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Security audit

AI Podcast · Solo or Two-Host Episode Voiceover

Security checks for vulnerabilities and agentic risk

Overview

ClawScan rates this skill benign with medium confidence: the findings appear consistent with its stated podcast voiceover purpose, though some usage and permission details merit attention and coverage is partial.

The verdict is benign, not risk-free. Before installing, consider whether the skill's detected environment, file, network, and shell capabilities fit your needs, whether the lack of a declared tool scope is acceptable, and whether Chinese-only show-note labels or requests without a timeout would affect your use. Skillspector inspected all seven listed components, but analysis is marked partial because some local references could not be resolved; the evidence is therefore incomplete.

Vulnerability Patterns
  • Skill Instruction HijackingAlters the agent's session goals or safety constraints when the skill loads
  • Agent Memory PoisoningWrites attacker-controlled rules into memory that affect later sessions
  • Remote Payload Retrieval and ExecutionFetches external code whose behavior can change after review
  • Embedded Malicious CodeShips malicious scripts inside the skill and executes them locally
  • Unauthorized Access and Privilege EscalationObtains permissions beyond the task's legitimate needs
Vulnerability Patterns
  • Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep
  • Output HandlingUnvalidated Output Injection, Cross-Context Output, Unbounded Output
  • Behavioral ASTexec() Call, eval() Call, Dynamic Import
  • MCP Least PrivilegeUnderdeclared Capability, Wildcard Permission, Missing Permission Declaration
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
Findings (6)

Skill declares no tool scope ('permissions' or 'allowed-tools') but code capabilities were detected: env, file_read, network, shell.

Medium
Category
MCP Least Privilege
Confidence
70% confidence
Finding

Without declared permissions the skill's intent is opaque and cannot be validated.

Content

No source excerpt is available for this finding.

Unbounded Resource Access

Medium
Category
Excessive Agency
Confidence
75% confidence
Finding

Skill allows unbounded resource consumption (API calls, storage, compute). Without rate limits or quotas, a compromised or misbehaving agent can cause denial-of-service or cost overruns.

Content

Scanner excerpt · scripts/miragea_audio.py (reported line 40)May include surrounding context.

python
self.timeout = timeout
        self.opener = urllib.request.build_opener(NoRedirect())

    def request(self, method, path, payload=None, content_type=None, key=None, timeout=None):
        headers = {'Authorization': 'Bearer ' + self.key, 'Accept': 'application/json'}
        if content_type:
            headers['Content-Type'] = content_type

Unbounded Resource Access

Medium
Category
Excessive Agency
Confidence
75% confidence
Finding

Skill allows unbounded resource consumption (API calls, storage, compute). Without rate limits or quotas, a compromised or misbehaving agent can cause denial-of-service or cost overruns.

Content

Scanner excerpt · scripts/miragea_audio.py (reported line 59)May include surrounding context.

python
except (urllib.error.URLError, TimeoutError, OSError, ValueError) as exc:
            raise ClientError({'error': {'code': 'request_failed', 'message': 'API request failed; submission outcome may be unknown. Reuse the same idempotency key for the same payload.'}}) from None

    def task(self, task_id, timeout=None):
        return self.request('GET', '/tasks/' + urllib.parse.quote(task_id, safe=''), timeout=timeout)

    def capabilities(self):

Generated show notes use fixed Chinese labels without a language choice.

Medium
Category
Output Handling
Confidence
94% confidence
Finding

The generated show notes always use Chinese labels for duration, timeline, and transcript, regardless of the input script's language. No language opt-in or documented locale-specific justification is provided.

Content

No source excerpt is available for this finding.

subprocess module call

Medium
Category
Dangerous Code Execution
Confidence
70% confidence
Finding

subprocess module calls execute external commands. Without careful input validation, this enables command injection.

Content

Scanner excerpt · scripts/voiceover.py (reported line 163)May include surrounding context.

python
cmd += [flag, str(p[k])]
    for t in p.get("tags", []):
        cmd += ["--tag=" + t]
    r = subprocess.run(cmd, capture_output=True, text=True)
    if r.returncode != 0 or not os.path.exists(out_path):
        sys.stderr.write(r.stdout + r.stderr)
        raise ScriptError("generate failed for: %s... Re-run the same command to resume; the same idempotency key "

Dynamic attribute access via getattr()

Low
Category
Dangerous Code Execution
Confidence
50% confidence
Finding

Dynamic getattr() with a non-literal attribute name can access arbitrary object attributes, potentially bypassing access controls.

Content

Scanner excerpt · scripts/miragea_audio.py (reported line 203)May include surrounding context.

python
raise ValueError('--reference-text requires --reference-audio-url.')
                payload = {'text': args.text if args.text is not None else args.text_file.read_text(encoding='utf-8')}
                for field in ('actor_id', 'reference_audio_url', 'reference_text', 'model', 'format', 'speed', 'tags', 'language'):
                    value = getattr(args, field)
                    if value is not None:
                        payload[field] = value
                result = client.request('POST', '/audio/generations', json.dumps(payload).encode(), 'application/json', submission_key)