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 ndycode/codex-multi-auth --skill examplegit clone --depth 1 https://github.com/ndycode/codex-multi-authWrote 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/ndycode/codex-multi-auth/example)<a href="https://agentmods.dev/skills/ndycode/codex-multi-auth/example"><img src="https://agentmods.dev/badge/skills/ndycode/codex-multi-auth/example/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/ndycode/codex-multi-auth/example"><img src="https://agentmods.dev/badge/skills/ndycode/codex-multi-auth/example.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 | $0.00010 | $0.00031 |
| Opus 5.5 | $0.00004 | $0.00012 |
| Sonnet 5.5 | $0.00002 | $0.00006 |
| Haiku 4.5 | $0.00001 | $0.00003 |
Grade A, and why
example 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.
What it actually says
Example
This fixture skill exists to satisfy the plugin scanner regression test.
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 · 9 lines · 10 tokens per session scan A 33e3de92b4a0
example is a skill published in the GitHub repository ndycode/codex-multi-auth (547 stars, last pushed 2d ago), licensed MIT. It adds 10 tokens to every session and 31 once invoked, about $0.0000 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.
Other skills, from other repositories
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Use when writing, debugging, or resubmitting a dynamic-workflow script for the CreateWorkflow tool: choosing subagent topology, typing subagent results, fanning out over files or git, gating loops on world.run commands, testing pieces with EvalWorkflowSnippet, planner-reviewer loops, confirming findings before…
visualize
Create visualizations and interactive tools directly in conversation. Proactively use to show how something works; explore 'what happens when', 'what changes', or 'help me understand'; compare or inspect; create simulations, maps, charts, graphs, and mockups. Use standard tools for static scientific figures.
codex-hud
Show Codex workspace context with local config, git state, hooks, and project hints. Standalone mode can show an expanded snapshot; patched Codex TUI footer mode is single-line. Use when the user says "codex-hud", "show Codex HUD", "status HUD", "workspace snapshot", or asks for richer Codex context.
explain-codebase
Drop into any repo and generate a structured architecture overview. Maps the codebase, identifies entry points, frameworks, and dependencies — then produces a "start here" guide for new contributors. Use when onboarding to an unfamiliar repository or requesting a codebase or architecture overview.
cost-tracker
Track LLM API spend per session and task. Estimate token usage across providers. Warn before you blow your budget. Use when estimating task cost, checking token usage, or setting a session budget.
daily-archivist
Daily knowledge quality audit and inter-agent coordination. Fact-checks memory files, fills knowledge gaps, cleans up quality issues, and routes findings to other agents via an inbox system. Triggers on: knowledge audit, fact check memory, clean up memory, archivist run, inbox check, memory quality.