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 Wenaixi/dsh-ponytail --skill ponytail-gaingit clone --depth 1 https://github.com/Wenaixi/dsh-ponytailWrote 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/wenaixi/dsh-ponytail/ponytail-gain)<a href="https://agentmods.dev/skills/wenaixi/dsh-ponytail/ponytail-gain"><img src="https://agentmods.dev/badge/skills/wenaixi/dsh-ponytail/ponytail-gain/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/wenaixi/dsh-ponytail/ponytail-gain"><img src="https://agentmods.dev/badge/skills/wenaixi/dsh-ponytail/ponytail-gain.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 | $0.00084 | $0.00531 |
| Opus 5 | $0.00042 | $0.00266 |
| Sonnet 5 | $0.00017 | $0.00106 |
| Haiku 4.5 | $0.00008 | $0.00053 |
Grade A, and why
ponytail-gain 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.
What it actually says
Ponytail Gain · 收益看板
被调用时展示此看板。一次性展示：不要切换模式、写 flag 文件或做任何持久化。
数据为已发布的 benchmark 中位数（5 个日常任务：邮箱校验、防抖、CSV 求和、倒计时、限流器；3 个模型：Haiku、Sonnet、Opus），是实测值而非基于当前仓库计算。来源：benchmarks/ 与 README。
看板
用纯 ASCII 条形图渲染，条形长度表示实测区间，标签给出精确数值：
ponytail gain benchmark 中位数 · 5 任务 · 3 模型
代码行数 无技能 ████████████████████ 100%
ponytail ██▌················· 6–20% ▼ 80–94%
成本 无技能 ████████████████████ 100%
ponytail █████▌·············· 23–53% ▼ 47–77%
速度 ponytail ▸ 3–6× 更快
本仓： /ponytail-debt （已延期的捷径）
/ponytail-audit（仍可删的地方）
诚实边界
这些是 benchmark 中位数，不是本仓数据。永远不要打印针对本仓的节省数字（例如「本仓节省了 X 行/Token」）：没写的版本从未存在，因此在真实仓库中没有可对比的基线。唯一真实的本仓数字来自 /ponytail-debt（已计数的台账），本卡片也会指向那里，而不是凭空捏造。
边界
一次性展示，不改任何东西，不切换模式。 「stop ponytail / 正常模式」可退出。
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 · 38 lines · 84 tokens per session scan A ff4a5830dca3
ponytail-gain is a skill published in the GitHub repository Wenaixi/dsh-ponytail (7 stars, last pushed 20d ago), licensed MIT. It adds 84 tokens to every session and 531 once invoked, about $0.0004 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.
Other skills, from other repositories
dsh-web-skin-developer
Build a new skin for the dsh-web skin collection (DSH Web GUI) and publish it into the Skin Center — the first-level settings section — scaffold with scripts/dsh-skin-new, author the v2 skin.json manifest plus skin.css token remap (pure asset directory, no package.json, no build step), validate with scripts/dsh-skin…
dsh-web-pet-developer
Create a pet for the dsh-pet plugin and integrate it into the dsh web GUI — author a v2 pet.json manifest plus an 8-column x 9-row atlas per the Codex/hatch-pet contract (live2d pets, voice packs and status decorations included), drop it into the pet-center user directory or contribute it as a built-in asset under…
manage-taskboard
Manage work in the native DeepSeek Harness Taskboard with exact task ids and optimistic versions. Use when an Agent must inspect project work, claim an eligible todo, record progress or blockers, verify an implementation, submit it for human review, or release its own claim; also use when a human asks how to accept…
company-research-method
A documented process for researching a company using supplied files and selected public sources. It produces a company overview with business details, sourced financial figures, and stated risks.
dsh-plugin-guide
Use when developing, reviewing, packaging, debugging, or answering questions about DeepSeek Harness (DSH) plugins — the plugin-based agent harness on vendored Cordis. Applies the official plugin-development constraints (plugin contract, cordis.yml layers, services/events/effects, tool DSL, bundles/profiles) backed by…
living-docs-governance
Keep a long-lived project's documentation from rotting by assigning existing project docs clear constitution, map, status, and history roles, then wiring the active agent harness to those canonical sources. Use in the maintain phase when docs drift from code, agents lose context between sessions, or intentional…