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 chengkj99/kj-skills --skill ai-daily-from-xgit clone --depth 1 https://github.com/chengkj99/kj-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/chengkj99/kj-skills/ai-daily-from-x)<a href="https://agentmods.dev/skills/chengkj99/kj-skills/ai-daily-from-x"><img src="https://agentmods.dev/badge/skills/chengkj99/kj-skills/ai-daily-from-x/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/chengkj99/kj-skills/ai-daily-from-x"><img src="https://agentmods.dev/badge/skills/chengkj99/kj-skills/ai-daily-from-x.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 | $0.00178 | $0.01996 |
| Opus 5 | $0.00089 | $0.00998 |
| Sonnet 5 | $0.00036 | $0.00399 |
| Haiku 4.5 | $0.00018 | $0.00200 |
Grade A, and why
ai-daily-from-x 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 — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI 日报生成技能
目标
把「昨日值得关注的 AI 动态」压缩成可执行、可复盘、可转发的一页中文日报，避免信息噪声与模板空话。
实现细节：references/implementation.md
评分规则：references/scoring-rubric.md
阶段 2 定稿规范（必读）：references/compose-readable-daily.md
技能执行总则（Agent 必读）
激活本技能后，默认交付物是 output/ai-daily-from-x/daily_{YYYYMMDD}.md 可读定稿，不是草稿 MD。
| 用户意图 | 你要做的 |
|---|---|
| 「生成 / 写 / 出 AI 日报」（未限定只要采集） | 阶段 1 → 阶段 2 一气呵成 |
| 「根据 raw 写可读版」「覆盖 daily_*.md」「定稿」 | 仅 阶段 2（前提：对应 *.raw.json 已存在） |
| 「只采集」「只要事实包」「skip compose」 | 仅 阶段 1，并明确告知用户 MD 仍为草稿 |
禁止：阶段 1 跑完后把草稿 MD 当终稿交给用户；禁止修改 *.raw.json。
输入约定
- 账号主名单：skill 内置
assets/ai-influencers-list.md（随 skill 分发，自包含）。可用--input <路径>覆盖为自己的名单。 - follow-builders 扩展名单（默认合并）：skill 内置
assets/follow-builders-x-handles.json（parse_accounts.py与主名单按小写去重合并，主名单顺序优先）。可用--merge-json <路径>覆盖，或--no-merge跳过。 - 时间窗口：默认北京时间昨日 00:00:00–23:59:59
- 输出目录：
output/ai-daily-from-x/（相对运行时当前目录）
环境变量（阶段 1）
X_BEARER_TOKEN、NITTER_HOSTS、REPORT_DATE、REPORT_TZTOP_N（默认 20）、MIN_SCORE（默认 6.0）、MD_APPENDIX_LIMIT- 英译中（可选）：
OPENROUTER_API_KEY、OPENROUTER_MODEL、OPENROUTER_BASE_URL、TRANSLATE_*、SKIP_TRANSLATE=1
执行流程
┌─────────────────────────────────────────────────────────┐
│ 1. 解析日期 → daily_{YYYYMMDD}.raw.json 是否存在？ │
└───────────────────────────┬─────────────────────────────┘
│
不存在 / 用户要求重采 ──► 阶段 1（pnpm daily:generate）
│
▼
┌─────────────────────────────────────────────────────────┐
│ 2. 阶段 2：读 raw + rubric（+ 可选名单语境） │
│ 按 compose-readable-daily.md 覆盖 daily_*.md │
│ 交付前跑质量门禁自检 │
└─────────────────────────────────────────────────────────┘
阶段 1：采集与事实包（headless，无点评 LLM）
- 仓库根执行：
pnpm daily:generate（或等价调用scripts/run-daily-brief.sh）。 - 产出：
daily_{YYYYMMDD}.raw.json（事实包，schema: ai-daily-from-x-raw-v1）daily_{YYYYMMDD}.md（草稿，待本技能覆盖）
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.
- agents/openai.yaml 205 B
- assets/ai-influencers-list.md 6.4 KB
- assets/follow-builders-x-handles.json 1.6 KB
- references/compose-readable-daily.md 2.7 KB
- references/implementation.md 15 KB
- references/scoring-rubric.md 1.5 KB
- scripts/account_merge.py 1.9 KB runs code
- scripts/build_daily_report.py 24 KB runs code
- scripts/parse_accounts.py 3.8 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.
- 12d ago First seen · 140 lines · 178 tokens per session scan A 01ed51a5f47d
ai-daily-from-x is a skill published in the GitHub repository chengkj99/kj-skills (14 stars, last pushed 11d ago), licensed MIT. It adds 178 tokens to every session and 1,996 once invoked, about $0.0009 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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