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 jimtin/production-ai --skill laptop-currency-maintenancegit clone --depth 1 https://github.com/jimtin/production-aiWrote 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/jimtin/production-ai/laptop-currency-maintenance)<a href="https://agentmods.dev/skills/jimtin/production-ai/laptop-currency-maintenance"><img src="https://agentmods.dev/badge/skills/jimtin/production-ai/laptop-currency-maintenance/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/jimtin/production-ai/laptop-currency-maintenance"><img src="https://agentmods.dev/badge/skills/jimtin/production-ai/laptop-currency-maintenance.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 | $0.00068 | $0.00878 |
| Opus 5 | $0.00034 | $0.00439 |
| Sonnet 5 | $0.00014 | $0.00176 |
| Haiku 4.5 | $0.00007 | $0.00088 |
Grade A, and why
laptop-currency-maintenance 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 11d 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 — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Laptop Currency Maintenance
Purpose
Use this skill to keep host developer tooling current while preserving repo safety. The default v1 boundary is strict: Homebrew formulae may be updated by the approved automation, while repo package manifests and lockfiles are audited only unless the user starts a separate repo-specific upgrade task.
Operating Rules
- Start with a read-only audit before any update.
- Use the bundled automation tool:
scripts/laptop-currency-maintenance.mjs(installed at~/.codex/skills/laptop-currency-maintenance/scripts/). Copyscripts/config.example.jsontoconfig.jsonbeside it and set absolute paths —~is not expanded. - Auto-update only unpinned Homebrew formulae in v1.
- Do not use
sudo. - Do not auto-update Homebrew casks, macOS system updates, App Store apps, Docker Desktop, repo dependencies, lockfiles, language runtime managers, or global npm packages.
- Skip and report pinned Homebrew formulae, unavailable tools, casks, and failed checks.
- Highlight configured
highImpactFormulaein reports when they are outdated. - Use
completed_with_warningswhen audits complete but checks are unavailable or fail. - Treat repo dependency upgrades as implementation work: they need repo-local planning,
$test-readiness-preflight, local/container validation, dependency audit, repo-scoped containerized gitleaks, and$security-threat-modelwhen push/readiness is in scope. - Disk cleanup is not package currency proof. Use this skill for version freshness and package drift.
- Sanitize reports and Discord messages. Do not print tokens, auth headers, env values, provider IDs, or secret-looking strings.
Workflow
- Audit first. Run
laptop-currency-maintenance.mjs auditorupdate --dry-runto collect Homebrew, global npm, repo package, audit, CLI version, and cleanup evidence. - Classify host tooling. Separate auto-upgradeable Homebrew formulae from pinned formulae, casks, missing tools, and manual-only update sources.
- Apply safe host updates only. If updating, run the tool in
updatemode. It refreshes Homebrew metadata, upgrades unpinned formulae, proves before/after versions, then runsbrew cleanup. - Audit repos without mutating them. Report outdated repo dependencies by repo, package manager, patch/minor/major gap, security audit status, dirty/active status, and recommended next action.
- Escalate repo upgrades separately. If the user asks to upgrade repo dependencies, switch to repo-specific work and use
$test-readiness-preflightbefore expensive validation. Include$security-threat-modelwhen the changed scope touches security-sensitive dependencies or push/readiness is in scope. - Report completion. Include exact commands, pass/fail status, upgraded formulae, skipped items, before/after versions, report paths, Discord status, and any repo dependency proposals.
What ships with it
6 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.
- 11d ago First seen · 53 lines · 68 tokens per session scan A 15d10334b626
laptop-currency-maintenance is a skill published in the GitHub repository jimtin/production-ai (1 stars, last pushed 2mo ago), licensed MIT. It adds 68 tokens to every session and 878 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 2026-08-31.
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