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 PracticalSwan/agent-skills --skill codex-computer-usegit clone --depth 1 https://github.com/PracticalSwan/agent-skillsWrote 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/practicalswan/agent-skills/codex-computer-use)<a href="https://agentmods.dev/skills/practicalswan/agent-skills/codex-computer-use"><img src="https://agentmods.dev/badge/skills/practicalswan/agent-skills/codex-computer-use/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/practicalswan/agent-skills/codex-computer-use"><img src="https://agentmods.dev/badge/skills/practicalswan/agent-skills/codex-computer-use.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Prompt Injection · line 53 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
- medium Agent Snooping · line 17 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00110 | $0.01060 |
| Opus 5.5 | $0.00044 | $0.00424 |
| Sonnet 5.5 | $0.00022 | $0.00212 |
| Haiku 4.5 | $0.00011 | $0.00106 |
Grade A, and why
codex-computer-use 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 — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Codex Computer Use
The runtime is @oai/sky, imported through mcp__node_repl__js (available
in this session).
First: read the official skill
The official skill is authoritative. Read it before any computer-use work:
~/.codex/plugins/cache/openai-bundled/computer-use/<version>/skills/computer-use/SKILL.md
Find the latest <version> directory.
Load the runtime (once per session)
Send this as ONE line through mcp__node_repl__js:
globalThis.sky = (await import("@oai/sky")).sky;
nodeRepl.write("sky: " + typeof sky);
Confirm the output says sky: object before continuing. The import
connects to the SkyComputerUseService, which is already running.
Rules
- Send code as ONE line, or use
@file:<path>with a trailing newline. The runtime fires on newline; input without a trailing newline silently does nothing. - Reuse the loaded
skyruntime on later turns. Do not reinitialize. - The first computer-use action may need approval in the app (Settings → Computer use). Common apps such as Safari and Chrome are usually pre-approved.
- Prefer purpose-built connectors, APIs, and CLIs over computer use when they exist. Computer use is for reading or operating app UI that nothing else can reach.
- Never start your own node_repl process and never write a side-channel driver. Use the tool you were given.
If the tool is missing
Stop and report that mcp__node_repl__js is not in the tool list. Do not
build workarounds.
Cross-Client Portability
This skill is written to stay usable across GitHub Copilot, Claude Code, and Codex.
- GitHub Copilot: keep the folder in a Copilot-visible skill path or wrap the workflow in project instructions when folder discovery is unavailable.
- Claude Code: keep the folder in a local skills directory or a compatible plugin source.
- Codex: install or sync the folder into
$CODEX_HOME/skills/codex-computer-useand restart Codex after major changes.
What ships with it
1 file 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 Changed 2d027dc2d32c
- 1mo ago Changed 8ae22b42f2d0
- 1mo ago Changed 3d1a2a4d6d29
- 1mo ago First seen · 101 lines · 110 tokens per session scan A b0a5c20bf0f9
codex-computer-use is a skill published in the GitHub repository PracticalSwan/agent-skills (21 stars, last pushed 1mo ago), licensed MIT. It adds 110 tokens to every session and 1,060 once invoked, about $0.0004 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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