agentmods.dev

edgedelta-pipelines

A workflow for creating, checking, and deploying EdgeDelta pipeline configurations. Pipelines define how monitoring data such as logs, metrics, and traces is collected and processed.

In plain words
What is it for?
Building pipelines interactively, choosing from seven templates, validating YAML, inspecting Kubernetes or operating-system environments, and deploying through the EdgeDelta API.
Why use it?
It helps catch configuration problems before deployment and provides starting templates for common monitoring setups.

Skill for Claude CodeCodex

2 5mo ago A scan 98 tokens original MIT
View the source file edgedelta/claude-code-plugins
Install

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.

agentmods
npx agentmods add skills/edgedelta/claude-code-plugins/edgedelta-pipelines
Any agent
npx skills add edgedelta/claude-code-plugins --skill edgedelta-pipelines
Clone the repo
git clone --depth 1 https://github.com/edgedelta/claude-code-plugins

Made for: Claude Code, Codex.

Per session 98 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,835 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What 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.

ModelPer sessionOnce invoked
Fable 5 $0.00098 $0.03835
Opus 5 $0.00049 $0.01917
Sonnet 5 $0.00020 $0.00767
Haiku 4.5 $0.00010 $0.00383

Measured 2d ago against content hash 40c057f34798, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

edgedelta-pipelines scanned grade A with 0 findings 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.

The scan reads SKILL.md. This mod also ships 4 executable files (assets/scripts/deploy_pipeline.py, assets/scripts/inspect_environment.py, assets/scripts/pipeline_builder.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/edgedelta-pipelines/skills/edgedelta-pipelines/SKILL.md · 478 lines

How it starts

The opening of the file, as written. The whole thing — 478 lines — stays where its author put it; the contents beside it link to each section on GitHub.

EdgeDelta Pipelines Skill

Creates, validates, and deploys EdgeDelta pipeline v3 configurations. Provides production-tested templates, validation tools, environment inspection, and interactive pipeline building.

When to Use This Skill

Activate this skill when the user:

  • Wants to create an EdgeDelta pipeline
  • Asks about EdgeDelta configuration or monitoring
  • Needs to collect logs, metrics, or traces
  • Wants to validate a pipeline YAML
  • Asks "what can I monitor" or wants environment inspection
  • Mentions pipelines, telemetry, observability with EdgeDelta context

Core Capabilities

  1. Quick Deploy: Choose from 7 production-tested templates
  2. Custom Builder: Interactive pipeline creation with environment inspection
  3. Validation: Check pipelines against EdgeDelta rules before deployment
  4. Environment Discovery: Inspect K8s/Linux/Windows for monitoring opportunities
  5. Direct Deployment: Deploy pipelines via EdgeDelta API

Quick Reference Searches

For fast lookups without loading full skill context:

# Find template by use case
grep -n "Use case:" SKILL.md

# Find template architecture
grep -n "Architecture:" SKILL.md

# Find validation rules
grep -n "validation" assets/scripts/validate_pipeline.py

# Find processor examples
grep -rn "type: generic_mask" assets/templates/

# Find API deployment script
ls assets/scripts/deploy_pipeline.py

# See all templates
ls assets/templates/template-*.yaml

Available Workflows

Workflow 1: Quick Template Deployment

When: User wants to quickly deploy a pipeline

Steps:

  1. Ask for EdgeDelta credentials:

    • Organization ID
    • API Token
    • Check ~/.edgedelta.env or project .env file first
    • Store in conversation context

  2. Present template options:

    • Template 1: Log Ingestion with PII Masking

      • Use case: Application logs with compliance requirements
      • Architecture: file_input → sequence (3x generic_mask + extract_metric) → ed_output

    • Template 2: OTLP Dual Receiver

      • Use case: OpenTelemetry data collection
      • Architecture: otlp_input (gRPC+HTTP) → sequence (transform + metrics) → ed_output

Read the full file on GitHub · 478 lines

Files

What ships with it

16 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 2d ago First seen · 478 lines · 98 tokens per session scan A 40c057f34798

Subscribe to this mod's changes

edgedelta-pipelines is a skill published in the GitHub repository edgedelta/claude-code-plugins (2 stars, last pushed 5mo ago), licensed MIT. It adds 98 tokens to every session and 3,835 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Analytics and metricsCloudDevOps and cloud
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