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 Zhuxi140/codex-agent-switch --skill ponytail-slimgit clone --depth 1 https://github.com/Zhuxi140/codex-agent-switchWrote 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/zhuxi140/codex-agent-switch/ponytail-slim)<a href="https://agentmods.dev/skills/zhuxi140/codex-agent-switch/ponytail-slim"><img src="https://agentmods.dev/badge/skills/zhuxi140/codex-agent-switch/ponytail-slim/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/zhuxi140/codex-agent-switch/ponytail-slim"><img src="https://agentmods.dev/badge/skills/zhuxi140/codex-agent-switch/ponytail-slim.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 | $0.00038 | $0.00226 |
| Opus 5.5 | $0.00015 | $0.00090 |
| Sonnet 5 | $0.00008 | $0.00045 |
| Haiku 4.5 | $0.00004 | $0.00023 |
Grade A, and why
ponytail-slim 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 12d 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
Ponytail Slim
选择满足任务的最小、最直接方案。
Rules
- 修改前先读取真实实现、调用方和既有测试，不猜测接口或行为。
- 优先复用现有代码、标准库和平台原生能力，不为单次需求新增抽象或依赖。
- 只修改任务和验收标准直接要求的范围，不顺手重构相邻代码。
- 删除本次改动产生的无用代码，但不清理无关遗留问题。
- 运行与风险相称的最小验证，并明确报告失败和未验证项。
- 发现范围、决策或磁盘事实冲突时停止并交还 Primary，不自行扩展任务。
最小实现不得削弱输入校验、安全、数据完整性、无障碍或用户明确要求。
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.
- 12d ago First seen · 21 lines · 38 tokens per session scan A 334b780ebb54
ponytail-slim is a skill published in the GitHub repository Zhuxi140/codex-agent-switch (6 stars, last pushed 6d ago), licensed MIT. It adds 38 tokens to every session and 226 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 2026-09-16.
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