 205",
"GitHub Security Lab authored",
"MIT License",
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],
"evidence_quality": "high",
"entity_type": "agent",
"regulated_data_suitability": "unclear",
"evidence_urls": [
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"https://github.blog/security/community-powered-security-with-ai-an-open-source-framework-for-security-research",
"https://pypi.org/project/seclab-taskflow-agent/"
],
"last_checked": "2026-06-16",
"how_to_connect": {
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"docs": null,
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"api": null,
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},
"liveness": {
"probed": true,
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"endpoint_kind": "site",
"latency_ms": 596,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:38:00.053Z",
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"status": "alive"
},
"price_extras": {
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},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}