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 FuRongJun-1999/dsh-memory --skill browser-57312d24git clone --depth 1 https://github.com/FuRongJun-1999/dsh-memoryWrote 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/furongjun-1999/dsh-memory/browser-57312d24)<a href="https://agentmods.dev/skills/furongjun-1999/dsh-memory/browser-57312d24"><img src="https://agentmods.dev/badge/skills/furongjun-1999/dsh-memory/browser-57312d24/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/furongjun-1999/dsh-memory/browser-57312d24"><img src="https://agentmods.dev/badge/skills/furongjun-1999/dsh-memory/browser-57312d24.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 | $0.00089 | $0.00434 |
| Opus 5.5 | $0.00036 | $0.00174 |
| Sonnet 5.5 | $0.00018 | $0.00087 |
| Haiku 4.5 | $0.00009 | $0.00043 |
Grade A, and why
browser-57312d24 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
浏览器-离线队列（browser-57312d24）
When to use
任务「离线队列」；对照：离线优先——离线请求队列（上线重发）。
克制条款（不适用条件）
op 非 {count, enqueue, flush} 时
How to execute
按 op 分派；顺序调用
Verification
- 单元样例 4 条（cases 断言）
- 物理基底：按 calibration 对照（编译/运行/断言裁决）
References
- 单元库：browser_units.py「浏览器-离线队列」
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 · 46 lines · 89 tokens per session scan A 4fb095ed173b
browser-57312d24 is a skill published in the GitHub repository FuRongJun-1999/dsh-memory (478 stars, last pushed today), licensed MIT. It adds 89 tokens to every session and 434 once invoked, about $0.0004 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 2026-09-11.
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