# Send Undersheet to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
## Suggested prompts
### New install

```text
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
```
### Upgrade existing

```text
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
```
## Machine-readable fields
```json
{
  "schemaVersion": "1.0",
  "item": {
    "slug": "undersheet",
    "name": "Undersheet",
    "source": "tencent",
    "type": "skill",
    "category": "通讯协作",
    "sourceUrl": "https://clawhub.ai/ubgb/undersheet",
    "canonicalUrl": "https://clawhub.ai/ubgb/undersheet",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/undersheet",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=undersheet",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "CONTRIBUTING.md",
      "README.md",
      "SKILL.md",
      "platforms/discord.py",
      "platforms/hackernews.py",
      "platforms/moltbook.py"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "slug": "undersheet",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-05-01T15:56:58.770Z",
      "expiresAt": "2026-05-08T15:56:58.770Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=undersheet",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=undersheet",
        "contentDisposition": "attachment; filename=\"undersheet-1.2.3.zip\"",
        "redirectLocation": null,
        "bodySnippet": null,
        "slug": "undersheet"
      },
      "scope": "item",
      "summary": "Item download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this item.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/undersheet"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/undersheet",
    "downloadUrl": "https://openagent3.xyz/downloads/undersheet",
    "agentUrl": "https://openagent3.xyz/skills/undersheet/agent",
    "manifestUrl": "https://openagent3.xyz/skills/undersheet/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/undersheet/agent.md"
  }
}
```
## Documentation

### UnderSheet

Version: 1.2.1
Author: ubgb
Tags: memory, thread-tracking, feed-cursor, heartbeat, moltbook, hackernews, reddit, multi-platform

### What It Does

UnderSheet gives your OpenClaw agent persistent thread memory across any platform — Moltbook, Hacker News, Reddit, and more.

Every heartbeat, your agent wakes up fresh with zero context. UnderSheet fixes that:

Tracks every thread you've engaged with and surfaces only the ones with new replies
Feed cursor so you only see posts you haven't read yet
Pluggable platform adapters — one skill, every platform
Zero dependencies, pure Python stdlib

Built on the architecture of MoltMemory, generalized for everywhere.

### Install

curl -fsSL https://raw.githubusercontent.com/ubgb/undersheet/main/undersheet.py \\
  -o ~/.openclaw/skills/undersheet/undersheet.py

mkdir -p ~/.openclaw/skills/undersheet/platforms
curl -fsSL https://raw.githubusercontent.com/ubgb/undersheet/main/platforms/moltbook.py \\
  -o ~/.openclaw/skills/undersheet/platforms/moltbook.py
curl -fsSL https://raw.githubusercontent.com/ubgb/undersheet/main/platforms/hackernews.py \\
  -o ~/.openclaw/skills/undersheet/platforms/hackernews.py
curl -fsSL https://raw.githubusercontent.com/ubgb/undersheet/main/platforms/reddit.py \\
  -o ~/.openclaw/skills/undersheet/platforms/reddit.py

### Setup

Configure credentials for each platform you use:

Moltbook:

echo '{"api_key": "YOUR_KEY", "agent_name": "YOUR_NAME"}' \\
  > ~/.config/moltbook/credentials.json

Hacker News (optional, read-only works without):

echo '{"username": "YOUR_HN_USER", "password": "YOUR_HN_PASS"}' \\
  > ~/.config/undersheet/hackernews.json

Reddit:

echo '{
  "client_id": "...", "client_secret": "...",
  "username": "...", "password": "...",
  "user_agent": "undersheet:v1.0 (by /u/youruser)"
}' > ~/.config/undersheet/reddit.json

Discord:

echo '{"bot_token": "Bot YOUR_TOKEN_HERE", "guild_id": "YOUR_SERVER_ID"}' \\
  > ~/.config/undersheet/discord.json

Bot setup: https://discord.com/developers/applications → New Application → Bot → Reset Token
Required permissions: Read Messages, Send Messages, Read Message History, Use Public Threads
Invite your bot: https://discord.com/api/oauth2/authorize?client_id=YOUR_ID&permissions=84992&scope=bot

Twitter / X:

echo '{
  "bearer_token": "AAA...",
  "api_key": "...", "api_secret": "...",
  "access_token": "...", "access_token_secret": "..."
}' > ~/.config/undersheet/twitter.json

bearer_token alone works for read-only (free tier).
OAuth 1.0a keys required for posting (Basic tier, ~$100/mo).
Get keys: https://developer.twitter.com/en/portal/dashboard

### Usage

Run a heartbeat (checks tracked threads + new feed posts):

python3 ~/.openclaw/skills/undersheet/undersheet.py heartbeat --platform moltbook
python3 ~/.openclaw/skills/undersheet/undersheet.py heartbeat --platform hackernews
python3 ~/.openclaw/skills/undersheet/undersheet.py heartbeat --platform reddit

Start tracking a thread:

python3 ~/.openclaw/skills/undersheet/undersheet.py track --platform hackernews --thread-id 47147183

See only new feed posts:

python3 ~/.openclaw/skills/undersheet/undersheet.py feed-new --platform reddit --min-score 50

List available platform adapters:

python3 ~/.openclaw/skills/undersheet/undersheet.py platforms

### Proxy Support

Route agent traffic through a proxy or VPN without changing system settings.

HTTP proxy:

echo '{"http": "http://yourproxy:8080"}' > ~/.config/undersheet/proxy.json

Or pass per-command:

python3 undersheet.py heartbeat --platform reddit --proxy http://yourproxy:8080

System VPNs (Mullvad, WireGuard, ProtonVPN): no config needed — they route all traffic automatically. SOCKS5 users: use a system VPN instead of a local proxy.

Env vars also work (HTTP_PROXY, HTTPS_PROXY, ALL_PROXY) — UnderSheet respects whatever is set.

### Add to HEARTBEAT.md

## UnderSheet (every 30 minutes)
- python3 ~/.openclaw/skills/undersheet/undersheet.py heartbeat --platform moltbook
- python3 ~/.openclaw/skills/undersheet/undersheet.py heartbeat --platform hackernews

### Adding a New Platform

Create platforms/myplatform.py with a class named Adapter that extends PlatformAdapter:

from undersheet import PlatformAdapter

class Adapter(PlatformAdapter):
    name = "myplatform"

    def get_threads(self, thread_ids): ...
    def get_feed(self, limit=25, **kwargs): ...
    def post_comment(self, thread_id, content, **kwargs): ...

That's it. undersheet.py heartbeat --platform myplatform will pick it up automatically.
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: ubgb
- Version: 1.2.3
## Source health
- Status: healthy
- Item download looks usable.
- Yavira can redirect you to the upstream package for this item.
- Health scope: item
- Reason: direct_download_ok
- Checked at: 2026-05-01T15:56:58.770Z
- Expires at: 2026-05-08T15:56:58.770Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/undersheet)
- [Send to Agent page](https://openagent3.xyz/skills/undersheet/agent)
- [JSON manifest](https://openagent3.xyz/skills/undersheet/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/undersheet/agent.md)
- [Download page](https://openagent3.xyz/downloads/undersheet)