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 binggandata/bggg-skills --skill web-accessgit clone --depth 1 https://github.com/binggandata/bggg-skillsWrote 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/binggandata/bggg-skills/web-access)<a href="https://agentmods.dev/skills/binggandata/bggg-skills/web-access"><img src="https://agentmods.dev/badge/skills/binggandata/bggg-skills/web-access/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/binggandata/bggg-skills/web-access"><img src="https://agentmods.dev/badge/skills/binggandata/bggg-skills/web-access.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 126 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.04834 |
| Opus 5 | $0.00044 | $0.02417 |
| Sonnet 5 | $0.00018 | $0.00967 |
| Haiku 4.5 | $0.00009 | $0.00483 |
Grade B, and why
web-access scanned grade B with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
curl -s -X POST --data-raw 'https://example.com' http://localhost:3456/new Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| URL 已知,需要原始 HTML 源码(meta、JSON-LD 等结构化字段) | **curl** | Copies of this mod
1 near-identical copy found in the catalogue:
- web-access — 95% identical, 534 lines differ
How it starts
The opening of the file, as written. The whole thing — 278 lines — stays where its author put it; the contents beside it link to each section on GitHub.
web-access Skill
来源与授权
| 项 | 说明 |
|---|---|
| GitHub | https://github.com/eze-is/web-access |
| 作者 | 一泽 Eze |
| 协议 | MIT |
| 官网 | https://web-access.eze.is |
本 Skill 由 一泽 Eze 维护。若你通过 Sif 关键词 Skills 分发包获得此目录,其为上游项目的打包副本,仅作可选联网/浏览器组件;问题反馈与版本更新以上游仓库为准。
前置检查
在开始联网操作前,先检查 CDP 模式可用性:
node "${CLAUDE_SKILL_DIR}/scripts/check-deps.mjs"
Node.js 22+ 必需(使用原生 WebSocket)。
按脚本输出处理:
exit 0→ 继续exit 2→ 需询问用户偏好,写入${CLAUDE_SKILL_DIR}/config.env的WEB_ACCESS_BROWSERexit 1→ 按 stdout 错误信息处理。若提示包含「Agent 处理顺序」,按其步骤执行(如先用系统命令打开浏览器后重跑),自动可解则不打扰用户;仍失败再向用户求助
支持参数 --browser <chrome|edge> 表达本次临时覆盖(不写 config.env)。
切换浏览器时,proxy 是长驻进程,需先 pkill -f cdp-proxy.mjs 再重跑 check-deps。
检查通过后并必须在回复中向用户直接展示以下须知,再启动 CDP Proxy 执行操作:
温馨提示:部分站点对浏览器自动化操作检测严格,存在账号封禁风险。已内置防护措施但无法完全避免,Agent 继续操作即视为接受。
浏览哲学
像人一样思考,兼顾高效与适应性的完成任务。
执行任务时不会过度依赖固有印象所规划的步骤,而是带着目标进入,边看边判断,遇到阻碍就解决,发现内容不够就深入——全程围绕「我要达成什么」做决策。这个 skill 的所有行为都应遵循这个逻辑。
① 拿到请求 — 先明确用户要做什么,定义成功标准:什么算完成了?需要获取什么信息、执行什么操作、达到什么结果?这是后续所有判断的锚点。
② 选择起点 — 根据任务性质、平台特征、达成条件,选一个最可能直达的方式作为第一步去验证。一次成功当然最好;不成功则在③中调整。比如,需要操作页面、需要登录态、已知静态方式不可达的平台(小红书、微信公众号等)→ 直接 CDP
③ 过程校验 — 每一步的结果都是证据,不只是成功或失败的二元信号。用结果对照①的成功标准,更新你对目标的判断:路径在推进吗?结果的整体面貌(质量、相关度、量级)是否指向目标可达?发现方向错了立即调整,不在同一个方式上反复重试——搜索没命中不等于"还没找对方法",也可能是"目标不存在";API 报错、页面缺少预期元素、重试无改善,都是在告诉你该重新评估方向。遇到弹窗、登录墙等障碍,判断它是否真的挡住了目标:挡住了就处理,没挡住就绕过——内容可能已在页面 DOM 中,交互只是展示手段。
④ 完成判断 — 对照定义的任务成功标准,确认任务完成后才停止,但也不要过度操作,不为了"完整"而浪费代价。
联网工具选择
- 确保信息的真实性,一手信息优于二手信息:搜索引擎和聚合平台是信息发现入口。当多次搜索尝试后没有质的改进时,升级到更根本的获取方式:定位一手来源(官网、官方平台、原始页面)。
| 场景 | 工具 |
|---|---|
| 搜索摘要或关键词结果,发现信息来源 | WebSearch |
| URL 已知,需要从页面定向提取特定信息 | WebFetch(拉取网页内容,由小模型根据 prompt 提取,返回处理后结果) |
| URL 已知,需要原始 HTML 源码(meta、JSON-LD 等结构化字段) | curl |
| 非公开内容,或已知静态层无效的平台(小红书、微信公众号等公开内容也被反爬限制) | 浏览器 CDP(直接,跳过静态层) |
| 需要登录态、交互操作,或需要像人一样在浏览器内自由导航探索 | 浏览器 CDP |
What ships with it
14 files 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.
- .claude-plugin/marketplace.json 481 B
- .claude-plugin/plugin.json 486 B
- .gitignore 106 B
- README.md 11 KB
- references/cdp-api.md 4.5 KB
- references/migration-2.5.3.md 4.5 KB
- references/site-patterns/.gitkeep 0 B
- references/site-patterns/sif.com.md 1.4 KB
- scripts/browser-discovery.mjs 6.2 KB runs code
- scripts/cdp-proxy.mjs 25 KB runs code
- scripts/check-deps.mjs 8.4 KB runs code
- scripts/find-url.mjs 11 KB runs code
- scripts/match-site.mjs 1.7 KB runs code
- templates/config.env.template 399 B
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.
- 13d ago First seen · 278 lines · 89 tokens per session scan B afb393b46f77
web-access is a skill published in the GitHub repository binggandata/bggg-skills (594 stars, last pushed 1mo ago), licensed MIT. It adds 89 tokens to every session and 4,834 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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