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Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/dvcrn/openclaw-skills-marketplace --skill identity-resolver명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
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SKILL.md 표시 중
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The philosophical layer for AI agents. Maps behavior to Spinoza's 48 affects, calculates persistence scores, and generates geometric self-reports. Give your agent a soul.
Order food/drinks (点餐) on an Android device paired as an OpenClaw node. Uses in-app menu and cart; add goods, view cart, submit order (demo, no real payment).
| name | identity-resolver |
| description | Identity Resolver |
Canonical user identity resolution across messaging channels
Resolves multi-channel user identities (Telegram, WhatsApp, Discord, web, etc.) to canonical user IDs, preventing state fragmentation when users interact via multiple channels.
Problem it solves: Without identity resolution, a user messaging via Telegram and WhatsApp appears as two different users, causing fragmented memory, access control, and per-user state across skills.
Solution: Maps all channel identities to one canonical user ID automatically.
Prerequisites: Install uv if not already installed:
curl -LsSf https://astral.sh/uv/install.sh | sh
Install the skill:
cd /path/to/openclaw/workspace
# Via ClawHub (recommended)
clawhub install identity-resolver
# Or via Git
git clone https://github.com/clawinfra/identity-resolver skills/identity-resolver
# Initialize identity map (auto-detects owner from USER.md)
cd /path/to/workspace
uv run python skills/identity-resolver/scripts/identity_cli.py init
# Verify your identity
uv run python skills/identity-resolver/scripts/identity_cli.py resolve \
--channel telegram --user-id YOUR_TELEGRAM_ID
# Output: your-canonical-id
# List all registered identities
uv run python skills/identity-resolver/scripts/identity_cli.py list
Add to your skill's Python code:
import sys
from pathlib import Path
# Import identity resolver
sys.path.insert(0, str(Path.cwd() / "skills" / "identity-resolver" / "scripts"))
from identity import resolve_canonical_id
# Get canonical user ID from session context
import os
channel = os.getenv("OPENCLAW_CHANNEL") # e.g., "telegram"
user_id = os.getenv("OPENCLAW_USER_ID") # e.g., "123456789"
canonical_id = resolve_canonical_id(channel, user_id)
# Use canonical_id for all user-specific operations
# Example: User-specific memory file
memory_file = f"data/users/{canonical_id}/memory.json"
✅ Auto-registers owner from workspace USER.md
✅ Thread-safe identity map storage with fcntl locking
✅ CLI + Python API for both users and developers
✅ Path traversal protection — sanitizes all canonical IDs
✅ Zero dependencies — pure Python stdlib
✅ Multi-channel support — Telegram, WhatsApp, Discord, web, and future channels
# tiered-memory skill integration
canonical_id = resolve_canonical_id(channel, user_id)
memory_tree = f"memory/users/{canonical_id}/tree.json"
# agent-access-control skill integration
canonical_id = resolve_canonical_id(channel, user_id)
if is_owner(canonical_id):
# Full access
else:
# Limited access
# Same user across Discord + Telegram
discord_id = resolve_canonical_id("discord", "user#1234")
telegram_id = resolve_canonical_id("telegram", "987654321")
# Both resolve to same canonical ID if registered
resolve_canonical_id(channel, provider_user_id, workspace=None, owner_numbers=None) -> str
Resolve channel identity to canonical user ID.
add_channel(canonical_id, channel, provider_user_id, workspace=None, display_name=None)
Add channel mapping to a canonical user (creates user if doesn't exist).
remove_channel(canonical_id, channel, provider_user_id, workspace=None)
Remove channel mapping from canonical user.
list_identities(workspace=None) -> dict
Return all identity mappings.
get_channels(canonical_id, workspace=None) -> list
Get all channels for a canonical user.
is_owner(canonical_id, workspace=None) -> bool
Check if canonical ID is the owner.
# Initialize
identity init [--force]
# Resolve (auto-detect from env or explicit params)
identity resolve [--channel CH] [--user-id ID]
# Add mapping
identity add --canonical ID --channel CH --user-id ID [--display-name NAME]
# Remove mapping
identity remove --canonical ID --channel CH --user-id ID
# List all
identity list [--json]
# Get channels
identity channels --canonical ID [--json]
# Check owner
identity is-owner --canonical ID [--json]
Location: data/identity-map.json or memory/identity-map.json
{
"version": "1.0",
"identities": {
{
"version": "1.0",
"identities": {
"alice": {
"canonical_id": "alice",
"is_owner": true,
"display_name": "Alice Johnson",
"channels": [
"telegram:123456789",
"whatsapp:+1234567890",
"whatsapp:+9876543210",
"whatsapp:+5555555555"
],
"created_at": "2026-01-15T10:00:00Z",
"updated_at": "2026-01-15T10:05:00Z"
},
"bob": {
[a-z0-9-_] onlySee docs/TIERED_MEMORY_INTEGRATION_EXAMPLE.md for complete working example.
MIT - See LICENSE file
OpenClaw Agent agent@openclaw.local