external-logging

external-logging is a skill for Claude Code from controlplane-com/ai-plugin. It costs 56 tokens per session (2,241 once invoked), scanned A, original, MIT.

A set of instructions for sending an organisation's workload logs to outside services such as Amazon S3, CloudWatch, Datadog, or OpenTelemetry. Workload logs are records produced by running applications and services.

In plain words
What is it for?
It helps configure external log export, check provider credentials, and understand organisation-wide log retention and forwarding.
Why use it?
It explains how to centralise logs outside the built-in log system and highlights the secret types and limits needed for forwarding to work.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the cpln plugin — 31 skills, 2 commands, 2 agents, 1 hook, 1 MCP server shipped together

Good fit It helps configure external log export, check provider credentials, and understand organisation-wide log retention and forwarding.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/controlplane-com/ai-plugin/external-logging
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.

Any agent
npx skills add controlplane-com/ai-plugin --skill external-logging
Clone the repo
git clone --depth 1 https://github.com/controlplane-com/ai-plugin

Made for: Claude Code.

Or install cpln, the plugin that ships this one along with the rest of its 31 skills, 2 commands, 2 agents, 1 hook, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for external-logging

README.md
[![agentmods](https://agentmods.dev/badge/skills/controlplane-com/ai-plugin/external-logging/github.svg)](https://agentmods.dev/skills/controlplane-com/ai-plugin/external-logging)
Your own site
<a href="https://agentmods.dev/skills/controlplane-com/ai-plugin/external-logging"><img src="https://agentmods.dev/badge/skills/controlplane-com/ai-plugin/external-logging/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for external-logging

Your own site · 80×15
<a href="https://agentmods.dev/skills/controlplane-com/ai-plugin/external-logging"><img src="https://agentmods.dev/badge/skills/controlplane-com/ai-plugin/external-logging.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,241 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00056 $0.02241
Opus 5.5 $0.00022 $0.00896
Sonnet 5.5 $0.00011 $0.00448
Haiku 4.5 $0.00006 $0.00224

Measured 17d ago against content hash 9a0afb3ffb7d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

external-logging 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 17d 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.

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/cpln/skills/external-logging/SKILL.md · 106 lines

How it starts

The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.

External Logging

Tool availability: the external logging tools need ?toolsets=full.

External logging lives on the org (spec.logging plus spec.extraLogging) and ships every workload log in the org — there is no per-GVC or per-workload filtering. One primary provider plus up to 3 extras (4 total); each logging block holds exactly one provider key. Logs stay queryable in built-in LogQL regardless (separate org retention, spec.observability.logsRetentionDays, default 30 days). The recurring failure is credentials: each provider needs a pre-created secret of the exact type below — a wrong-type secret passes configuration and the log router then silently skips that provider, so logs simply never arrive.

Providers

Key Secret Required fields Worth knowing
s3 aws bucket, region, credentials prefix default /; region free-form; the IAM user needs s3:PutObject on the bucket
cloudWatch aws region, credentials, groupName, streamName region is an 18-region allowlist (below); optional retentionDays enum and extractFields map
coralogix opaque cluster, credentials cluster: coralogix.com, coralogix.us, app.coralogix.in, app.eu2.coralogix.com, or app.coralogixsg.com; optional app/subsystem
datadog opaque host, credentials host enum: http-intake.logs.datadoghq.com, http-intake.logs.us3.datadoghq.com, http-intake.logs.us5.datadoghq.com, http-intake.logs.datadoghq.eu (dashboard us3.datadoghq.com pairs with the us3 intake host)
logzio opaque listenerHost, credentials listenerHost: listener.logz.io or listener-nl.logz.io
stackdriver gcp location, credentials location is a 40-region GCP allowlist (a rejection lists it); the service account needs Logging write
elastic aws or userpass one variant block — see below
fluentd none host port default 24224; Fluent Bit forward protocol
syslog none host, port, mode, format, severity mode tcp/udp/tls (tls enables TLS); format rfc3164/rfc5424; severity 0-7; the receiver sees gvc as hostname, workload as appname, replica as procid
opentelemetry opaque (optional) endpoint OTLP over HTTP, not gRPC; an https endpoint turns TLS on; optional credentials becomes the Authorization header. Raw header values are intentionally not accepted by the MCP tool.

Read the full file on GitHub · 106 lines

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. 17d ago Changed · -25 lines 9a0afb3ffb7d
  2. 1mo ago First seen · 131 lines · 56 tokens per session scan A 955b3a127efc

Subscribe to this mod's changes

external-logging is a skill published in the GitHub repository controlplane-com/ai-plugin (11 stars, last pushed 3d ago), licensed MIT. It adds 56 tokens to every session and 2,241 once invoked, about $0.0002 per session on Opus 5.5. 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.

Related

Other skills, from other repositories

graphjin-env

Use when setting up a training or evaluation loop against a GraphJin agent environment — running the container, reading /health, driving episodes hosted or step-by-step or with your own agent over MCP, splitting train from eval, exporting trajectories, and deciding whether two rewards can be compared.

dosco/graphjin · 61 tokens

senior-java

World-class Java and Spring Boot development skill for enterprise applications, microservices, and cloud-native systems. Expertise in Spring Framework, Spring Boot 3.x, Spring Cloud, JPA/Hibernate, and reactive programming with WebFlux. Includes project scaffolding, dependency management, security implementation, and…

benchflow-ai/skillsbench · 65 tokens

ak-cloud-deploy

Deploy an Agent Kernel project to AWS, Azure, or GCP using Terraform modules, or to any Kubernetes cluster (on-prem, baremetal, EKS) using the official Helm chart. Supports serverless and containerized modes for all three clouds. AWS supports execution modes (restsync, restasync, async, stream), queue-based scalable…

yaalalabs/agent-kernel · 157 tokens

ak-build

Add tools, agents, and handoffs to an existing Agent Kernel project. This skill guides you through reading the current project, understanding its framework and structure, then making context-aware additions — new tools, new agents, agent-to-agent handoffs, and Module wiring. The workhorse skill for iterative agent…

yaalalabs/agent-kernel · 65 tokens

ak-add-integration

Add a messaging platform integration to an existing Agent Kernel project. This skill guides you through adding Slack, WhatsApp, Messenger, Instagram, Telegram, Teams, or Gmail integration by generating configuration, updating dependencies, and setting up webhook handlers. Designed for users extending their agents.

yaalalabs/agent-kernel · 59 tokens

ak-init

Scaffold a new Agent Kernel project from scratch. This skill guides you through choosing an agent framework, defining tools, selecting a deployment target, and generating a complete project with all necessary files. Designed for users who want to build a new AI agent using the Agent Kernel library.

yaalalabs/agent-kernel · 58 tokens