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Security audit

Mythos

Security checks for vulnerabilities and agentic risk

Overview

The skill is a reasoning helper, but it also recommends persistent global agent behavior changes and unpinned external script execution that users should review first.

Install the /mythos command only if you want a reasoning-workflow skill that may use parallel subagents. Do not add the CLAUDE.md snippet unless you intentionally want it to affect all future non-trivial agent requests, and avoid running the external calibration scripts unless you first inspect them and pin or verify the source revision.

Vulnerability Patterns
  • Agent Memory PoisoningWrites attacker-controlled rules into memory that affect later sessions
  • Insecure DependenciesIntroduces malicious components through unsafe dependency sources
  • Skill Instruction HijackingAlters the agent's session goals or safety constraints when the skill loads
  • 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
Findings (2)

T02 · Agent Memory Poisoning

Warning
Location
references/mythos-init.md:3
Finding

Persistent Global Agent Behavior Modification Through CLAUDE.md

Content
View full analysis
Remediation
View remediation

T08 · Insecure Dependencies

Warning
Location
tests/README.md:17
Finding

Execution of Unbundled and Unpinned Scripts From a Mutable External Repository

Content
View full analysis
Remediation
View remediation
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
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
Findings (7)

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
94% confidence
Finding

The skill description is broad enough to match many ordinary requests for analysis, planning, or design work, which can cause accidental over-invocation. That increases the chance the skill hijacks normal user interactions, applies its own routing/behavior unexpectedly, and triggers subagent-heavy processing without clear user intent.

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 293)May include surrounding context.

md
## Example 3 — Agent Mode (default for complexity 4-5, parallel fan-out)

**User:** `/mythos deep Is it ethical to train AI on public web data without consent?`

### What the user sees

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 · references/examples.md (reported line 157)May include surrounding context.

md
## Example 3 — Agent Mode (default for complexity 4-5, parallel fan-out)

**User:** `/mythos deep Is it ethical to train AI on public web data without consent?`

### What the user sees

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 · references/examples.md (reported line 198)May include surrounding context.

md
## Example 3 — Agent Mode (default for complexity 4-5, parallel fan-out)

**User:** `/mythos deep Is it ethical to train AI on public web data without consent?`

### What the user sees

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
94% confidence
Finding

Line L361 states a load-bearing assumption that the team writes commits in English. This is a natural-language locale policy constraint presented without opt-in, alternatives, or a documented regional/compliance justification, which can exclude users working in other languages.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
89% confidence
Finding

The document’s operative instructions are written in Chinese and direct the user to enable the protocol via CLAUDE.md, but there is no indication that language choice is optional or user-selectable. This creates a natural-language locale policy concern because the skill appears to assume a specific language context without documenting opt-in or offering alternatives.

Content

No source excerpt is available for this finding.

Skill Enumeration

Medium
Category
Agent Snooping
Confidence
80% confidence
Finding

Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.

Content

Scanner excerpt · references/mythos-init.md (reported line 14)May include surrounding context.

md
1. **Assess complexity (1-5):**
   - **1:** respond directly. Zero overhead. Do NOT load any skill.
   - **2-5:** Read `.claude/skills/mythos/SKILL.md` and follow STEP 1–3. SKILL.md is the single source of mode routing — it will pick:
     - **silent mode** (complexity 2-3, default) — Recurrent Block runs in your internal/extended-thinking reasoning; user sees only Coda
     - **agent mode** (complexity 4-5, default) — lenses dispatched as parallel subagents, then merged
     - **trace mode** (only if user explicitly used `trace` keyword) — visible token-level rounds