Trust Assessment
drones-moltbook-cli received a trust score of 10/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.
SkillShield's automated analysis identified 9 findings: 2 critical, 2 high, 5 medium, and 0 low severity. Key findings include Arbitrary command execution, Missing required field: name, Dangerous call: subprocess.run().
The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The Manifest Analysis layer scored lowest at 40/100, indicating areas for improvement.
Last analyzed on February 13, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Behavioral Risk Signals
Security Findings9
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| CRITICAL | Arbitrary command execution Python shell execution (os.system, subprocess) Review all shell execution calls. Ensure commands are static (not built from user input), use absolute paths, and are strictly necessary. Prefer library APIs over shell commands. | Manifest | skills/drones277/drones-moltbook-cli/scripts/heartbeat.py:21 | |
| CRITICAL | Arbitrary command execution Python shell execution (os.system, subprocess) Review all shell execution calls. Ensure commands are static (not built from user input), use absolute paths, and are strictly necessary. Prefer library APIs over shell commands. | Manifest | skills/drones277/drones-moltbook-cli/scripts/moltbook.py:262 | |
| HIGH | Dangerous call: subprocess.run() Call to 'subprocess.run()' detected in function 'run'. This can execute arbitrary code. Avoid using dangerous functions like exec/eval/os.system. Use safer alternatives. | Static | skills/drones277/drones-moltbook-cli/scripts/heartbeat.py:21 | |
| HIGH | Dangerous call: subprocess.run() Call to 'subprocess.run()' detected in function 'openclaw_generate'. This can execute arbitrary code. Avoid using dangerous functions like exec/eval/os.system. Use safer alternatives. | Static | skills/drones277/drones-moltbook-cli/scripts/moltbook.py:262 | |
| MEDIUM | Missing required field: name The 'name' field is required for claude_code skills but is missing from frontmatter. Add a 'name' field to the SKILL.md frontmatter. | Static | skills/drones277/drones-moltbook-cli/SKILL.md:1 | |
| MEDIUM | Suspicious import: urllib.request Import of 'urllib.request' detected. This module provides network or low-level system access. Verify this import is necessary. Network and system modules in skill code may indicate data exfiltration. | Static | skills/drones277/drones-moltbook-cli/scripts/moltbook.py:9 | |
| MEDIUM | API Key stored in plaintext environment file The `moltbook.py` script loads the `MOLTBOOK_KEY` from `/opt/moltbook-cli/.env` (or `scripts/.env` as per `SKILL.md`). This key is then used in API requests. Storing API keys in plaintext files, even if in a designated environment file, poses a risk if the skill's environment or filesystem is compromised, allowing an attacker to read the file and exfiltrate the credential. Consider using a secure secrets management system or environment variables managed by the host environment rather than plaintext files. Ensure the `.env` file has restricted permissions (e.g., `chmod 600`). | LLM | scripts/moltbook.py:13 | |
| MEDIUM | Telegram API Token stored in plaintext environment file The `notify.sh` script sources `/opt/moltbook-cli/notify.env` to retrieve `TELEGRAM_NOTIFY_TOKEN` and `TELEGRAM_NOTIFY_CHAT_ID`. These credentials are then used to send messages via the Telegram API. Storing sensitive tokens in plaintext files increases the risk of credential compromise if the skill's environment or filesystem is breached. Implement a secure secrets management solution. Ensure the `notify.env` file has restricted permissions (e.g., `chmod 600`). | LLM | scripts/notify.sh:6 | |
| MEDIUM | Hardcoded dependency on external skill's script The `heartbeat.py` script directly calls an external Python script located at `/root/.openclaw/workspace/skills/openclaw-token-optimizer/scripts/heartbeat_optimizer.py`. This creates a hardcoded dependency on another skill's component. If the `openclaw-token-optimizer` skill is compromised, malicious code could be executed through this dependency, affecting the `drones-moltbook-cli` skill. This also makes the skill less portable and more brittle. Avoid hardcoding paths to external skill components. If functionality from another skill is required, consider using a more robust inter-skill communication mechanism or bundling necessary components directly within the skill, ensuring proper versioning and integrity checks. | LLM | scripts/heartbeat.py:6 |
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