Moltmemory
ยท v1.5.5
"Thread continuity + CAPTCHA solver for OpenClaw agents on Moltbook. Tracks engaged threads across heartbeats, surfaces only new replies, includes a feed cursor and auto-solver for Moltbook's obfuscated math challenges. Zero dependencies, pure Python stdlib. Use when your agent needs persistent memory on Moltbook."
โ ๏ธ Hazard Flags
๐ Capabilities
Execution
- โ Shell execution
- โ Code execution
- โ Install dependencies
- โ Persistence
- Privilege: user
Filesystem
- โ Read workspace
- โ Write workspace
- โ Read home
- โ Write home
- โ Read system
- โ Delete
Network
- Egress: any
- โ Ingress
Credentials
- โ Environment vars
- โ Credential files
- โ Browser data
- โ Keychain
Actions
๐ Containment
Level: maximum
- SANDBOX_CONTAINER: Code execution capability
- LOG_ACTIONS: Audit trail for all actions
โก Risks
Mitigation: Use pre-built packages or vendored dependencies instead of cloning repos
Mitigation: Provide clear, detailed description of skill functionality
Mitigation: Ensure network access is necessary and documented
Want a deeper analysis?
This report was generated by static analysis. Get an LLM-powered deep review with behavioral reasoning and attack surface mapping.
๐ง Deep Analysis โ $5.00๐จ Incident Response
Kill switch: Stop the agent process
Containment: Review logs for unexpected actions
Recovery: Depends on skill capabilities
๐ Raw SSDS JSON click to expand
{
"meta": {
"document_id": "ssds:auto:moltmemory:1.5.5",
"ssds_version": "0.2.0",
"scanner_version": "0.4.0+fe6fd9123d50",
"created_at": "2026-03-05T15:07:49.838Z",
"created_by": {
"agent": "safeagentskills-cli/generate-ssds"
},
"language": "en",
"notes": "Auto-generated SSDS. Manual review recommended."
},
"skill": {
"name": "Moltmemory",
"version": "1.5.5",
"format": "agent_skill",
"description": "\"Thread continuity + CAPTCHA solver for OpenClaw agents on Moltbook. Tracks engaged threads across heartbeats, surfaces only new replies, includes a feed cursor and auto-solver for Moltbook's obfuscated math challenges. Zero dependencies, pure Python stdlib. Use when your agent needs persistent memory on Moltbook.\"",
"publisher": "unknown",
"source": {
"channel": "local"
},
"artifact": {
"sha256": "72aecae89a038698ae45beeafccfb0967ec72168b99096ceb2566b89a70027ca",
"hash_method": "files_sorted"
}
},
"capabilities": {
"execution": {
"can_exec_shell": true,
"can_exec_code": false,
"privilege_level": "user",
"can_install_deps": false,
"can_persist": false
},
"filesystem": {
"reads_workspace": false,
"reads_user_home": true,
"reads_system": false,
"writes_workspace": false,
"writes_user_home": false,
"writes_system": false,
"can_delete": false
},
"network": {
"egress": "any",
"ingress": false
},
"credentials": {
"reads_env_vars": true,
"reads_credential_files": true,
"reads_browser_data": false,
"reads_keychain": false
},
"services": [
{
"service": "code_hosting",
"operations": [
"read",
"write"
]
}
],
"actions": {
"can_send_messages": false,
"can_post_public": false,
"can_purchase": false,
"can_transfer_money": false,
"can_deploy": false,
"can_delete_external": false
},
"prompt_injection_surfaces": [
"web"
],
"content_types": [
"general"
]
},
"hazards": {
"hdac": {
"H": 4,
"D": 4,
"A": 2,
"C": 1
},
"flags": [
"EXEC",
"FS_READ_USER",
"NET_EGRESS_ANY",
"CREDS_ENV",
"CREDS_FILES",
"PI_WEB"
],
"custom_flags": [
{
"code": "TOOL_ABUSE",
"name": "Unauthorized Tool Use",
"description": "INSTRUCTED_GIT_CLONE_AND_BUILD: Instructs agent to clone and potentially build from source"
},
{
"code": "SOCIAL_ENGINEERING",
"name": "Social Engineering Risk",
"description": "SOCIAL_ENG_VAGUE_DESCRIPTION: Skill description is too vague or missing"
},
{
"code": "COMMAND_INJECTION",
"name": "Command Injection Risk",
"description": "TIRITH_DOTFILE_OVERWRITE: Redirecting output to home directory dotfiles (shell config, SSH keys, etc.)"
},
{
"code": "DATA_EXFILTRATION",
"name": "Data Exfiltration Risk",
"description": "DATA_EXFIL_NETWORK_REQUESTS, DATA_EXFIL_SENSITIVE_FILES: HTTP client library imports that enable external communication"
}
],
"confidence": {
"level": "medium",
"basis": [
"static_analysis"
],
"notes": "Detected 4 security patterns (6 vendored rule hits). Review recommended."
},
"rationale": {
"H": "H4: Critical: Privilege escalation or malware detected",
"D": "D4: Critical: Credential theft or data exfiltration",
"A": "A2: Service integrations detected",
"C": "C1: General content"
}
},
"containment": {
"level": "maximum",
"required": [
{
"control": "SANDBOX_CONTAINER",
"reason": "Code execution capability"
}
],
"recommended": [
{
"control": "LOG_ACTIONS",
"reason": "Audit trail for all actions"
}
],
"uncontained_risk": "Risk level depends on manual review of actual capabilities."
},
"risks": {
"risks": [
{
"risk": "Unauthorized tool use: INSTRUCTED_GIT_CLONE_AND_BUILD",
"severity": "medium",
"mitigation": "Use pre-built packages or vendored dependencies instead of cloning repos"
},
{
"risk": "Command injection risk: TIRITH_DOTFILE_OVERWRITE",
"severity": "high"
},
{
"risk": "Social engineering indicators: SOCIAL_ENG_VAGUE_DESCRIPTION",
"severity": "low",
"mitigation": "Provide clear, detailed description of skill functionality"
},
{
"risk": "Data exfiltration patterns: DATA_EXFIL_NETWORK_REQUESTS, DATA_EXFIL_SENSITIVE_FILES",
"severity": "high",
"mitigation": "Ensure network access is necessary and documented"
}
],
"limitations": [
"Static analysis only - runtime behavior not verified"
]
},
"incident_response": {
"kill_switch": [
"Stop the agent process"
],
"containment": [
"Review logs for unexpected actions"
],
"recovery": [
"Depends on skill capabilities"
]
},
"evidence": [
{
"evidence_id": "EV:file-1",
"type": "file_excerpt",
"title": "moltbook.py",
"file_path": "moltbook.py"
},
{
"evidence_id": "EV:file-2",
"type": "file_excerpt",
"title": "README.md",
"file_path": "README.md"
},
{
"evidence_id": "EV:file-3",
"type": "file_excerpt",
"title": "SKILL.md",
"file_path": "SKILL.md"
},
{
"evidence_id": "EV:file-4",
"type": "file_excerpt",
"title": "_meta.json",
"file_path": "_meta.json"
},
{
"evidence_id": "EV:cisco-1",
"type": "file_excerpt",
"title": "DATA_EXFIL_NETWORK_REQUESTS [MEDIUM] moltbook.py:10: import urllib.request, urllib.error",
"file_path": "moltbook.py"
},
{
"evidence_id": "EV:cisco-2",
"type": "file_excerpt",
"title": "DATA_EXFIL_SENSITIVE_FILES [HIGH] moltbook.py:19: STATE_FILE = Path(os.environ.get(\"MOLTMEMORY_STATE\", \"~/.config/moltbook/state.j",
"file_path": "moltbook.py"
},
{
"evidence_id": "EV:cisco-3",
"type": "file_excerpt",
"title": "INSTRUCTED_GIT_CLONE_AND_BUILD [MEDIUM] README.md:34: git clone https://github.com/ubgb/moltmemory ~/.openclaw/skills/moltmemory",
"file_path": "README.md"
},
{
"evidence_id": "EV:cisco-4",
"type": "file_excerpt",
"title": "TIRITH_DOTFILE_OVERWRITE [HIGH] README.md:38: curl -s https://raw.githubusercontent.com/ubgb/moltmemory/main/moltbook.py > ~/.",
"file_path": "README.md"
},
{
"evidence_id": "EV:cisco-5",
"type": "file_excerpt",
"title": "SOCIAL_ENG_VAGUE_DESCRIPTION [LOW] SKILL.md:1: ---",
"file_path": "SKILL.md"
},
{
"evidence_id": "EV:cisco-6",
"type": "file_excerpt",
"title": "TIRITH_DOTFILE_OVERWRITE [HIGH] SKILL.md:42: curl -s https://raw.githubusercontent.com/YOUR_REPO/moltmemory/main/SKILL.md > ~",
"file_path": "SKILL.md"
}
]
}