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 mco-org/mco --skill mco-cligit clone --depth 1 https://github.com/mco-org/mcoWrote 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/mco-org/mco/mco-cli)<a href="https://agentmods.dev/skills/mco-org/mco/mco-cli"><img src="https://agentmods.dev/badge/skills/mco-org/mco/mco-cli/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/mco-org/mco/mco-cli"><img src="https://agentmods.dev/badge/skills/mco-org/mco/mco-cli.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 | $0.00038 | $0.01297 |
| Opus 5.5 | $0.00015 | $0.00519 |
| Sonnet 5.5 | $0.00008 | $0.00259 |
| Haiku 4.5 | $0.00004 | $0.00130 |
Grade A, and why
mco-cli 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.
How it starts
The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MCO CLI Skill
Use this Skill when an upstream Agent needs to dispatch one task to one or more coding Agents and preserve their raw operational answers.
Before execution
Confirm the provider/model team with the user in natural language. Do not infer consent from installed binaries. Use either:
--agent [alias=]provider:modelonce per invocation; or--providers provider,...for one default-model invocation per provider.
--agent is the model-qualified form. It supports repeated models from one provider when each repeated invocation has a distinct alias:
mco run --repo . --prompt "Inspect the parser." \
--agent fast=pi:fast-model \
--agent careful=pi:careful-model \
--result-mode stdout
--providers pi,codex is an invocation-native shorthand. MCO resolves each provider's configured/default model and runs the resulting invocations through the same runtime; it is not a legacy execution path.
If MCO returns provider_selection_required, ask the user which Agents to use and retry with an explicit --providers or --agent selection.
Execution defaults
mco rundefaults to--execution-mode write.mco reviewis a thin read-only preset and defaults to--execution-mode read_only.- Review passes the explicit prompt unchanged. With no prompt, it uses a short natural-language review prompt; it does not inject a findings schema.
- Use
--execution-mode yoloonly after the user explicitly requests unrestricted execution.
Output and status
MCO returns raw Agent answer text plus operational metadata. It does not infer findings, severity, confidence, consensus, or decisions from answer prose.
- Default text mode streams answer deltas to stdout. With multiple invocations it adds source labels between answers but does not rewrite answer content.
--jsonprints one final JSON envelope.--stream jsonlprints JSONL events; each invocation'soutput_deltavalues concatenate to its formal answer.- Progress, warnings, and provider diagnostics go to stderr. stdout remains answer text or the selected machine protocol.
statusiscomplete,partial, orfailed; exit codes are0,1, and2respectively. A cancelled or timed-out invocation is recorded inside the corresponding task status.
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 90 lines · 38 tokens per session scan A 02abdd93bbf3
mco-cli is a skill published in the GitHub repository mco-org/mco (537 stars, last pushed 12d ago), licensed MIT. It adds 38 tokens to every session and 1,297 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 2026-08-30.
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