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Security audit

content-claim-navigator

Security checks for vulnerabilities and agentic risk

Overview

The skill helps creators understand and organize copyright claims while keeping filings and account actions under their control.

Review your AI host's privacy and memory settings before sharing claim documents. Verify deadlines in the platform dashboard. Running the evaluation helper sends test content to Anthropic and may incur API charges; scheduled link checks require separate setup.

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
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • Taint TrackingDirect Taint Flow, Variable-Mediated Taint Flow, Credential Exfiltration Chain
  • MCP Least PrivilegeUnderdeclared Capability, Wildcard Permission, Missing Permission Declaration
Findings (7)

Tainted flow: 'req' from os.environ.get (line 137, credential/environment) → urllib.request.urlopen (network output)

Critical
Category
Data Flow
Confidence
90% confidence
Finding

Credentials or environment variables flow to a network sink. This is a high-confidence indicator of credential exfiltration.

Content

Scanner excerpt · scripts/run_evals.py (reported line 141)May include surrounding context.

python
API_URL, data=body, method="POST",
        headers={"Content-Type": "application/json", "x-api-key": key,
                 "anthropic-version": "2023-06-01"})
    with urllib.request.urlopen(req, timeout=120) as resp:
        data = json.loads(resp.read())
    return "".join(b.get("text", "") for b in data.get("content", [])
                   if b.get("type") == "text")

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

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.

Autonomous Decision Making

Medium
Category
Excessive Agency
Confidence
75% confidence
Finding

Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.

Content

Scanner excerpt · SKILL.md (reported line 200)May include surrounding context.

md
third-party personal data (a bystander's email in a thread, for
example). Preserve claimant business and legal-entity information;
notices are legally required to contain it and it is core evidence.
Never redact the user's own information without asking first. The
livelihood-critical flag is session-scoped: it calibrates warnings in
the conversation and is never written into the organizer unless the
user asks for it there.

Autonomous Decision Making

Medium
Category
Excessive Agency
Confidence
75% confidence
Finding

Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.

Content

Scanner excerpt · SKILL.md (reported line 248)May include surrounding context.

md
the link for the step under discussion stays surfaced nearby (repeated
at the step, and listed in the organizer's sources) so the artist,
manager, or team can reference the official documentation at any
moment without asking. Links come only from live verification of
current official help centers (YouTube Help, Meta Business Help, and
platform equivalents), never from memory, never from third-party
summaries, forums, or news coverage. Whenever a formal

Autonomous Decision Making

Medium
Category
Excessive Agency
Confidence
75% confidence
Finding

Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.

Content

Scanner excerpt · SKILL.md (reported line 832)May include surrounding context.

md
read-back renders as two plain lists ("here's what I could read" and
"here's what I still need"), and nothing extracted enters the
organizer, the timeline, or any severity calculation until the user
confirms or corrects it. No confirmation, no continuation on that
data. PII handling per S-04 applies to everything shared, and the
question path below remains fully available at any moment, including
mid-parse.

External Transmission

Medium
Category
Data Exfiltration
Confidence
60% confidence
Finding

Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

Content

Scanner excerpt · scripts/run_evals.py (reported line 39)May include surrounding context.

python
from pathlib import Path

ROOT = Path(__file__).resolve().parent.parent
API_URL = "https://api.anthropic.com/v1/messages"
MODEL = os.environ.get("EVAL_MODEL", "claude-sonnet-4-6")
JUDGE_MODEL = os.environ.get("JUDGE_MODEL", "claude-opus-4-8")

The activation condition “or when the user is in the EU” is overly broad and lacks a legal-topic constraint.

Low
Category
Trigger Abuse
Confidence
94% confidence
Finding

The description makes EU location an independent reason to read this reference, even when the user's request does not involve legal assistance or platform disputes. Unlike the preceding counsel-recommendation trigger, this condition does not specify a relevant user intent.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.