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 kennyzir/7deer_skills --skill x-demand-radargit clone --depth 1 https://github.com/kennyzir/7deer_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/kennyzir/7deer_skills/x-demand-radar)<a href="https://agentmods.dev/skills/kennyzir/7deer_skills/x-demand-radar"><img src="https://agentmods.dev/badge/skills/kennyzir/7deer_skills/x-demand-radar/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/kennyzir/7deer_skills/x-demand-radar"><img src="https://agentmods.dev/badge/skills/kennyzir/7deer_skills/x-demand-radar.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 | $0.00139 | $0.05537 |
| Opus 5 | $0.00069 | $0.02769 |
| Sonnet 5 | $0.00028 | $0.01107 |
| Haiku 4.5 | $0.00014 | $0.00554 |
Grade A, and why
x-demand-radar 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 12d 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 — 416 lines — stays where its author put it; the contents beside it link to each section on GitHub.
X AI 热点雷达
核心指标
最终得分 = X 热度 × 项目新鲜度
raw_hot_score = likes × log(1 + likes_per_hour)- 增速 = 点赞数 / (当前时间 - 发布时间) 小时
- 项目新鲜度校验：发现 GitHub 项目后，必须导航到仓库页面验证创建日期
final_score = raw_hot_score × freshness_multiplier- 项目 < 7 天：× 1.0
- 项目 7-30 天：× 0.7
- 项目 30-90 天：× 0.3
- 项目 > 90 天：标记 ⚠️ 旧项目回锅，不参与排名
🔴 关键教训：UI-TARS-desktop (bytedance) 29K 星但 repo 已存在数月，X 帖子虽然是新的但项目不新 → 套利空间归零。热度高 ≠ 项目新。
搜索矩阵（6 层探测器）
每层目标不同，覆盖野生热点 → 新品发布 → 病毒传播 → 开源爆发 → FOMO 需求全链路。
L0: 野生病毒（48h 窗口）🆕
捕捉不带 AI 标签但疯狂传播的产品/游戏/工具。这是捕捉 H5 游戏、网页工具等非 AI 热点的关键层。
("this is insane" OR "game changer" OR "holy shit" OR "mind blown" OR "this is crazy" OR "cannot believe" OR "blown away") (game OR tool OR app OR website OR "web app" OR builder OR generator OR platform OR "waitlist") min_faves:200 since:SINCE_48H
⚠️ 注意：L0 不要求 AI 关键词，min_faves 提升到 200 以过滤噪声。
L1: 新品发射-AI（24h 窗口）
捕捉"刚刚发布/开源"的 AI 工具，最早信号。
("just launched" OR "just dropped" OR "just shipped" OR "new AI tool" OR "just released" OR "introducing" OR "launching today") (AI OR LLM OR GPT OR agent OR open source) min_faves:30 since:SINCE_24H
L1-b: 泛新品发射（24h 窗口）🆕
捕捉非 AI 的新发布产品/游戏/工具。
("just launched" OR "just dropped" OR "just shipped" OR "just released" OR "introducing" OR "launching today" OR "new" OR "announcing") (game OR tool OR app OR website OR "web app" OR builder OR platform) min_faves:100 since:SINCE_24H
L2: 病毒传播（48h 窗口）
捕捉正在被疯转的 AI 产品。
("this is insane" OR "game changer" OR "holy shit" OR "mind blown" OR "this is crazy" OR "cannot believe" OR "blown away") (AI OR LLM OR GPT OR agent OR tool) min_faves:100 since:SINCE_48H
L3: GitHub 星标暴增（48h 窗口）
开源 AI 项目突然爆火。
("github.com" OR "open source") (AI OR LLM OR GPT OR agent) ("stars" OR "trending" OR "blew up" OR "blowing up" OR "just hit") min_faves:100 since:SINCE_48H
L4: FOMO / Waitlist（72h 窗口）
等不及、求邀请、排长队 = 需求溢出信号。
("waitlist" OR "beta access" OR "invite" OR "early access" OR "can't wait" OR "need this") (AI OR LLM OR tool OR app) min_faves:50 since:SINCE_72H
What ships with it
4 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.
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.
- 12d ago First seen · 416 lines · 139 tokens per session scan A b5233cbc8c0e
x-demand-radar is a skill published in the GitHub repository kennyzir/7deer_skills (313 stars, last pushed 4d ago), licensed MIT. It adds 139 tokens to every session and 5,537 once invoked, about $0.0007 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.
Other skills, from other repositories
migrate-radix-to-base
Migrates React projects and components from Radix UI to Base UI. Use when asked to migrate from radix, move to base-ui, convert radix primitives, or switch a shadcn project's base library. Handles single components ("migrate accordion") and whole projects.
non-json-content-types
Handle FormData, file uploads, Blob, Uint8Array, and ReadableStream inputs in tRPC mutations. Use octetInputParser from @trpc/server/http for binary data. Route non-JSON requests with splitLink and isNonJsonSerializable() from @trpc/client. FormData and binary inputs only work with mutations (POST).
trigger-authoring-tasks
Covers writing backend Trigger.dev tasks with @trigger.dev/sdk: defining task() and schemaTask(), the run function and its ctx, retries, waits, queues and concurrency, idempotency keys, run metadata, logging, triggering other tasks (and the Result shape), scheduled/cron tasks, and the essentials of trigger.config.ts.…
saas-builder
Clone, verify, map, and build on top of ixartz/SaaS-Boilerplate for a user's SaaS idea. Use when a user wants to reuse SaaS Boilerplate, evaluate how their product fits it, or build product-specific pages, database schema, roles, permissions, MVP features, and launch scope on top of the boilerplate.
arcgis-to-portaljs
Migrate a whole ArcGIS Hub site into a PortalJS Arc portal end-to-end. Harvests the Hub /data.json (DCAT-US) inventory, exports every FeatureService layer through the ArcGIS REST query API with resultOffset paging, converts each to the serverless dual tier (PMTiles render + GeoParquet query) with tabular items to…
fast-typescript-check
Keep www-sacred's TypeScript fast to type-check and fast to run. Use when touching the ASCII/canvas animation components (the only real per-frame code here), tightening type-check wall-clock, or auditing a change for runtime or compiler regressions. Scoped to this repo — a React 19 / Next.js 16 component library plus…