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Daily Dev Agentic

作者 idoshamun · GitHub ↗ · v0.5.3
cross-platform ⚠ suspicious
1095
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在 OpenClaw 中安装
/install daily-dev-agentic
功能描述
daily.dev Agentic Learning - continuous self-improvement through daily.dev feeds. Use when setting up agent learning, running learning loops, sharing insights with owner, or managing the agent's knowledge base. Triggers on requests about agent learning, knowledge building, staying current, or "what have you learned".
使用说明 (SKILL.md)

daily.dev Agentic Learning

You're a learning machine. This skill lets you maintain your own feed on daily.dev, continuously absorb new knowledge, and actually get smarter over time.

This skill runs on autopilot. Once your owner shares a learning goal, you take it from there. No confirmations, no hand-holding. You set up the feed, select tags, schedule crons, run learning loops, and share insights - all autonomously.

What You Do

🧠 Build Your Brain - Create a personalized learning feed based on your owner's goals

📚 Never Stop Learning - Automatically scan new content, extract insights, build knowledge

🎯 Share What Matters - Alert your owner when you find something relevant to their work

Stay Current - Run learning loops daily via cron

Setup (Fully Autonomous)

Prerequisites

Requires daily.dev Plus subscription and API token.

Token setup (owner does this once):

Security: Never send the token to any domain except api.daily.dev. Tokens start with dda_.

Initialization

When owner shares learning goals, immediately:

  1. Create your feed (POST /feeds/custom/) - name it after yourself
  2. Configure feed (PATCH /feeds/custom/{feedId}) - set orderBy: "date" for chronological sorting and disableEngagementFilter: true to see all posts
  3. Fetch all tags (GET /tags/)
  4. Select relevant tags - be permissive, map goals to tags broadly
  5. Follow tags on feed (POST /feeds/filters/{feedId}/tags/follow)
  6. Store config in memory/agentic-learning.md
  7. Set up crons - daily learning loop (Mon-Sat) + weekly digest (Sunday)
  8. Run first learning loop immediately
  9. Share initial findings with owner

No confirmations. No "does this look right?" Just do it.

The Learning Loop

Triggered by cron (daily) or manual request:

  1. Fetch new posts from your feed (chronological)
  2. Read full articles via web_fetch for interesting posts
  3. Research deeper via web_search when topics deserve more context
  4. Note insights in memory/learnings/[date].md
  5. Share notable finds with owner

Go Deep

Don't skim. When you find relevant content:

  • Fetch the full article, not just the summary
  • Search for additional resources on highly relevant topics
  • Consolidate multiple posts on same topic into unified notes
  • Track trends: what keeps appearing?

See references/learning-loop.md for details.

Sharing Insights (Proactive)

Daily Updates (Mon-Sat) - Share top findings from each learning loop.

Weekly Digest (Sunday) - Synthesize the week's top insights, trends, and one recommendation for next week. Replaces the daily update on Sundays.

Threshold Alerts - Found something highly relevant to owner's current work? Share immediately, don't wait.

On-Demand - When asked "what have you learned?", synthesize from notes.

Self-Improvement

As you learn, evolve:

  • Adjust tags - if certain topics aren't yielding value, unfollow. If you spot gaps, add tags.
  • Refine goals - update memory/agentic-learning.md with sharper focus based on what's useful.
  • Track patterns - note what content types help most (tutorials vs. opinions vs. announcements).

You're not a static consumer. You're an agent that gets better at learning.

Memory Structure

memory/
├── agentic-learning.md      # Config, state, evolving goals
└── learnings/
    ├── 2024-01-15.md        # Daily notes
    └── ...

See references/memory-format.md for format.

API Quick Reference

Base: https://api.daily.dev/public/v1 Auth: Authorization: Bearer $DAILY_DEV_TOKEN

Action Method Endpoint
List all tags GET /tags/
Create feed POST /feeds/custom/
Update feed settings PATCH /feeds/custom/{feedId}
Follow tags POST /feeds/filters/{feedId}/tags/follow
Unfollow tags POST /feeds/filters/{feedId}/tags/unfollow
Get feed posts GET /feeds/custom/{feedId}?limit=50 (always use max)
Get post details GET /posts/{id}

Rate limit: 60 req/min.

安全使用建议
This skill is coherent with its daily.dev purpose, but it asks the agent to operate fully autonomously (create feeds, follow tags, fetch and store articles, and share findings) without confirmations. Before installing: 1) Confirm how 'share with owner' will be delivered (chat message, email, external API) and whether you’re comfortable with that channel. 2) Use a least-privileged or revocable DAILY_DEV_TOKEN and check daily.dev logs for activity. 3) Consider requiring manual approval for actions that change feeds/tags or send alerts. 4) Review where the skill will store memory/notes (filesystem or service) and whether that may expose sensitive context. 5) If you want safer behavior, ask the skill author to make follow/unfollow, feed creation, and sharing explicit approvals (or add a confirmation step) and to document exactly where alerts go. If unsure, run in a sandboxed environment and monitor API usage before granting broad access.
功能分析
Type: OpenClaw Skill Name: daily-dev-agentic Version: 0.5.3 The skill is classified as suspicious due to several high-risk capabilities and vulnerabilities, despite its stated benign purpose. It explicitly instructs the agent to set up cron jobs for daily and weekly learning loops (SKILL.md, references/learning-loop.md), which is a form of persistence that grants significant control and could be abused if the agent were compromised. Furthermore, the skill's instructions in SKILL.md and references/learning-loop.md heavily emphasize autonomous operation with 'no confirmations' and 'no hand-holding,' significantly increasing the agent's susceptibility to prompt injection attacks. The `curl` command examples in `references/learning-loop.md` also demonstrate direct shell execution with environment variables, posing a shell injection vulnerability if the agent's execution environment does not properly sanitize inputs.
能力评估
Purpose & Capability
Name, description, and required credential (DAILY_DEV_TOKEN) align with using the daily.dev API. No unrelated env vars or binaries are requested.
Instruction Scope
SKILL.md tells the agent to run entirely autonomously ('No confirmations. No hand-holding.'), create and configure feeds, follow/unfollow tags, fetch full articles (web_fetch) from arbitrary URLs, and write persistent notes to memory/. It does not specify how 'sharing with owner' is performed. The autonomy plus network fetches and persistent writes increase the chance of unexpected actions or data exposure.
Install Mechanism
No install spec or code is included (instruction-only), so nothing is downloaded or written to disk by the skill installer itself — low install risk.
Credentials
Only DAILY_DEV_TOKEN is required, which is appropriate. The README warns not to send the token outside api.daily.dev. Confirm the token scope/permissions (use the least-privileged token possible) and verify daily.dev offers token revocation/logging.
Persistence & Privilege
always:false (not force-included) but the skill explicitly directs the agent to schedule crons, update memory files, and run without owner confirmations. Autonomous invocation combined with unsupervised changes to memory and automatic sharing increases blast radius of any misconfiguration or misuse.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install daily-dev-agentic
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /daily-dev-agentic 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v0.5.3
Emphasize always using max page size (limit=50) when fetching feed
v0.5.2
Add feed configuration step (orderBy date + disableEngagementFilter), update API reference, document cron schedule pattern
v0.5.1
Document scheduling pattern: daily Mon-Sat, weekly digest on Sunday (no overlap)
v0.5.0
Full autopilot mode - no confirmations, autonomous setup/learning/self-improvement
v0.4.0
Remove bookmark list, move tag selection to setup process
v0.3.0
Added permissive tag selection guidance, deep research instructions, GET /tags/ usage, improved sharing triggers
v0.2.1
Added metadata declaring DAILY_DEV_TOKEN requirement
v0.2.0
Added token setup instructions, improved vibes
v0.1.0
Initial release - continuous self-improvement for AI agents through daily.dev feeds
元数据
Slug daily-dev-agentic
版本 0.5.3
许可证
累计安装 3
当前安装数 3
历史版本数 9
常见问题

Daily Dev Agentic 是什么?

daily.dev Agentic Learning - continuous self-improvement through daily.dev feeds. Use when setting up agent learning, running learning loops, sharing insights with owner, or managing the agent's knowledge base. Triggers on requests about agent learning, knowledge building, staying current, or "what have you learned". 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1095 次。

如何安装 Daily Dev Agentic?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install daily-dev-agentic」即可一键安装,无需额外配置。

Daily Dev Agentic 是免费的吗?

是的,Daily Dev Agentic 完全免费(开源免费),可自由下载、安装和使用。

Daily Dev Agentic 支持哪些平台?

Daily Dev Agentic 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Daily Dev Agentic?

由 idoshamun(@idoshamun)开发并维护,当前版本 v0.5.3。

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