writing-ocl

writing-ocl is a skill for Claude Code from OctopusDeploy/octopus-claude-plugins. It costs 162 tokens per session (2,583 once invoked), scanned A, original, no licence file.

A reference guide for writing Octopus Configuration Language files used by Octopus Deploy, a tool for automating software deployments. It covers .ocl files in the .octopus/ folder, including deployment processes, runbooks, variables, and settings.

In plain words
What is it for?
Use it when creating or changing Octopus Deploy Config-as-Code files, deployment workflows, runbooks, variables, deployment settings, process templates, or schema versions.
Why use it?
It helps you write or edit these configuration files with the correct syntax and structure instead of guessing how the deployment setup should be expressed.

Skill for Claude Code

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

Part of the octopus-deploy-devops plugin — 5 skills, 1 agent shipped together

Good fit Use it when creating or changing Octopus Deploy Config-as-Code files, deployment workflows, runbooks, variables, deployment settings, process templates, or schema versions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/octopusdeploy/octopus-claude-plugins/writing-ocl
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 OctopusDeploy/octopus-claude-plugins --skill writing-ocl
Clone the repo
git clone --depth 1 https://github.com/OctopusDeploy/octopus-claude-plugins

Made for: Claude Code.

Or install octopus-deploy-devops, the plugin that ships this one along with the rest of its 5 skills, 1 agent.

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 writing-ocl

README.md
[![agentmods](https://agentmods.dev/badge/skills/octopusdeploy/octopus-claude-plugins/writing-ocl/github.svg)](https://agentmods.dev/skills/octopusdeploy/octopus-claude-plugins/writing-ocl)
Your own site
<a href="https://agentmods.dev/skills/octopusdeploy/octopus-claude-plugins/writing-ocl"><img src="https://agentmods.dev/badge/skills/octopusdeploy/octopus-claude-plugins/writing-ocl/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 writing-ocl

Your own site · 80×15
<a href="https://agentmods.dev/skills/octopusdeploy/octopus-claude-plugins/writing-ocl"><img src="https://agentmods.dev/badge/skills/octopusdeploy/octopus-claude-plugins/writing-ocl.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 162 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,583 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.
Origin unknown 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 $0.00162 $0.02583
Opus 5 $0.00081 $0.01291
Sonnet 5 $0.00032 $0.00517
Haiku 4.5 $0.00016 $0.00258

Measured 11d ago against content hash 7c97284759c1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

writing-ocl 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 11d 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.

octopus-deploy-plugin/skills/writing-ocl/SKILL.md · 125 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 11d ago First seen · 125 lines · 162 tokens per session scan A 7c97284759c1

Subscribe to this mod's changes

writing-ocl is a skill published in the GitHub repository OctopusDeploy/octopus-claude-plugins (3 stars, last pushed 3mo ago), with no licence file. It adds 162 tokens to every session and 2,583 once invoked, about $0.0008 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.

Related

Other skills, from other repositories

crewai-multi-agent

Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent collaboration with memory, or for production workflows requiring sequential/hierarchical execution. Built without LangChain dependencies…

davila7/claude-code-templates · 61 tokens

langchain

Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG…

davila7/claude-code-templates · 79 tokens

training-llms-megatron

Trains large language models (2B-462B parameters) using NVIDIA Megatron-Core with advanced parallelism strategies. Use when training models >1B parameters, need maximum GPU efficiency (47% MFU on H100), or require tensor/pipeline/sequence/context/expert parallelism. Production-ready framework used for Nemotron, LLaMA…

davila7/claude-code-templates · 82 tokens

langsmith-observability

LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systematic testing pipelines for AI applications.

davila7/claude-code-templates · 45 tokens

sentence-transformers

Framework for state-of-the-art sentence, text, and image embeddings. Provides 5000+ pre-trained models for semantic similarity, clustering, and retrieval. Supports multilingual, domain-specific, and multimodal models. Use for generating embeddings for RAG, semantic search, or similarity tasks. Best for production…

davila7/claude-code-templates · 67 tokens

nemo-guardrails

NVIDIA's runtime safety framework for LLM applications. Features jailbreak detection, input/output validation, fact-checking, hallucination detection, PII filtering, toxicity detection. Uses Colang 2.0 DSL for programmable rails. Production-ready, runs on T4 GPU.

davila7/claude-code-templates · 61 tokens