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 agentmods add skills/ga626/knowledge-radar/researchnpx skills add ga626/knowledge-radar --skill researchgit clone --depth 1 https://github.com/ga626/knowledge-radarWrote 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/ga626/knowledge-radar/research)<a href="https://agentmods.dev/skills/ga626/knowledge-radar/research"><img src="https://agentmods.dev/badge/skills/ga626/knowledge-radar/research.svg" alt="Measured on agentmods" 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 | $0.00033 | $0.00773 |
| Opus 5 | $0.00016 | $0.00387 |
| Sonnet 5 | $0.00007 | $0.00155 |
| Haiku 4.5 | $0.00003 | $0.00077 |
Grade A, and why
research 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 3d 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
KnowledgeRadar 调研
KnowledgeRadar 是 Codex 的外部研究感知层；用户级 config.toml 是唯一 MCP 注册源，本插件只提供工作流，不注册第二个 server。
工作流
- 优先使用原生
mcp__knowledgeradar.*。未显示时，先发现knowledgeradar mcp health_check kr_research get_capabilities；发现仍失败就报告 Codex 宿主工具面故障。原生明确Transport closed后，先用项目协议探针区分后端与当前 Desktop MCP session，不重启共享 KR 服务。若宿主暴露官方config/mcpServer/reload，请求 reload，并仅在下一 user turn 的原生health_check(summary)与get_capabilities(summary=true)都成功后记录恢复；未暴露时，可提示用户完整退出并重新启动 Codex Desktop，再做同样的双调用验收。重启是宿主恢复选项，不是自动重连。只有任务必须在此之前继续时，才可调用版本化scripts\kr_mcp_continuity.py call；输出必须标记access_path=continuity_fallback，不得宣称原生 MCP 已恢复。 - 非平凡或不确定任务先调用
health_check(mode="summary")与get_capabilities(summary=true)，再由 Agent 自主选择来源生态、轮次、工具、扩展和停止点。 - 重度研究优先用
kr_research，后续按证据需要调用已注册的 Web、学术、GitHub、视频、平台、详情、任务状态和决策日志工具。 - 内置 web/search 只能在 KR 路由后作为
host_internal_web_wave使用，并记录wave_id、strategy_tree、reason和relationship_to_kr。 - 严肃报告记录证据登记：访问路径、工具、来源 URL/路径、事实、推理、强弱和缺口。搜索结果只是候选，需详情抽取或交叉来源确认后才支持强结论。
- 一份报告对应一个
research_task，完成时使用同一任务 ID 调用finalize_research_task；每个考虑过的来源生态都记录使用、跳过、阻断、不相关或未到达及原因。 - 深度或治理报告须通过项目研究质量检查并完成最终化；sidecar 是声明，不等于每次工具调用的证明，关联不清时标为 partial。
失败边界
- 原生工具在发现后仍不可用：默认报告 Codex 宿主工具面故障；只有 L2 已明确断开且任务不能等待宿主恢复时，才使用带
--reason、任务 ID、回执和 handoff 的版本化continuity_fallback。它只保证任务连续，不能让当前线程重新获得原生工具。用户完整重启 Desktop 后，必须重新发生两次真实 native call 才能写native_mcp_restored_after_desktop_restart。不调用未版本化或缺失的 fallback。 - 缺少工具卡不等于 KnowledgeRadar 服务故障；区分宿主注入、stdio、HTTP 和源码配置。
- 登录、验证码和平台验证转为明确的人工交互状态，不盲目循环重试。
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.
- 3d ago First seen · 25 lines · 33 tokens per session scan A 85aa33e69504
research is a skill published in the GitHub repository ga626/knowledge-radar (0 stars, last pushed 3d ago), licensed MIT. It adds 33 tokens to every session and 773 once invoked, about $0.0002 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.
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