tg-channel-reader

---

name: sergei-mikhailov-tg-channel-reader

description: Read posts and comments from Telegram channels via MTProto (Pyrogram or Telethon). Fetch recent messages and discussion replies from public or private channels by time window.

metadata: {"openclaw": {"emoji": "📡", "requires": {"bins": ["tg-reader", "tg-reader-check"], "env": ["TG_API_ID", "TG_API_HASH"]}, "primaryEnv": "TG_API_HASH"}}

---

# tg-channel-reader

Read posts and comments from Telegram channels using MTProto (Pyrogram or Telethon).

Works with any public channel and private channels the user is subscribed to.

Supports fetching discussion replies (comments) for individual posts.

> **Security notice:** This skill requires `TG_API_ID` and `TG_API_HASH` from [my.telegram.org](https://my.telegram.org). The session file grants full Telegram account access — store it securely and never share it.

---

Exec Approvals

> **Just installed via `clawhub install`?** Complete Setup & Installation (below) first — the skill needs `pip install`, credentials, and a session file before exec approvals matter.

OpenClaw blocks unknown CLI commands by default. The user must approve `tg-reader` commands before they can run. If the command hangs or the user says nothing is happening — exec approval is likely pending.

Quick setup (recommended)

Run from the skill directory — checks prerequisites, installs pip packages if needed, and prints the approval commands to run:

cd ~/.openclaw/workspace/skills/sergei-mikhailov-tg-channel-reader
bash setup-tg-reader.sh

Manual CLI approval

openclaw approvals allowlist add --gateway "$(which tg-reader)"
openclaw approvals allowlist add --gateway "$(which tg-reader-check)"
openclaw approvals allowlist add --gateway "$(which tg-reader-telethon)"

Alternative: approve on first use

1. **Control UI** — open `http://localhost:18789/`, find the pending approval for `tg-reader`, click **"Always allow"**. [Docs](https://docs.openclaw.ai/web/control-ui)

2. **Messenger** (Telegram, Slack, Discord) — the bot sends an approval request with an `<id>`. Reply: `/approve <id> allow-always`. Other options: `allow-once`, `deny`.

The approval prompt appears in the **Control UI or as a bot message** — not in the agent's conversation. This is a common source of confusion.

---

When to Use

---

Quick Start

# 1. Run pre-flight diagnostic (fast, no Telegram connection)
tg-reader-check

# 2. Get channel info
tg-reader info @channel_name

# 3. Fetch recent posts
tg-reader fetch @channel_name --since 24h

> **`tg-reader: command not found`?** Run `bash setup-tg-reader.sh` from the skill directory (it will install the package), or manually: `cd ~/.openclaw/workspace/skills/sergei-mikhailov-tg-channel-reader && pip install .`

---

Commands

`tg-reader-check` — Pre-flight Diagnostic

**Always run before fetching.** Fast offline check — no Telegram connection needed.

tg-reader-check
tg-reader-check --config-file /path/to/config.json
tg-reader-check --session-file /path/to/session

Returns JSON with `"status": "ok"` or `"status": "error"` plus a `problems` array.

Verifies:

`tg-reader info` — Channel Info

tg-reader info @channel_name

Returns title, description, subscriber count, and link.

`tg-reader fetch` — Read Posts

# Last 24 hours (default)
tg-reader fetch @channel_name --since 24h

# Last 7 days, up to 200 posts
tg-reader fetch @channel_name --since 7d --limit 200

# Multiple channels (fetched sequentially with 10s delay between each)
tg-reader fetch @channel1 @channel2 @channel3 --since 24h

# Custom delay between channels (seconds)
tg-reader fetch @channel1 @channel2 @channel3 --since 24h --delay 5

# Fetch posts with comments (single channel only, limit auto-drops to 30)
tg-reader fetch @channel_name --since 7d --comments

# More comments per post, custom delay between posts
tg-reader fetch @channel_name --since 24h --comments --comment-limit 20 --comment-delay 5

# Skip posts without text (media-only, no caption)
tg-reader fetch @channel_name --since 24h --text-only

# Human-readable output
tg-reader fetch @channel_name --since 24h --format text

# Write output to file instead of stdout (saves tokens)
tg-reader fetch @channel_name --since 24h --output
tg-reader fetch @channel_name --since 24h --comments --output comments.json

# Use Telethon instead of Pyrogram (one-time)
tg-reader fetch @channel_name --since 24h --telethon

# Read unread mode — only fetch new (unread) posts, no --since needed
# Requires "read_unread": true in ~/.tg-reader.json
tg-reader fetch @channel_name

# Override read_unread mode (fetch everything, don't update state)
tg-reader fetch @channel_name --since 7d --all

# Custom state file location
tg-reader fetch @channel_name --since 24h --state-file /path/to/state.json

`tg-reader auth` — First-time Authentication

tg-reader auth

Creates a session file. Only needed once.

---

Read Unread Mode

Only return new (unread) posts — the skill remembers what you've already seen. Useful for daily digests and monitoring workflows.

Setup

**Option A — config file** (`~/.tg-reader.json`):

{
  "api_id": 12345,
  "api_hash": "...",
  "read_unread": true
}

**Option B — env var** (works with `~/.openclaw/openclaw.json`):

export TG_READ_UNREAD=true

Env vars take priority over the config file. This lets you enable read_unread via `openclaw.json` Docker `env` alongside `TG_API_ID`/`TG_API_HASH`.

State is stored in `~/.tg-reader-state.json` (configurable via `"state_file"` in config, `TG_STATE_FILE` env var, or `--state-file` flag).

Behavior

Examples

# With read_unread enabled — just fetch, no --since needed
tg-reader fetch @channel_name

# First run for a new channel — --since determines initial window
tg-reader fetch @new_channel --since 7d

# Override: fetch everything, don't update tracking state
tg-reader fetch @channel_name --since 7d --all

Output

When read_unread mode is active, the JSON output includes a `read_unread` field:

{
  "channel": "@channel_name",
  "read_unread": {"enabled": true},
  "count": 5,
  "messages": [...]
}

With `--all`: `"read_unread": {"enabled": true, "overridden": true}`

Limitations

Diagnostic

`tg-reader-check` reports tracking status:

{
  "tracking": {
    "read_unread": true,
    "state_file": "~/.tg-reader-state.json",
    "state_file_exists": true,
    "tracked_channels": 3
  }
}

---

Output Format

`info`

{
  "id": -1001234567890,
  "title": "Channel Name",
  "username": "channel_name",
  "description": "About this channel...",
  "members_count": 42000,
  "link": "https://t.me/channel_name"
}

`fetch`

{
  "channel": "@channel_name",
  "fetched_at": "2026-02-22T10:00:00Z",
  "since": "2026-02-21T10:00:00Z",
  "count": 12,
  "messages": [
    {
      "id": 1234,
      "date": "2026-02-22T09:30:00Z",
      "text": "Post content...",
      "views": 5200,
      "forwards": 34,
      "link": "https://t.me/channel_name/1234",
      "has_media": true,
      "media_type": "MessageMediaType.PHOTO"
    }
  ]
}

`fetch` with `--comments`

{
  "channel": "@channel_name",
  "fetched_at": "2026-02-28T10:00:00Z",
  "since": "2026-02-27T10:00:00Z",
  "count": 5,
  "comments_enabled": true,
  "comments_available": true,
  "messages": [
    {
      "id": 1234,
      "text": "Post content...",
      "has_media": false,
      "comment_count": 2,
      "comments": [
        {
          "id": 5678,
          "date": "2026-02-28T09:35:00Z",
          "text": "Great post!",
          "from_user": "username123"
        }
      ]
    }
  ]
}

**Notes:**

---

After Fetching

1. Parse the JSON output

2. Posts with images/videos have `has_media: true` and a `media_type` field. Their text is in the `text` field (from the caption). **Do not skip posts just because they have media** — they often contain important text.

3. Images and videos are **not analyzed** (no OCR/vision) — only the text/caption is returned.

4. Summarize key themes, top posts by views, notable links

5. If `comments_enabled: true`, analyze comment sentiment and key themes alongside the main posts

6. Save summary to `memory/YYYY-MM-DD.md` if user wants to track over time

Saving to File (Token Economy)

Use `--output` when the result is large (especially with `--comments`) and you don't need to analyze it immediately. The full data goes to a file, and stdout returns only a short confirmation — **this saves tokens**.

**Periodic updates pattern:** set up a cron task that runs `tg-reader fetch @channel --comments --output comments.json` on schedule. The file gets updated regularly. When the user asks to analyze comments — read the file instead of re-fetching. This avoids consuming tokens on every fetch.

When `--output` is used without a filename, the default is `tg-output.json`. Stdout confirmation:

{"status": "ok", "output_file": "/absolute/path/to/tg-output.json", "count": 12}

Saving Channel List

Store tracked channels in `TOOLS.md`:

## Telegram Channels
- @channel1 — why tracked
- @channel2 — why tracked

---

Error Handling

Errors include an `error_type` and `action` field to help agents decide what to do automatically.

Channel Errors

| `error_type` | Meaning | `action` |

|--------------|---------|----------|

| `access_denied` | Channel is private, you were kicked, or access is restricted | `remove_from_list_or_rejoin` — ask user if they still have access; if not, remove the channel |

| `banned` | You are banned from this channel | `remove_from_list` — remove the channel, tell the user |

| `not_found` | Channel doesn't exist or username is wrong | `check_username` — verify the @username with the user |

| `invite_expired` | Invite link is expired or invalid | `request_new_invite` — ask user for a new invite link |

| `flood_wait` | Telegram rate limit | `wait_Ns` — waits ≤ 60 s are retried automatically; longer waits return this error |

| `comments_multi_channel` | `--comments` used with multiple channels | `remove_extra_channels_or_drop_comments` — use one channel at a time |

System Errors

| Error | Action |

|-------|--------|

| `Session file not found` | Run `tg-reader-check` — use the `suggestion` from output |

| `Missing credentials` | Guide user through Setup (Step 1-2 below) |

| `tg-reader: command not found` | Run `bash setup-tg-reader.sh` from the skill directory, or manually: `pip install .` Fallback: `python3 -m tg_reader_unified` |

| `AUTH_KEY_UNREGISTERED` | Session expired — delete and re-auth (see below) |

Session Expired

rm -f ~/.tg-reader-session.session
tg-reader auth

Auth Code Not Arriving

Use the verbose debug script for full MTProto-level logs:

python3 debug_auth.py

> **Warning:** `debug_auth.py` deletes existing session files before re-authenticating. It will ask for confirmation first.

---

Library Selection

Two MTProto backends are supported:

| Backend | Command | Notes |

|---------|---------|-------|

| **Pyrogram** (default) | `tg-reader` or `tg-reader-pyrogram` | Modern, actively maintained |

| **Telethon** | `tg-reader-telethon` | Alternative if Pyrogram has issues |

Switch persistently: `export TG_USE_TELETHON=true`

Switch one-time: `tg-reader fetch @channel --since 24h --telethon`

---

Setup & Installation

Full details in [README.md](./README.md).

Step 1 — Get API Credentials

Go to https://my.telegram.org → **API Development Tools** → create an app → copy `api_id` and `api_hash`.

Step 2 — Save Credentials

**Recommended** (works in agents and servers):

cat > ~/.tg-reader.json << 'EOF'
{
  "api_id": YOUR_ID,
  "api_hash": "YOUR_HASH"
}
EOF
chmod 600 ~/.tg-reader.json

**Alternative** (interactive shell only):

export TG_API_ID=YOUR_ID
export TG_API_HASH="YOUR_HASH"

Set these in your current shell session. Avoid writing `TG_API_HASH` to shell profiles (`~/.bashrc`) — use `~/.tg-reader.json` instead for persistent storage.

> **Note:** Agents and servers don't load shell profiles. Use `~/.tg-reader.json` (the recommended method above) for non-interactive environments.

Step 3 — Install & Configure

npx clawhub@latest install sergei-mikhailov-tg-channel-reader
cd ~/.openclaw/workspace/skills/sergei-mikhailov-tg-channel-reader
bash setup-tg-reader.sh

The setup script: installs Python packages (`pip install .`), checks credentials and session, runs `tg-reader-check`, and prints the exec approval commands for you to run manually.

On Linux with managed Python (Ubuntu/Debian), use a venv **before** running the setup script:

python3 -m venv ~/.venv/tg-reader
echo 'export PATH="$HOME/.venv/tg-reader/bin:$PATH"' >> ~/.bashrc && source ~/.bashrc

<details>

<summary>Manual install (without setup script)</summary>

cd ~/.openclaw/workspace/skills/sergei-mikhailov-tg-channel-reader
pip install pyrogram tgcrypto telethon && pip install .
openclaw approvals allowlist add --gateway "$(which tg-reader)"
openclaw approvals allowlist add --gateway "$(which tg-reader-check)"

</details>

Step 4 — Authenticate

tg-reader auth

Pyrogram will ask to confirm the phone number — answer `y`. The code arrives in the Telegram app (not SMS).

Step 5 — Verify

tg-reader-check

Should return `"status": "ok"`. If not — fix the reported issues and re-run `bash setup-tg-reader.sh`.

---

Scheduled Tasks & Cron

This skill needs network access (MTProto connection to Telegram servers) and a session file. How you configure OpenClaw cron depends on the session target.

> **Important:** When setting up a scheduled task that uses `tg-reader`, tell the user which approach you're using and what it means — so they can make an informed choice.

Option A — `sessionTarget: "main"` (recommended)

The cron task sends a **reminder** to the main agent session. The agent then runs `tg-reader` in the main environment where the skill, credentials, and session file are already available.

**Pros:** No extra configuration — everything works out of the box.

**Cons:** Not fully autonomous — the task sends a system event, the agent picks it up and executes. Requires `payload.kind: "systemEvent"` (OpenClaw cron API limitation for main target).

**How to set up:**

1. Create a cron task with `sessionTarget: "main"` and `payload.kind: "systemEvent"`

2. In the task description, include the exact `tg-reader` command to run

3. The agent receives the reminder and executes the command in its main session

Option B — `sessionTarget: "isolated"` (autonomous, complex setup)

The cron task runs in a **Docker container** — fully autonomous, no agent interaction needed. However, the container starts empty: no skill, no credentials, no session file.

**Pros:** Fully autonomous — runs on schedule without agent involvement.

**Cons:** Requires Docker setup; session file must be mounted into the container (may not work reliably — session files are tied to the machine and Telegram may invalidate them in a new environment).

**Required configuration in `~/.openclaw/openclaw.json`:**

{
  "agents": {
    "defaults": {
      "sandbox": {
        "docker": {
          "setupCommand": "clawhub install sergei-mikhailov-tg-channel-reader && cd ~/.openclaw/workspace/skills/sergei-mikhailov-tg-channel-reader && pip install pyrogram tgcrypto telethon && pip install .",
          "env": {
            "TG_API_ID": "YOUR_ID",
            "TG_API_HASH": "YOUR_HASH",
            "TG_READ_UNREAD": "true"
          }
        }
      }
    }
  }
}

**Session file caveat:** The Telegram session file (`~/.tg-reader-session.session`) must also be available inside the container. This may require Docker volume mounting and might not work reliably — Telegram can invalidate sessions when they appear from a different environment. If you encounter `AUTH_KEY_UNREGISTERED` errors in isolated mode, switch to Option A.

Explicit paths (both options)

When `~/` is not available or points to a different location, use explicit paths:

tg-reader-check \
  --config-file /home/user/.tg-reader.json \
  --session-file /home/user/.tg-reader-session

tg-reader fetch @channel --since 6h \
  --config-file /home/user/.tg-reader.json \
  --session-file /home/user/.tg-reader-session

Both flags work with all subcommands and both backends.

---

Security