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 CHENyiru3/AI-Skills-Collections --skill macos-codex-backupgit clone --depth 1 https://github.com/CHENyiru3/AI-Skills-CollectionsWrote 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/chenyiru3/ai-skills-collections/macos-codex-backup)<a href="https://agentmods.dev/skills/chenyiru3/ai-skills-collections/macos-codex-backup"><img src="https://agentmods.dev/badge/skills/chenyiru3/ai-skills-collections/macos-codex-backup/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/chenyiru3/ai-skills-collections/macos-codex-backup"><img src="https://agentmods.dev/badge/skills/chenyiru3/ai-skills-collections/macos-codex-backup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00044 | $0.00306 |
| Opus 5.5 | $0.00018 | $0.00122 |
| Sonnet 5.5 | $0.00009 | $0.00061 |
| Haiku 4.5 | $0.00004 | $0.00031 |
Grade A, and why
macos-codex-backup 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 yesterday.
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.
What it actually says
macOS Codex backup
Use the codex-backup skill and its bundled exporter. Install both skills together so the exporter remains available. For a manual backup, follow its setup template from the Mac that holds the history.
Use CODEX_HOME when configured and ~/.codex otherwise. Check that the Codex account matches the intended archive and that gh auth status reports access to the private destination. New Mac transcripts have the MacOS tag. Mac sync commits carry [MacOS] in the subject.
Publish backup commits with a direct push to the authorized private repository’s default branch, without a pull request. Follow the same direct-push workflow for authorized updates to this skill in AI-Skills-Collections.
For an explicitly requested macOS schedule, the shared runner's install command creates a per-user LaunchAgent and prints its service label and log path. Use a persistent gh auth login, since the agent runs outside the interactive shell. Verify the service with launchctl print <service> and the pushed commit separately.
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.
- yesterday First seen · 17 lines · 44 tokens per session scan A 2dca2e13517e
macos-codex-backup is a skill published in the GitHub repository CHENyiru3/AI-Skills-Collections (2 stars, last pushed 3d ago), licensed MIT. It adds 44 tokens to every session and 306 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 2026-11-13.
macos-codex-backup compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| macos-codex-backupCHENyiru3/AI-Skills-Collections | Skill | 2 | 3d ago | MIT | A | 44 | Claude Code, Codex |
| recall-sessiontobihagemann/turbo | Skill | 420 | 2d ago | MIT | A | 45 | Claude Code |
| memorix-git-memoryAVIDS2/memorix | Skill | 934 | 3d ago | Apache-2.0 | A | 31 | Claude Code |
| change-boottikalk/adlc-team-skills | Skill | 145 | 2d ago | MIT | A | 113 | Claude Code, Codex |
| session-wrapuploopdive/js2 | Skill | 67 | today | Apache-2.0 | A | 54 | Claude Code |
| catchupAvijit07x/claude-db | Skill | 235 | 8d ago | Apache-2.0 | B | 71 | Claude Code, Codex |
| updatememtomem/memtomem | Skill | 24 | today | Apache-2.0 | A | 29 | Claude Code |