Agent Skill
Agent Operated Workflows skill
agent-operated-workflowsmvschwarz/openrigpackages/daemon/assets/plugins/openrig-core/skills/agent-operated-workflows/SKILL.md
Use when a bounded real-world procedure has a deterministic happy path but brownfield, variable, or partially knowable state; when an operation must resume from verified evidence; or when deciding whether agent judgment or ordinary code should own a procedure's control loop.
always on
55 tokname + description
once used
730 tokSKILL.md body
bundled files
0
repo stars
8.1kGitHub
Install the Agent Operated Workflows skill
Skills CLI (Claude Code, Codex, Cursor and others)
npx skills add https://github.com/mvschwarz/openrig --skill agent-operated-workflows
Claude Code, by hand (all projects)
git clone --depth 1 https://github.com/mvschwarz/openrig.git /tmp/openrig mkdir -p ~/.claude/skills cp -R /tmp/openrig/packages/daemon/assets/plugins/openrig-core/skills/agent-operated-workflows ~/.claude/skills/agent-operated-workflows
For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.
What it costs your context
Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.
| When | What loads | Cost |
|---|---|---|
| Every session | Name and description | 55 tok |
| When the agent uses it | The SKILL.md instructions | 730 tok |
| Only if opened | No bundled files | — |
Until it is used, agent-operated-workflows costs about 25× less than the median MCP server we measured (1,362 tokens on every turn). Installing all 94 skills from mvschwarz/openrig would load 6,757 tokens of descriptions. Skills vs MCP study
Checks
Our checks found nothing to flag: it follows the Agent Skills specification's naming and size guidelines and doesn't pipe downloads into a shell.
Checked 2026-10-22 · method
What's inside
The headings of its SKILL.md. Read the full file on GitHub.
- Agent-Operated Workflows
- Name the architecture before using it
- Decide whether the agent earns the loop
- Keep ownership explicit
- Operate
- Build
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