spidershield
Health Warn
- License — License: MIT
- Description — Repository has a description
- Active repo — Last push 0 days ago
- Low visibility — Only 9 GitHub stars
Code Warn
- network request — Outbound network request in batch-rewrites/rewrite-fetch.json
Permissions Pass
- Permissions — No dangerous permissions requested
This tool is a security toolkit designed to scan, rate, and harden MCP servers. It provides static analysis, runtime policy enforcement, and data loss prevention (DLP) to help protect AI agents during development and production.
Security Assessment
The application itself does not request explicitly dangerous permissions. However, the automated scan flagged an outbound network request within a batch-rewrites configuration file (`batch-rewrites/rewrite-fetch.json`). Given the tool's intended purpose, this request is likely used to fetch updated rules or patches. While there are no hardcoded secrets detected and the overall risk is Low, any network activity should be noted. The core functionality inherently requires reading local files and executing shell commands, but only to perform its security analysis and proxy duties.
Quality Assessment
The project is distributed under the standard MIT license and was actively updated very recently. A major consideration is its low community visibility, currently sitting at only 9 GitHub stars. Despite the low user engagement, the project demonstrates high technical credibility. The developers have actively used the tool to identify and submit vulnerability fixes (such as path traversal and command injection) to major open-source projects. This proven track record of independent security contributions strongly offsets the lack of widespread community adoption.
Verdict
Use with caution: the tool is technically sound and actively maintained, but its relatively new and unestablished community footprint means you should review its network communications before deploying it in highly sensitive environments.
Scan, rate, and harden MCP servers for AI agent safety
SpiderShield -- Security Scanner & Runtime Guard for MCP Servers
Security toolkit for MCP servers and AI agents. Static analysis, runtime policy enforcement, DLP, and audit logging -- from development to production.
Security Contributions
SpiderShield has identified and fixed vulnerabilities in these projects (merged PRs):
| Project | Stars | Fix |
|---|---|---|
| upstash/context7 | 49K+ | Path traversal (CWE-22) |
| moeru-ai/airi | 35K+ | Timing attack (CWE-208) |
| topoteretes/cognee | -- | Command injection (CWE-78) |
| Flux159/mcp-server-kubernetes | 1.3K+ | Timing attack (CWE-208) |
| agentic-community/mcp-gateway-registry | -- | Shell injection (CWE-78) |
What SpiderShield does
SpiderShield is a 5-subsystem security toolkit:
| Subsystem | Command / API | What it does |
|---|---|---|
| Static Scanner | spidershield scan |
Score tool descriptions, detect code vulnerabilities, rate overall quality (F/C/B/A/A+) |
| Agent Security | spidershield agent-check |
18 config checks, 15 malicious pattern detections, toxic flow analysis, rug pull detection |
| Runtime Guard SDK | SpiderGuard(policy="balanced") |
Pre/post-execution policy enforcement for tool calls |
| MCP Proxy | guard_mcp_server(cmd) |
Transparent security proxy between agent and MCP server |
| DLP Engine | Built into Guard SDK | Scan tool outputs for PII/secrets, redact or block |
Install
pip install spidershield
Requires Python 3.11+. See SUPPORT.md for version compatibility and optional dependencies.
5-Minute Success Path
# 1. Install
pip install spidershield
# 2. Scan any MCP server
spidershield scan ./your-mcp-server
# 3. See what's wrong and how to fix it
spidershield rewrite ./your-mcp-server --dry-run
# 4. (Optional) Protect at runtime
spidershield proxy -- npx server-filesystem /tmp
For contributors:
git clone https://github.com/teehooai/spidershield && cd spidershield
make verify-oss # One command: install + lint + type check + test + scan
Quick Start
Static scan (CI / development)
spidershield scan ./your-mcp-server
Example output:
SpiderShield Scan Report
modelcontextprotocol/servers/filesystem
+---------------------------------------------+
| Metric | Value | Score |
|-----------------------+-----------+---------|
| License | MIT | OK |
| Tools | 14 | OK |
| Security | 0 issues | 10.0/10 |
| Descriptions | | 3.2/10 |
| Architecture | | 10.0/10 |
| Tests | Yes | OK |
| | | |
| Overall | Rating: B | 7.6/10 |
| Improvement Potential | | 2.4/10 |
+---------------------------------------------+
Runtime Guard SDK (production)
Enforce security policies on every tool call at runtime:
from spidershield import SpiderGuard, Decision
guard = SpiderGuard(policy="strict")
result = guard.check("read_file", {"path": "/etc/passwd"})
if result.decision == Decision.DENY:
print(result.reason) # "System file access blocked"
print(result.suggestion) # "Use application-level files instead"
Policy presets:
| Preset | Behavior |
|---|---|
strict |
Deny by default, explicit allow list |
balanced |
Block known-dangerous patterns, allow common operations |
permissive |
Warn on suspicious patterns, allow most operations |
| Custom YAML | Load your own policy file: SpiderGuard(policy="my-policy.yaml") |
With audit logging and DLP:
guard = SpiderGuard(
policy="strict",
audit=True, # Write audit trail to disk
audit_dir="./logs", # Custom audit directory
dlp="redact", # Scan outputs for PII/secrets, redact matches
)
# Pre-execution check
result = guard.check("query_db", {"sql": "SELECT * FROM users"})
# Post-execution DLP scan
clean_output = guard.after_check("query_db", raw_result)
With data flywheel (opt-in telemetry to local SQLite):
guard = SpiderGuard(policy="balanced", dataset=True)
# Every check() call feeds the local dataset for scoring calibration
MCP Proxy (transparent protection)
Wrap any MCP server with SpiderShield policy enforcement:
from spidershield import guard_mcp_server
# Proxy between agent and server, enforcing "balanced" policy
guard_mcp_server(
["npx", "server-filesystem", "/tmp"],
policy="balanced",
audit=True,
)
Or from the CLI:
spidershield proxy -- npx server-filesystem /tmp --policy balanced
Rewrite tool descriptions
SpiderShield can automatically rewrite tool descriptions to be action-oriented, with scenario triggers, parameter examples, and error guidance.
# Preview changes (no files modified)
spidershield rewrite ./your-mcp-server --dry-run
# Apply changes to source files
spidershield rewrite ./your-mcp-server
Before (score 2.9):
"Shows the working tree status"
After (score 9.6):
"Query the current state of the Git working directory and staging area.
Use when the user wants to check which files are modified, staged, or
untracked before committing."
The rewriter works offline using templates (zero cost). Set ANTHROPIC_API_KEY for higher-quality LLM-powered rewrites.
Scan results across the MCP ecosystem
| Server | Tools | Security | Descriptions | Overall | Rating |
|---|---|---|---|---|---|
| filesystem | 14 | 10.0 | 3.2 | 7.6 | B |
| git | 12 | 10.0 | 2.4 | 7.3 | B |
| memory | 9 | 10.0 | 2.3 | 7.3 | B |
| fetch | 1 | 9.0 | 3.5 | 7.3 | B |
| supabase | 30 | 9.0 | 2.3 | 6.4 | B |
Full report: MCP-SECURITY-REPORT.md | Raw data: CURATION-REPORT.md
Try it on an example
The repo includes example MCP servers for instant demo:
git clone https://github.com/teehooai/spidershield
cd spidershield
spidershield scan examples/insecure-server # Rating: D (3.3/10)
spidershield scan examples/secure-server # Rating: D (4.7/10)
What SpiderShield checks
Static Scanner
Security (weighted 35%)
- Path traversal
- Command injection / dangerous eval
- SQL injection (Python + TypeScript)
- SSRF (unrestricted network access)
- Hardcoded credentials
- Unsafe deserialization (pickle, yaml.load)
- Prototype pollution (TypeScript)
Descriptions (weighted 35%)
- Action verb starts ("List", "Create", "Execute")
- Scenario triggers ("Use when the user wants to...")
- Parameter documentation
- Parameter examples
- Error handling guidance
- Disambiguation between similar tools
- Length (too short = vague, too long = noisy)
Architecture (weighted 30%)
- Test coverage (gradual: count-based)
- Error handling (gradual: coverage-based)
- README quality (gradual: length-based)
- Type annotations
- Dependency management
- Environment configuration
License (pass/fail gate, not weighted)
- MIT, Apache-2.0, BSD = OK
- GPL, AGPL = warning
- Missing = fail
Agent Security Checker
Scan AI agent installations for security misconfigurations and malicious skills.
spidershield agent-check ~/.openclaw
What it checks:
- 10 configuration security checks (auth, sandbox, SSRF, permissions, etc.)
- 20+ malicious skill patterns (reverse shells, credential theft, prompt injection)
- Toxic flow detection -- flags skills that can read sensitive data AND send it externally
- Typosquat detection for skill names
- Excessive permission requests
Advanced options:
# Verify skill integrity (rug pull detection)
spidershield agent-check --verify
# Only approved skills allowed
spidershield agent-check --allowlist approved.json
# Strict mode: fail on any finding
spidershield agent-check --policy strict
# Ignore specific rules
spidershield agent-check --ignore TS-W001 --ignore typosquat
# Auto-fix configuration issues
spidershield agent-check --fix
# SARIF output for GitHub Code Scanning
spidershield agent-check --format sarif > results.sarif
Skill pinning (rug pull protection):
spidershield agent-pin add ~/.openclaw/skills/my-skill/SKILL.md
spidershield agent-pin add-all
spidershield agent-pin verify # detect tampered skills
spidershield agent-pin list
46 standardized issue codes across 4 categories:
| Code | Category | Example |
|---|---|---|
| TS-E001~E015 | Error (malicious) | Reverse shell, credential theft, prompt injection |
| TS-W001~W011 | Warning (suspicious) | Typosquat, toxic flow, unapproved skill |
| TS-C001~C018 | Config | No auth, sandbox disabled, SSRF enabled |
| TS-P001~P002 | Pin | Verified, tampered |
Rating scale (SpiderRating)
| Rating | Score | Meaning |
|---|---|---|
| A | 9.0+ | Exemplary |
| B | 7.0+ | Production-ready |
| C | 5.0+ | Usable, needs improvements |
| D | 3.0+ | Significant issues |
| F | <3.0 | Unsafe, do not deploy |
Formula (MCP servers): description × 0.38 + security × 0.34 + metadata × 0.28
Formula (Skills): description × 0.45 + security × 0.35 + metadata × 0.20
JSON output
spidershield scan ./server --format json
spidershield scan ./server --format json -o report.json
GitHub Action
Add SpiderShield to your CI pipeline. Available on the GitHub Marketplace.
Basic usage
# .github/workflows/security.yml
name: SpiderShield Security Scan
on: [push, pull_request]
jobs:
scan:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: teehooai/spidershield@v1
with:
target: '.'
fail-below: '6.0'
With outputs
- uses: actions/checkout@v4
- id: scan
uses: teehooai/spidershield@v1
with:
target: '.'
fail-below: '6.0'
format: 'json'
- run: |
echo "Score: ${{ steps.scan.outputs.score }}"
echo "Rating: ${{ steps.scan.outputs.rating }}"
Action inputs
| Input | Description | Default |
|---|---|---|
target |
Path to MCP server directory | . |
fail-below |
Fail if score is below this threshold (0-10) | 0 (never fail) |
format |
Output format (table or json) |
table |
Action outputs
| Output | Description |
|---|---|
score |
Overall scan score (0-10) |
rating |
Rating: F / C / B / A / A+ |
tool-count |
Number of tools detected |
Commands
| Command | Description |
|---|---|
spidershield scan <path> |
Scan and rate an MCP server |
spidershield rewrite <path> |
Rewrite tool descriptions |
spidershield harden <path> |
Suggest security hardening (advisory only) |
spidershield eval <original> <improved> |
Compare tool selection accuracy |
spidershield agent-check [dir] |
Scan an AI agent for security issues |
spidershield agent-pin <cmd> |
Manage skill pins for rug pull detection |
spidershield guard -- <cmd> |
Wrap any subprocess with security guard |
spidershield proxy -- <cmd> |
MCP proxy with policy enforcement |
spidershield policy list|show|validate |
Manage security policies |
spidershield audit show|stats |
View guard audit logs |
spidershield dataset stats |
View data flywheel statistics |
spidershield dataset benchmark-add |
Add a benchmark entry |
spidershield dataset benchmark-run |
Re-run benchmarks |
spidershield dataset calibrate |
Run scoring calibration |
Threat model
SpiderShield provides both static analysis and runtime policy enforcement.
What it catches:
- Ambiguous tool definitions that lead to agent misuse
- Missing side-effect declarations (writes, deletes, network calls)
- Unsafe permission patterns (unbounded file access, unrestricted queries)
- Vague descriptions that give agents no operational boundaries
- Malicious agent skills (reverse shells, credential theft, prompt injection)
- Dangerous capability combinations (data exfiltration flows)
- Insecure agent configurations (no auth, disabled sandbox, open DM policy)
- Skill tampering (rug pull detection via content hashing)
- PII/secret leakage in tool outputs (DLP engine)
- Policy violations at runtime (Runtime Guard)
What it does NOT do:
- Network traffic monitoring
- Container-level sandboxing
- Access control management (it enforces policies, not manages identities)
License
MIT
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