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.
npx skills add mvschwarz/openrig --skill agent-operated-softwaregit clone --depth 1 https://github.com/mvschwarz/openrigWrote 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.
[](https://agentmods.dev/skills/mvschwarz/openrig/agent-operated-software)<a href="https://agentmods.dev/skills/mvschwarz/openrig/agent-operated-software"><img src="https://agentmods.dev/badge/skills/mvschwarz/openrig/agent-operated-software/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.
<a href="https://agentmods.dev/skills/mvschwarz/openrig/agent-operated-software"><img src="https://agentmods.dev/badge/skills/mvschwarz/openrig/agent-operated-software.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00051 | $0.00980 |
| Opus 5 | $0.00026 | $0.00490 |
| Sonnet 5 | $0.00010 | $0.00196 |
| Haiku 4.5 | $0.00005 | $0.00098 |
Grade A, and why
agent-operated-software 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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent-Operated Software
Agent-Operated Software is an ongoing application whose functioning runtime includes an OpenRig agent or rig in its live backend or control loop. The application surface can be thin: structured state and specialist roles do the work, while the UI makes that work legible and steerable.
Start with the shared taxonomy
- AI-enabled software: application code owns the control loop and calls a model as one capability.
- Agent-Operated Workflow: an agent owns one bounded procedure with a start and stop condition;
see
agent-operated-workflows. - Agent-Operated Software: agents participate in an ongoing application's functioning runtime.
An application may compose many Agent-Operated Workflows. A bounded workflow does not by itself make its surrounding product Agent-Operated Software, and a model call is neither category unless an agent owns part of the control loop.
Agents are part of the backend
In this architecture, behavior is not located only in functions. It is distributed across agents, skills, instructions, bootstrap files, schemas, Markdown, YAML, JSON, folders, and deterministic tools. A surprising result may therefore be a code defect or a coherence gap in this control plane. Trace the path that actually produced the behavior before choosing which layer to repair.
This is not permission to tolerate defects in OpenRig core or another rock-solid substrate. There, reproduce the bug, fix the code, and hold the full gate. The faster coherence-first posture belongs to recoverable agent-operated application layers whose state and behavior can be inspected and repaired cheaply.
Markdown is the control plane
Markdown is maximally useful to an agent while remaining legible enough for a human to steer. Put intent, work state, evidence, and decisions into stable addressed artifacts rather than private chat or an opaque custom database. Keep schemas and conventions aligned with the running behavior: the agent population acts on those files as executable context.
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.
- 3d ago First seen · 93 lines · 51 tokens per session scan A 14ac51222521
agent-operated-software is a skill published in the GitHub repository mvschwarz/openrig (66 stars, last pushed 2d ago), licensed Apache-2.0. It adds 51 tokens to every session and 980 once invoked, about $0.0003 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 2026-09-05.
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