Skip to content
Agentmart
Submit a tool
This entry duplicates agent-platform-alert-configuration, which is the one we list in search.

agent-platform-alert-configuration

Configures best-practice alerting policies for AI agents using OpenTelemetry (OTel) metrics, generating output as Terraform (.tf) configuration files.

Skill by aibangjuxin

IndexedLicense unknown★ 2
Write a review

Chalk Labs

Need help deploying agent-platform-alert-configuration?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/aibangjuxin-agent-platform-alert-configuration

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

Configures best-practice alerting policies for AI agents using OpenTelemetry (OTel) metrics, generating output as Terraform (.tf) configuration files. Use when analyzing, writing, or deploying alerting policies to monitor agent latency, error rates, token usage, and quality metrics. Don't use for standard infrastructure monitoring unrelated to AI agents, or when the agent is not instrumented with OpenTelemetry (for Reliability, Cost, Safety, Security alerts). NOTE: Reliability, Cost, Safety, and Security alerts use generic OTel metrics and work across runtimes (such as Cloud Run, Vertex AI). Quality alerts rely on Vertex AI Online Monitors and are strictly bound to Vertex AI deployments.

Use cases: devops, security, writing, productivity

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions: not checked yet.

What's inside

Skill name
agent-platform-alert-configuration
Description
Configures best-practice alerting policies for AI agents using OpenTelemetry (OTel) metrics, generating output as Terraform (.tf) configuration files. Use when analyzing, writing, or deploying alerting policies to monitor agent latency, error rates, token usage, and quality metrics. Don't use for standard infrastructure monitoring unrelated to AI agents, or when the agent is not instrumented with OpenTelemetry (for Reliability, Cost, Safety, Security alerts). NOTE: Reliability, Cost, Safety, and Security alerts use generic OTel metrics and work across runtimes (such as Cloud Run, Vertex AI). Quality alerts rely on Vertex AI Online Monitors and are strictly bound to Vertex AI deployments.
License
unknown
Allowed tools
terraform, gcloud, python
Metadata
version: 1.0.0 · category: AiAndMachineLearning
Instructions
291 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (28)

  • SKILL.md
  • cost_alert_policies.md · references/
  • has_historical_traffic_data.md · references/
  • no_historical_traffic_data.md · references/
  • quality_alert_policies.md · references/
  • reliability_alert_policies.md · references/
  • safety_alert_policies.md · references/
  • security_alert_policies.md · references/
  • telemetry_enablement.md · references/
  • analyze_traffic.py · scripts/
  • analyze_traffic_test.py · scripts/
  • check_telemetry.py · scripts/
  • check_telemetry_test.py · scripts/
  • config_utils.py · scripts/
  • config_utils_test.py · scripts/
  • create_online_monitor.py · scripts/
  • create_online_monitor_test.py · scripts/
  • gather_agent_info.py · scripts/
  • gather_agent_info_test.py · scripts/
  • lint_syntax.py · scripts/
  • list_log_scope_table_names.py · scripts/
  • list_log_scope_table_names_test.py · scripts/
  • list_trace_scope_table_names.py · scripts/
  • list_trace_scope_table_names_test.py · scripts/
  • mock_traffic_data.py · scripts/
  • requirements.txt · scripts/
  • scan_duplicates.py · scripts/
  • scan_duplicates_test.py · scripts/

The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub

Signals

Stars
2
Forks
0
Open issues
213
Last commit (this folder)
Oct 15, 2026 (16 days ago)
Last release
Apr 12, 2024 (2 years ago)

From GitHub (fetched Oct 24, 2026).

Details

Version
1.0.0
License
License unknown
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

Same skill elsewhere

Copies of this SKILL.md published by others; search shows only one of them.

More from aibangjuxin

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get agent-platform-alert-configuration running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying agent-platform-alert-configuration?

CallGet help
Cite this page

agent-platform-alert-configuration skill. Agent Mart. https://agentmart.dev/skills/aibangjuxin-agent-platform-alert-configuration (last updated 2026-10-24)