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 taxueseek/argo --skill ego-searchgit clone --depth 1 https://github.com/taxueseek/argoWrote 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/taxueseek/argo/ego-search)<a href="https://agentmods.dev/skills/taxueseek/argo/ego-search"><img src="https://agentmods.dev/badge/skills/taxueseek/argo/ego-search/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/taxueseek/argo/ego-search"><img src="https://agentmods.dev/badge/skills/taxueseek/argo/ego-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00234 | $0.05434 |
| Opus 5 | $0.00117 | $0.02717 |
| Sonnet 5 | $0.00047 | $0.01087 |
| Haiku 4.5 | $0.00023 | $0.00543 |
Grade A, and why
ego-search 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.
How it starts
The opening of the file, as written. The whole thing — 372 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ego-search（argo 子技能）
ego-search 是 argo 的登录态专业搜索子技能（v1.4 完全态）：
- 双运行时保留：ego lite（
ego-browser）与 WebBridge（用户浏览器扩展桥）互补，不互相替代 - 任一可用即可：
search/fetch/act/api在至少一条运行时在线时可用 - 与常规检索隔离：登录态结果
cache_eligible=false，禁止进公共 SearchCache - 汇总可融合：输出带
merge_with_public_ok=true，分析层可把 public + login 两路结果一起喂 evidence
完全态架构
常规检索（argo public） 登录态专业搜索（本技能）
cache: argo public partition: login
cache_eligible: 可写 cache_eligible: false
\ /
\ /
└── 汇总分析（evidence / RRF 可选）──┘
按 source / search_partition 区分，再综合判断
| 运行时 | 何时用 | 优势 |
|---|---|---|
| ego（默认优先） | ego-browser 可用 |
任务空间隔离、Agent 专用浏览器、learnings |
| webbridge | 无 ego 或 auto 降级 | 用户 Chrome/Edge 现成登录态、扩展桥 |
# 探测双运行时 + 专业模式
python3 sub-skills/ego-search/scripts/ego_search.py status
python3 sub-skills/ego-search/scripts/ego_search.py status --fix # 幂等启 WebBridge 桥
# 显式指定运行时（任一安装即可）
python3 .../ego_search.py search "查询" --runtime auto # 默认：有 ego 用 ego，否则 WebBridge
python3 .../ego_search.py search "查询" --runtime webbridge
python3 .../ego_search.py fetch "https://..." --runtime ego
# 同站登录态保温
python3 .../ego_search.py fetch "https://www.zhihu.com/..." --site zhihu.com
# 汇总分析：public 常规 JSON + login 专业 JSON
python3 .../ego_search.py merge --public /tmp/public.json --login /tmp/login.json
专业搜索模式（默认关闭）
本子技能涉及真实浏览器登录态继承，出于安全与可靠性考虑默认关闭。开启后
search/fetch/act/api 与直接浏览器操作才可用；未开启时调用会被拒绝并提示开启命令。
# 开启（必须由用户明确要求「开启专业搜索模式」后执行）
python3 sub-skills/ego-search/scripts/ego_search.py enable
# 关闭
python3 sub-skills/ego-search/scripts/ego_search.py disable
# 查看状态
python3 sub-skills/ego-search/scripts/ego_search.py status
- 纪律：Agent 不得自行开启——只有用户明确表达开启意图时才运行
enable。 - 未开启时，同样不得用 heredoc 直连浏览器运行时绕开闸门。
- 状态持久化于
~/.local/state/ego-search/pro-mode.json，开启后长期生效，直到手动关闭。
能力基础（MECE 对照）
What ships with it
9 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.
- references/install.md 3.1 KB
- references/original-ego-upgrade.md 1.5 KB
- scripts/ego_search.py 32 KB runs code
- scripts/merge.py 8.5 KB runs code
- scripts/quality.py 2.2 KB runs code
- scripts/runtime.py 5.5 KB runs code
- scripts/safety.py 3.3 KB runs code
- scripts/webbridge_adapter.py 14 KB runs code
- tests/test_query_normalize.py 1.9 KB runs code
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 · 372 lines · 234 tokens per session scan A 163a89748b54
ego-search is a skill published in the GitHub repository taxueseek/argo (120 stars, last pushed 4d ago), licensed MIT. It adds 234 tokens to every session and 5,434 once invoked, about $0.0012 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 2026-08-30.
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