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Security audit

概念雷达 Concept Radar

Security checks for vulnerabilities and agentic risk

Overview

The skill’s source fetching, local research files, and optional Feishu delivery fit its stated purpose without evidence of malicious behavior.

Review configured sources and local storage paths before use. Gist scans use any existing GITHUB_TOKEN, so unset it if authenticated access is unwanted. Review the digest before explicitly requesting Feishu delivery. Output labels are Chinese.

A.I.G

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

SkillSpector

Vulnerability Patterns
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Output HandlingUnvalidated Output Injection, Cross-Context Output, Unbounded Output
  • MCP Least PrivilegeUnderdeclared Capability, Wildcard Permission, Missing Permission Declaration
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
Findings (4)

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

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/concept_radar.py (reported line 528)May include surrounding context.

python
since = parse_time(cursor) - dt.timedelta(seconds=OVERLAP_SECONDS)
        params["since"] = since.isoformat().replace("+00:00", "Z")
    url = (
        f"https://api.github.com/users/{urllib.parse.quote(username)}/gists"
        + urllib.parse.urlencode(params)
    )
    request_key = canonicalize_url(url)

Digest output uses fixed Chinese headings and labels without a language choice.

Medium
Category
Output Handling
Confidence
96% confidence
Finding

The rendering template unconditionally produces Chinese headings, field labels, and source-link text regardless of the user's language. No language opt-in, locale selection, or region-specific justification is provided in this file.

Content

No source excerpt is available for this finding.

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 · tests/test_concept_radar.py (reported line 131)May include surrounding context.

python
def opener(request, timeout=30):
            url = request.full_url
            calls.append(url)
            if url.startswith("https://api.github.com/"):
                raise urllib.error.HTTPError(
                    url, 403, "rate limited", {"x-ratelimit-remaining": "0"},
                    io.BytesIO(b'{"message":"API rate limit exceeded"}'),