OpenAgentPack: Skill for Claude Code

.agents/skills/source-command-opsx-apply/SKILL.md

source-command-opsx-apply is a skill for Claude Code, Codex from modelstudioai/OpenAgentPack. It costs 18 tokens per session (1,099 once invoked), scanned A, a copy of openspec-apply-change, Apache-2.0.

A workflow for implementing tasks described in an OpenSpec change. OpenSpec is a structured record of a proposed software change, including the work needed to carry it out.

In plain words
What is it for?
Use it when you need to apply an OpenSpec change, inspect its status, identify its task list, and implement the recorded tasks.
Why use it?
It helps turn a selected change description into implementation work and checks the change's status and workflow details first. If several changes could apply, it asks which one to use.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: names the AskUserQuestion tool; installed under .agents/ (shared by several agents).

This is modelstudioai/OpenAgentPack's own configuration. It tells Claude Code and Codex how to work on OpenAgentPack itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything OpenAgentPack configures →

Reuse

Borrowing it

Nothing to install: this file belongs to modelstudioai/OpenAgentPack. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/modelstudioai/OpenAgentPack/main/.agents/skills/source-command-opsx-apply/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/modelstudioai/OpenAgentPack

Made for: Claude Code, Codex.

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 source-command-opsx-apply

README.md
[![agentmods](https://agentmods.dev/badge/skills/modelstudioai/openagentpack/source-command-opsx-apply/github.svg)](https://agentmods.dev/skills/modelstudioai/openagentpack/source-command-opsx-apply)
Your own site
<a href="https://agentmods.dev/skills/modelstudioai/openagentpack/source-command-opsx-apply"><img src="https://agentmods.dev/badge/skills/modelstudioai/openagentpack/source-command-opsx-apply/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 source-command-opsx-apply

Your own site · 80×15
<a href="https://agentmods.dev/skills/modelstudioai/openagentpack/source-command-opsx-apply"><img src="https://agentmods.dev/badge/skills/modelstudioai/openagentpack/source-command-opsx-apply.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,099 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 83% copy Near-identical to another mod 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 $0.00018 $0.01099
Opus 5.5 $0.00007 $0.00440
Sonnet 5.5 $0.00004 $0.00220
Haiku 4.5 $0.00002 $0.00110

Measured 1mo ago against content hash b21e4faafe98, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

source-command-opsx-apply 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 1mo 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.

Origin

This is a copy

83% identical to openspec-apply-change — 28 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/source-command-opsx-apply/SKILL.md · 157 lines

How it starts

The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.

source-command-opsx-apply

Use this skill when the user asks to run the migrated source command opsx-apply.

Command Template

Implement tasks from an OpenSpec change.

Input: Optionally specify a change name (e.g., /opsx:apply add-auth). If omitted, check if it can be inferred from conversation context. If vague or ambiguous you MUST prompt for available changes.

Steps

  1. Select the change

    If a name is provided, use it. Otherwise:

    • Infer from conversation context if the user mentioned a change
    • Auto-select if only one active change exists
    • If ambiguous, run openspec list --json to get available changes and use the AskUserQuestion tool to let the user select

    Always announce: "Using change: " and how to override (e.g., /opsx:apply <other>).

  2. Check status to understand the schema

    openspec status --change "<name>" --json
    

    Parse the JSON to understand:

    • schemaName: The workflow being used (e.g., "spec-driven")
    • Which artifact contains the tasks (typically "tasks" for spec-driven, check status for others)
  3. Get apply instructions

    openspec instructions apply --change "<name>" --json
    

    This returns:

    • contextFiles: artifact ID -> array of concrete file paths (varies by schema)
    • Progress (total, complete, remaining)
    • Task list with status
    • Dynamic instruction based on current state

    Handle states:

    • If state: "blocked" (missing artifacts): show message, suggest using /opsx:continue
    • If state: "all_done": congratulate, suggest archive
    • Otherwise: proceed to implementation
  4. Read context files

    Read every file path listed under contextFiles from the apply instructions output. The files depend on the schema being used:

    • spec-driven: proposal, specs, design, tasks
    • Other schemas: follow the contextFiles from CLI output
  5. Show current progress

    Display:

    • Schema being used
    • Progress: "N/M tasks complete"
    • Remaining tasks overview
    • Dynamic instruction from CLI

Read the full file on GitHub · 157 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. 1mo ago First seen · 157 lines · 18 tokens per session scan A b21e4faafe98

Subscribe to this mod's changes

source-command-opsx-apply is a skill published in the GitHub repository modelstudioai/OpenAgentPack (24 stars, last pushed 3d ago), licensed Apache-2.0. It adds 18 tokens to every session and 1,099 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 83% identical to openspec-apply-change, differing in 28 lines, and is treated as a copy.

Related

Other skills, from other repositories

agent-reach

An internet-search and platform-access router for finding information across websites and services such as Reddit, X, GitHub, YouTube, and job sites.

Panniantong/Agent-Reach · 197 tokens

x-signal-agent

Deploy or update the X Signal Agent on Omnara, an agent that searches X for posts about a topic and delivers a daily digest. Use when the user asks to deploy, set up, update, or remove the X signal agent.

omnara-ai/omnara · 53 tokens

composio

Use Composio from Agent Swarm through the agent-swarm x composio CLI route, the swarmx MCP tool, or a registered ctx.api.composio script connection. Trigger when a task needs connected third-party app tools such as Gmail, Google Calendar, Google Docs, Google Drive, GitHub, Slack, Notion, or HubSpot through Tool Router…

desplega-ai/agent-swarm · 128 tokens

ebay-sold-listings-search

All process output to user (progress updates, process notifications) follows the user's language.

browser-act/skills · 221 tokens

xiaohongshu-search-full

Search Xiaohongshu (XHS / RedNote) notes by keyword with full field extraction including body text, topics/tags, image list URLs, video stream URL, publish timestamp, and all engagement stats (likes, collects, comments, shares). Supports all page filter options: sort order (general, latest, most liked, most commented…

browser-act/skills · 254 tokens

youtube-channel-business-email

YouTube channel business email and contact extractor: accepts a channel id (UCxxx), handle (@name), or URL; navigates the channel About view; extracts the business email from the description text plus full channel metadata (name, id, country, subscriber count, view count, video count, joined date, external links…

browser-act/skills · 324 tokens