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-31f2b08fgit 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-31f2b08f)<a href="https://agentmods.dev/skills/furongjun-1999/dsh-memory/browser-31f2b08f"><img src="https://agentmods.dev/badge/skills/furongjun-1999/dsh-memory/browser-31f2b08f/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-31f2b08f"><img src="https://agentmods.dev/badge/skills/furongjun-1999/dsh-memory/browser-31f2b08f.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 | $0.00074 | $0.00377 |
| Opus 5.5 | $0.00030 | $0.00151 |
| Sonnet 5.5 | $0.00015 | $0.00075 |
| Haiku 4.5 | $0.00007 | $0.00038 |
Grade A, and why
browser-31f2b08f 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-形状检测（browser-31f2b08f）
When to use
任务「形状检测」；对照：Shape Detection——人脸/条码形状检测。
克制条款（不适用条件）
op 非 {count, detect, last} 时
How to execute
按 op 分派
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-形状检测」
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 · 74 tokens per session scan A e5528eb1fa12
browser-31f2b08f is a skill published in the GitHub repository FuRongJun-1999/dsh-memory (478 stars, last pushed today), licensed MIT. It adds 74 tokens to every session and 377 once invoked, about $0.0003 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.
Other skills, from other repositories
svg-chart
Render data into a standalone SVG chart file — bar, line, or pie. Use when the user provides numbers (inline, JSON, or CSV) and asks for a chart, graph, plot, trend, comparison, breakdown, or any visual summary of the data. Produces a self-contained .svg viewable in any browser; no external libraries required.
graphify
Use for any question about a codebase, its architecture, file relationships, or project content — especially when graphify-out/ exists, where the question should be treated as a graphify query first. Turns any input (code, docs, papers, images, videos) into a persistent knowledge graph with god nodes, community…
potpie-resource-markdown
Use when the user asks to ingest a markdown or HTML document — an exported doc, wiki or Confluence page, web page, runbook, spec, or RFC — into Potpie so agents can search and cite it. Teaches the extraction-script flow: split on the heading tree into sections and 4k-char chunks, import with potpie resource import…
potpie-project-preferences
Use before writing, modifying, reviewing, refactoring, or testing code so repo/project preferences surface: error handling, file structure, frameworks, logging, dependency choices, testing, security, API style, and naming. Also use after code work when a reusable project preference should be recorded.
agent-browser
Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection.
install-openviking-memory
Install and configure the OpenViking long-term memory plugin for OpenClaw via natural conversation. Once installed, the plugin automatically captures facts from chats and recalls relevant context before each reply (auto-capture + auto-recall, cross-session). Covers prerequisites, install through OpenClaw's plugin…