High Risk
A self-evolution engine for AI agents. Features automated log analysis and protocol-constrained evolution with auditable assets.
H:4 D:3 A:3 C:1
โ ๏ธ Hazard Flags
EXEC CODE_EXEC FS_READ_WORKSPACE FS_READ_USER FS_WRITE_WORKSPACE FS_WRITE_USER FS_WRITE_SYSTEM FS_DELETE NET_EGRESS_ANY CREDS_ENV CREDS_FILES ACT_POST_PUBLIC PI_WEB PI_DOCUMENTS
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
โ send messagesโ
post publicโ purchaseโ transfer moneyโ deployโ delete external
๐ Containment
Level: maximum
Required:
- APPROVE_POST: Can post publicly
- SANDBOX_CONTAINER: Code execution capability
Recommended:
- LOG_ACTIONS: Audit trail for all actions
โก Risks
Prompt injection patterns detected in: src/gep/selector.js high
Mitigation: Review SKILL.md for hidden instructions. Do not use with untrusted input.
Unauthorized tool use: MCP_SYS_FILE_DESTRUCTION, INSTRUCTED_BINARY_INSTALL critical
Mitigation: Remove destructive file operations.
Command injection risk: COMMAND_INJECTION_EVAL, MCP_CMD_DANGEROUS_SYSTEM critical
Mitigation: Avoid eval(), exec(), and compile(). Use safer alternatives like ast.literal_eval()
Social engineering indicators: SOCIAL_ENG_VAGUE_DESCRIPTION low
Mitigation: Provide clear, detailed description of skill functionality
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:evolver:1.18.0",
"ssds_version": "0.2.0",
"scanner_version": "0.4.0+fe6fd9123d50",
"created_at": "2026-03-16T15:14:23.890Z",
"created_by": {
"agent": "safeagentskills-cli/generate-ssds"
},
"language": "en",
"notes": "Auto-generated SSDS. Manual review recommended."
},
"skill": {
"name": "Evolver 1.17.1",
"version": "1.18.0",
"format": "agent_skill",
"description": "A self-evolution engine for AI agents. Features automated log analysis and protocol-constrained evolution with auditable assets.",
"publisher": "ClawHub",
"source": {
"channel": "clawhub",
"slug": "evolver-1-17-1",
"owner": "muguozi1",
"downloads": 213,
"stars": 2
},
"artifact": {
"sha256": "7951adc3ef4d139ecacb276407f4efb4a3232117459fbb843f44170de647990f",
"hash_method": "files_sorted"
}
},
"capabilities": {
"execution": {
"can_exec_shell": true,
"can_exec_code": true,
"privilege_level": "user",
"can_install_deps": false,
"can_persist": false
},
"filesystem": {
"reads_workspace": true,
"reads_user_home": true,
"reads_system": false,
"writes_workspace": true,
"writes_user_home": true,
"writes_system": true,
"can_delete": true
},
"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": true,
"can_purchase": false,
"can_transfer_money": false,
"can_deploy": false,
"can_delete_external": false
},
"prompt_injection_surfaces": [
"web",
"documents"
],
"content_types": [
"general"
]
},
"hazards": {
"hdac": {
"H": 4,
"D": 3,
"A": 3,
"C": 1
},
"flags": [
"EXEC",
"CODE_EXEC",
"FS_READ_WORKSPACE",
"FS_READ_USER",
"FS_WRITE_WORKSPACE",
"FS_WRITE_USER",
"FS_WRITE_SYSTEM",
"FS_DELETE",
"NET_EGRESS_ANY",
"CREDS_ENV",
"CREDS_FILES",
"ACT_POST_PUBLIC",
"PI_WEB",
"PI_DOCUMENTS"
],
"custom_flags": [
{
"code": "PROMPT_INJECTION",
"name": "Prompt Injection Risk",
"description": "Contains prompt injection patterns in: src/gep/selector.js"
},
{
"code": "FILE_DELETE",
"name": "File Deletion",
"description": "Can delete files in: test/skillDistiller.test.js, src/ops/trigger.js, src/ops/skills_monitor.js, src/ops/self_repair.js, src/ops/lifecycle.js, src/ops/cleanup.js, src/gep/solidify.js, src/evolve.js, scripts/publish_public.js, scripts/build_public.js, index.js"
},
{
"code": "TOOL_ABUSE",
"name": "Unauthorized Tool Use",
"description": "MCP_SYS_FILE_DESTRUCTION, INSTRUCTED_BINARY_INSTALL: File destruction or wiping commands"
},
{
"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": "COMMAND_INJECTION_EVAL, MCP_CMD_DANGEROUS_SYSTEM: Dangerous code execution functions that can execute arbitrary code"
}
],
"confidence": {
"level": "medium",
"basis": [
"static_analysis"
],
"notes": "Detected 5 security patterns (5 vendored rule hits). Review recommended."
},
"rationale": {
"H": "H4: Critical: Privilege escalation or malware detected",
"D": "D3: Credential access detected",
"A": "A3: External actions (deploy/message/post)",
"C": "C1: General content"
}
},
"containment": {
"level": "maximum",
"required": [
{
"control": "APPROVE_POST",
"reason": "Can post publicly"
},
{
"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": "Prompt injection patterns detected in: src/gep/selector.js",
"severity": "high",
"mitigation": "Review SKILL.md for hidden instructions. Do not use with untrusted input."
},
{
"risk": "Unauthorized tool use: MCP_SYS_FILE_DESTRUCTION, INSTRUCTED_BINARY_INSTALL",
"severity": "critical",
"mitigation": "Remove destructive file operations."
},
{
"risk": "Command injection risk: COMMAND_INJECTION_EVAL, MCP_CMD_DANGEROUS_SYSTEM",
"severity": "critical",
"mitigation": "Avoid eval(), exec(), and compile(). Use safer alternatives like ast.literal_eval()"
},
{
"risk": "Social engineering indicators: SOCIAL_ENG_VAGUE_DESCRIPTION",
"severity": "low",
"mitigation": "Provide clear, detailed description of skill functionality"
}
],
"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": "_meta.json",
"file_path": "_meta.json"
},
{
"evidence_id": "EV:file-2",
"type": "file_excerpt",
"title": "test/skillDistiller.test.js",
"file_path": "test/skillDistiller.test.js"
},
{
"evidence_id": "EV:file-3",
"type": "file_excerpt",
"title": "test/selector.test.js",
"file_path": "test/selector.test.js"
},
{
"evidence_id": "EV:file-4",
"type": "file_excerpt",
"title": "test/mutation.test.js",
"file_path": "test/mutation.test.js"
},
{
"evidence_id": "EV:file-5",
"type": "file_excerpt",
"title": "test/contentHash.test.js",
"file_path": "test/contentHash.test.js"
},
{
"evidence_id": "EV:file-6",
"type": "file_excerpt",
"title": "test/a2aProtocol.test.js",
"file_path": "test/a2aProtocol.test.js"
},
{
"evidence_id": "EV:file-7",
"type": "file_excerpt",
"title": "src/ops/trigger.js",
"file_path": "src/ops/trigger.js"
},
{
"evidence_id": "EV:file-8",
"type": "file_excerpt",
"title": "src/ops/skills_monitor.js",
"file_path": "src/ops/skills_monitor.js"
},
{
"evidence_id": "EV:file-9",
"type": "file_excerpt",
"title": "src/ops/self_repair.js",
"file_path": "src/ops/self_repair.js"
},
{
"evidence_id": "EV:file-10",
"type": "file_excerpt",
"title": "src/ops/lifecycle.js",
"file_path": "src/ops/lifecycle.js"
},
{
"evidence_id": "EV:cisco-1",
"type": "file_excerpt",
"title": "MCP_SYS_FILE_DESTRUCTION [CRITICAL] test/skillDistiller.test.js:207: validation: ['node test.js', 'rm -rf /', 'echo $(whoami)', 'npm test'],",
"file_path": "test/skillDistiller.test.js"
},
{
"evidence_id": "EV:cisco-2",
"type": "file_excerpt",
"title": "COMMAND_INJECTION_EVAL [CRITICAL] src/gep/analyzer.js:17: while ((match = failureRegex.exec(content)) !== null) {",
"file_path": "src/gep/analyzer.js"
},
{
"evidence_id": "EV:cisco-3",
"type": "file_excerpt",
"title": "MCP_CMD_DANGEROUS_SYSTEM [CRITICAL] src/evolve.js:274: const wmic = execSync('tasklist /FI \"IMAGENAME eq node.exe\" /NH', {",
"file_path": "src/evolve.js"
},
{
"evidence_id": "EV:cisco-4",
"type": "file_excerpt",
"title": "INSTRUCTED_BINARY_INSTALL [HIGH] SKILL.md:104: npm install -g evolver@latest",
"file_path": "SKILL.md"
},
{
"evidence_id": "EV:cisco-5",
"type": "file_excerpt",
"title": "SOCIAL_ENG_VAGUE_DESCRIPTION [LOW] SKILL.md:1: ---",
"file_path": "SKILL.md"
}
]
}