telegram-crabbox-e2e-proof
Use when reviewing, reproducing, or proving OpenClaw Telegram behavior with a real Telegram user on Crabbox, including PR review workflows that need an agent-controlled Telegram Desktop recording, TDLib user-driver commands, Convex-leased credentials, WebVNC observation, and moti
Install caution
Risk: High
Source: OpenClaw Built-in Skills
Path: .agents/skills/telegram-crabbox-e2e-proof/SKILL.md
Review flags: browser/session access, filesystem/home-directory access, network access or external URLs, shell command snippets. These are review signals, not definitive security judgments; inspect before installing.
Required permissions
- • Shell commands
- • Network/API usage
- • Filesystem/home access
- • Browser/session access
Permissions are inferred from SKILL.md text only. They are review prompts, not guarantees about runtime behavior.
Risk flags explained
Mentions browser automation, cookies, sessions, local storage, or browser state.
Mentions filesystem writes, deletes, home-directory paths, or config/key locations.
Mentions external URLs, network APIs, downloads, or HTTP client usage.
Contains shell command snippets. Review commands before copy/paste or agent execution.
Score explanation
Trust
- • Trust starts at 90 before review-signal penalties and metadata bonuses.
- • Risk-signal penalty: -43 from 4 detected flag(s).
- • Metadata bonus: +2 from author/version/description fields.
Utility
- • Utility starts at 55 and rewards clear descriptions, runnable examples, and explicit setup needs.
- • Description present: yes.
- • Command examples detected: 5.
- • Environment variables detected: 0.
Momentum
- • Momentum starts at 45 and uses public repo activity signals.
- • Recent commit activity: latest repo update was 0 day(s) ago.
- • Recent commit volume: 100 commit(s) in the lookback window (+20).
- • Source has strong public adoption: 379781 stars.
- • Fork activity suggests reuse: 79500 forks.
Overall
- • Overall score weights trust 45%, utility 35%, and momentum 20%.
Detected signals
Env vars
None detected in SKILL.md text scan.
Commands
- • python3 /tmp/openclaw-telegram-user-crabbox/user-driver.py chats --json
- • python3 /tmp/openclaw-telegram-user-crabbox/user-driver.py probe --text '@{sut} Reply exactly: USER-E2E-{run}' --expect USER-E2E-
- • python3 /tmp/openclaw-telegram-user-crabbox/user-driver.py send --text '/status@{sut}'
- • python3 /tmp/openclaw-telegram-user-crabbox/user-driver.py status --json
- • python3 /tmp/openclaw-telegram-user-crabbox/user-driver.py transcript --limit 20 --json
URLs
- • http://artifacts.openclaw.ai/tdlib-v1.8.0-linux-x64.tgz
Provenance & evidence
SkillRadar makes each review traceable back to the exact source path, source blob SHA, scanner version, and text-only policy that produced the report.
Evidence snippets
…clean bundle: ```bash mkdir -p .artifacts/qa-e2e/telegram-user-crabbox/pr-123/comparison cp <main-output>/telegram-user-crabbox-session-motion-telegram-window.gif \ .artifacts/qa-…
…USER_PROOF_CMD:-openclaw-telegram-user-crabbox-proof}" "$proof_cmd" start \ --tdlib-url http://artifacts.openclaw.ai/tdlib-v1.8.0-linux-x64.tgz \ --output-dir .artifacts/qa-e2e/telegr…
…en bot-to-bot proof is not enough. The goal is to let the agent keep a real Telegram user session open until it is satisfied, then attach visual proof. Do not use personal accounts. Do n…
…burner account from Convex. ## Start Run from the OpenClaw repo and branch under test: ```bash proof_cmd="${OPENCLAW_TELEGRAM_USER_PROOF_CMD:-openclaw-telegram-user-crabbox-proof}" "$p…
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Join watchlist betaMethodology note
SkillRadar scans SKILL.md as hostile text only. It does not execute commands, install packages, or load third-party skills.