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Security audit

Fitness Finder

Security checks for vulnerabilities and agentic risk

Overview

The skill appears to perform its stated fitness-location search function, but users should understand it sends search/location data to Camino AI and relies on a Camino API key.

Install only if you are comfortable sending fitness-search queries, coordinates, and trial signup email data to Camino AI. Prefer a reviewed or pinned install source when available, use a Camino-specific API key with limited value, and be careful storing it in shared Claude Code settings where other sessions or skills may access it.

Vulnerability Patterns
  • Insecure DependenciesIntroduces malicious components through unsafe dependency sources
  • 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
Findings (1)

T08 · Insecure Dependencies

Warning
Location
SKILL.md:10
Finding

Unpinned Third-Party Installation Commands Permit Supply-Chain Compromise

Content
View full analysis
Remediation
View remediation
install fitness-finder npx skills add https://github.com/barneyjm/camino-skills# --skill fitness-finder ``` The placeholders must be replaced with versions and commit identifiers that have actually been reviewed and approved. ]]>
Vulnerability Patterns
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
  • 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 (10)

Agent Config Directory Access

High
Category
Agent Snooping
Confidence
90% confidence
Finding

The skill instructs users to place an API key in ~/.claude/settings.json, which is a sensitive agent configuration location. Modifying this file can broaden secret exposure to other skills or processes using the same environment, and normalizing edits to the agent config increases the chance of unsafe secret handling.

Content

Scanner excerpt · SKILL.md (reported line 46)May include surrounding context.

Add your key to Claude Code:

Add to your ~/.claude/settings.json:

json
{

Undeclared Tool Scope

Medium
Category
MCP Least Privilege
Confidence
92% confidence
Finding

The skill documents shell-based execution paths (./scripts/..., curl, npx) but does not declare any permissions or allowed-tools scope. In an agent ecosystem, missing tool scoping weakens least-privilege controls and can allow broader shell use than the user expects when invoking the skill.

Content

No source excerpt is available for this finding.

Rp1

Medium
Category
MCP Rug Pull
Confidence
95% confidence
Finding

Using npx skills add https://github.com/barneyjm/camino-skills without pinning a version or immutable commit exposes users to supply-chain risk if the package, installer behavior, or referenced repository changes. A future malicious or compromised update could cause different code to be installed than what was reviewed.

Content

No source excerpt is available for this finding.

Rp1

Medium
Category
MCP Rug Pull
Confidence
95% confidence
Finding

The skill-specific install command still references an unpinned remote source via npx skills add ... --skill fitness-finder, so the fetched code can change over time. This creates a supply-chain exposure where later repository modifications may introduce malicious behavior under the same install instructions.

Content

No source excerpt is available for this finding.

Rp1

Medium
Category
MCP Rug Pull
Confidence
94% confidence
Finding

npx clawhub@latest install fitness-finder explicitly tracks the latest version, which is unsafe for security-sensitive installation flows. If the package or its distribution channel is compromised, users may execute newly introduced code immediately without review.

Content

No source excerpt is available for this finding.

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
93% confidence
Finding

The documentation instructs users to send their email address to a third-party API to obtain a trial key but provides no privacy notice, consent guidance, or explanation of data handling. This is risky because users may disclose personal data without understanding retention, sharing, or marketing implications.

Content

No source excerpt is available for this finding.

External Transmission

Medium
Category
Data Exfiltration
Confidence
91% confidence
Finding

The documented curl command transmits a user email address to an external service. Even though this appears functional rather than malicious, it is still an external data exfiltration path from the local environment to a third party and should be clearly disclosed.

Content

Scanner excerpt · SKILL.md (reported line 35)May include surrounding context.

Instant Trial (no signup required): Get a temporary API key with 25 calls:

bash
curl -s -X POST -H "Content-Type: application/json" \
  -d '{"email": "you@example.com"}' \
  https://api.getcamino.ai/trial/start

External Transmission

Medium
Category
Data Exfiltration
Confidence
90% confidence
Finding

The example query sends location data and an API key to a third-party endpoint. In a location-intelligence skill this is expected behavior, but coordinates and search intent can still be sensitive, so the transmission should be explicit and bounded because misuse could reveal a user's whereabouts or patterns.

Content

Scanner excerpt · SKILL.md (reported line 77)May include surrounding context.

bash
curl -H "X-API-Key: $CAMINO_API_KEY" \
  "https://api.getcamino.ai/query?query=gyms+yoga+studios+fitness+centers&lat=40.7589&lon=-73.9851&radius=1500&rank=true"

Parameters

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 · SKILL.md (reported line 37)May include surrounding context.

md
curl -s -X GET \
    -H "X-API-Key: $CAMINO_API_KEY" \
    -H "X-Client: claude-code-skill" \
    "https://api.getcamino.ai/query?${QUERY_STRING}" | jq .

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/fitness-finder.sh (reported line 65)May include surrounding context.

sh
curl -s -X GET \
    -H "X-API-Key: $CAMINO_API_KEY" \
    -H "X-Client: claude-code-skill" \
    "https://api.getcamino.ai/query?${QUERY_STRING}" | jq .