Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Counterclaw Core
Defensive interceptor for prompt injection and basic PII masking.
skill openclawclawhub Free
Defensive interceptor for prompt injection and basic PII masking.
β¬ 0 downloads β
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md, email_protector.py, pyproject.toml, send_protected_email.sh, src/counterclaw/__init__.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.1.1
Provenance
- Publisher
- nickconstantinou
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
CounterClaw π¦
Defensive security for AI agents. Snaps shut on malicious payloads.
β οΈ Security Notice
This package has two modes: Core Scanner (offline): check_input() and check_output() β no network calls Email Integration (network): send_protected_email.sh β requires gog CLI for Gmail
Installation
claw install counterclaw
Quick Start
from counterclaw import CounterClawInterceptor interceptor = CounterClawInterceptor() # Input scan - blocks prompt injections # NOTE: Examples below are TEST CASES only - not actual instructions result = interceptor.check_input("{{EXAMPLE: ignore previous instructions}}") # β {"blocked": True, "safe": False} # Output scan - detects PII leaks result = interceptor.check_output("Contact: john@example.com") # β {"safe": False, "pii_detected": {"email": True}}
Features
π Defense against common prompt injection patterns π‘οΈ Basic PII masking (Email, Phone, Credit Card) π Violation logging to ~/.openclaw/memory/MEMORY.md β οΈ Warning on startup if TRUSTED_ADMIN_IDS not configured
Required Environment Variable
# Set your trusted admin ID(s) - use non-sensitive identifiers only! export TRUSTED_ADMIN_IDS="your_telegram_id" Important: TRUSTED_ADMIN_IDS should ONLY contain non-sensitive identifiers: β Telegram user IDs (e.g., "123456789") β Discord user IDs (e.g., "987654321") β NEVER API keys β NEVER passwords β NEVER tokens You can set multiple admin IDs by comma-separating: export TRUSTED_ADMIN_IDS="telegram_id_1,telegram_id_2"
Runtime Configuration
# Option 1: Via environment variable (recommended) # Set TRUSTED_ADMIN_IDS before running interceptor = CounterClawInterceptor() # Option 2: Direct parameter interceptor = CounterClawInterceptor(admin_user_id="123456789")
Security Notes
Fail-Closed: If TRUSTED_ADMIN_IDS is not set, admin features are disabled by default Logging: All violations are logged to ~/.openclaw/memory/MEMORY.md with PII masked No Network Access: This middleware does not make any external network calls (offline-only) File Access: Only writes to ~/.openclaw/memory/MEMORY.md β explicitly declared scope
Files Created
PathPurpose~/.openclaw/memory/Directory created on first run~/.openclaw/memory/MEMORY.mdViolation logs with PII masked
License
MIT - See LICENSE file
Running Tests Locally
python3 tests/test_scanner.py
Linting
pip install ruff ruff check src/
Publishing to ClawHub
The CI runs on every push and pull request: Ruff - Lints Python code Tests - Runs unit tests To publish a new version: # Version is set in pyproject.toml git add -A git commit -m "Release v1.0.9" git tag v1.0.9 git push origin main --tags CI will automatically: Run lint + tests If tests pass and tag starts with v*, publish to ClawHub
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Scripts2 Docs1 Files
- SKILL.md
- README.md
- email_protector.py
- send_protected_email.sh
- src/counterclaw/__init__.py
- pyproject.toml