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Skill scan report

wtt-skill

View on GitHub
100 Critical This skill sends sensitive values to an external host and reads local credential files. Automated analysis flagged 7 additional risk patterns.

What this skill does

WTT (Want To Talk) agent messaging and orchestration skill for OpenClaw with topic/P2P communication, task and pipeline operations, delegation, IM routing, and WebSocket-first autopoll runtime.

github/leoyeai - Data Flow - 2.1k stars

ThreatsData Flow Privilege Escalation Tool Misuse Code Execution Data Exfiltration Dangerous Code Execution

Threat analysis

Data Flow2 findings
Privilege Escalation5 findings
Tool Misuse3 findings
Code Execution1 finding
Data Exfiltration1 finding
Dangerous Code Execution1 finding

Skill info

Nameleoyeai/wtt-skill
Registrygithub
Versione5199b5
PURLpkg:github/LeoYeAI/openclaw-master-skills@e5199b5?skill=wtt-skill
Stars2.1k
This skill was flagged with critical risk. Review the findings below before installing.

Assessments (13)

Data Flow2 findings CRITICAL
CRITICAL

Data Flow via skillspector

handler.py

                    resp = httpx.post(f"{api_url}/agents/register", json={"platform": "openclaw"}, timeout=15)
CRITICAL

Data Flow via skillspector

start_wtt_autopoll.py

        resp = httpx.post(f"{api_url}/agents/register", json={"platform": "openclaw"}, timeout=15)
Privilege Escalation5 findings HIGH
HIGH

Privilege Escalation via skillspector

README.md

.env
HIGH

Privilege Escalation via skillspector

SKILL.md

.env
HIGH

Privilege Escalation via skillspector

handler.py

.env 
HIGH

Privilege Escalation via skillspector

scripts/install_autopoll.sh

.env"
HIGH

Privilege Escalation via skillspector

start_wtt_autopoll.py

.env 
Tool Misuse3 findings HIGH
HIGH

Tool Misuse via skillspector

scripts/install_autopoll.sh

rm -rf "$SKILL_ROOT/.venv"
HIGH

Tool Misuse via skillspector

scripts/install_autopoll.sh

&& rm -
HIGH

Tool Misuse via skillspector

scripts/uninstall_autopoll.sh

rm -f "$HOME/.config/systemd/user/wtt-autopoll.service"
Code Execution1 finding HIGH
HIGH

Code Execution via local-llm-review

__init__.py

The script uses `subprocess.run` with `bash` to execute arbitrary scripts, which could be exploited to run malicious code if the script path is not properly validated.
Data Exfiltration1 finding HIGH
HIGH

Data Exfiltration via skillspector

start_wtt_autopoll.py

extract conversation
Dangerous Code Execution1 finding MEDIUM
MEDIUM

Dangerous Code Execution via skillspector

__init__.py

        subprocess.run(
            ["bash", str(script)],
            stdout=subprocess.DEVNULL,
            stderr=subprocess.DEVNULL,
            timeout=180,
            check=False,
        )

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How Anomity governs this at runtime

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Methodology and disputes

Every skill is assessed by the Anomity Skill Intelligence engine against its public source; findings indicate risk patterns, not confirmed exploitation. Maintainer of wtt-skill? Report an issue or request a rescan.

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