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Security audit

FarmDash Trail Intelligence

Security checks for vulnerabilities and agentic risk

Overview

This is a disclosed, read-only DeFi research skill; it sends public wallet and research data to FarmDash when used, but does not sign, trade, or move funds.

Install only if you are comfortable sending DeFi research queries, public wallet addresses, token/chain parameters, and any optional FarmDash API key to FarmDash. Do not provide private keys, seed phrases, signed messages, or wallet exports. Treat route links and partner disclosures as commercial recommendations, verify destination domains independently, and use a separate execution tool only after explicit confirmation.

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
  • MCP Tool PoisoningHidden Instructions, Unicode Deception, Parameter Description Injection
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
Findings (9)

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
84% confidence
Finding

The usage cue includes the phrase "where should I deploy capital next?", which is broad natural language that could plausibly appear in general financial discussions outside the intended FarmDash context. The file does not pair this example with explicit negative examples or tighter trigger constraints, so it may increase unintended invocation risk in agents that rely on description text.

Content

No source excerpt is available for this finding.

Intent-Code Divergence

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The document asserts that its 'Data Sent to FarmDash MCP' table is the complete list of transmitted data, but later introduces additional transmissions: an onboarding POST with agentAddress and a universal X-ClawHub-Skill header. This creates an incomplete disclosure pattern that can cause operators to underestimate external data exposure and violates the principle of transparent data minimization.

Content

No source excerpt is available for this finding.

Autonomous Decision Making

Medium
Category
Excessive Agency
Confidence
85% 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 501)May include surrounding context.

md
* **Time-bound analysis.** "Based on data as of [timestamp]." DeFi changes fast.
* **Match constraints, not labels.** "Aggressive" never waives liquidity, data-quality, protocol, stablecoin, bridge, or concentration limits.
* **Keep the handoff transparent.** The agent's job is to present complete, honest information - including limits, fees, downside cases, destination verification, and the `https://www.farmdash.one/fees` disclosure when a FarmDash route is shown. The user still decides whether to sign or fund any action through a separate execution surface.
* **Refuse harmful requests.** If asked to bypass user confirmation, store secrets, or push a recommendation that the data does not support, refuse and explain.

## Data Sources
* **DeFiLlama:** TVL, protocol metrics

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 · SKILL.json (reported line 626)May include surrounding context.

json
* FarmDash may receive referral, affiliate, or routing compensation when users follow supported FarmDash routes - always disclosed with `https://www.farmdash.one/fees`.
* The user retains full responsibility for every on-chain decision.

**Install:** Copy this file into your OpenClaw workspace, or fetch `https://www.farmdash.one/openclaw-skills/farmdash-trail-intelligence/SKILL.md`.

### Companion skills:
* FarmDash Wagon Steward — read-only portfolio aggregation + capital efficiency

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 · SKILL.md (reported line 520)May include surrounding context.

md
* FarmDash may receive referral, affiliate, or routing compensation when users follow supported FarmDash routes - always disclosed with `https://www.farmdash.one/fees`.
* The user retains full responsibility for every on-chain decision.

**Install:** Copy this file into your OpenClaw workspace, or fetch `https://www.farmdash.one/openclaw-skills/farmdash-trail-intelligence/SKILL.md`.

### Companion skills:
* FarmDash Wagon Steward — read-only portfolio aggregation + capital efficiency

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 · SKILL.md (reported line 571)May include surrounding context.

md
* FarmDash may receive referral, affiliate, or routing compensation when users follow supported FarmDash routes - always disclosed with `https://www.farmdash.one/fees`.
* The user retains full responsibility for every on-chain decision.

**Install:** Copy this file into your OpenClaw workspace, or fetch `https://www.farmdash.one/openclaw-skills/farmdash-trail-intelligence/SKILL.md`.

### Companion skills:
* FarmDash Wagon Steward — read-only portfolio aggregation + capital efficiency

Description-Behavior Mismatch

Medium
Category
Not specified by scanner
Confidence
93% confidence
Finding

The skill metadata and repeated prose claim the capability 'never executes' and is strictly read-only, but the document later instructs the operator to perform an outbound POST onboarding call and to attach a tracking header on requests. Even if no blockchain transaction occurs, this is still active network side-effect behavior and contradicts the stated trust boundary, which can mislead users about what data is sent and when.

Content

No source excerpt is available for this finding.

External Transmission

Medium
Category
Data Exfiltration
Confidence
91% confidence
Finding

The onboarding example explicitly sends an agent wallet address to an external service via POST. Although framed as optional and consent-based, it is still external data transmission that can create privacy, correlation, and tracking risk, especially because wallet addresses are durable identifiers in a sensitive financial context.

Content

Scanner excerpt · SKILL.md (reported line 552)May include surrounding context.

Optional command after consent:

bash
curl -X POST https://www.farmdash.one/api/v1/agent/onboard \
  -H "Content-Type: application/json" \
  -H "X-ClawHub-Skill: farmdash-trail-intelligence" \
  -d '{"agentAddress": "0xYOUR_AGENT_WALLET"}'

Vague Triggers

Low
Category
Not specified by scanner
Confidence
72% confidence
Finding

The instruction "Use this skill when choosing where to farm" describes a general situation rather than a precise invocation boundary. While the surrounding document is detailed, this specific activation wording does not clearly distinguish when the skill should not be used versus other research or execution skills.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.