macOS MDM with auth manifolds as cobordisms for credential derivation
Status: ✅ Production Ready Trit: 0 (ERGODIC - transport/derivation) Color: #26D826 (Green) Principle: Auth is cobordism W: ∂₀ → ∂₁, not event sequence Frame: No demos, only derivation
MDM Cobordism models authentication and device management as cobordisms — manifolds with boundaries representing auth state transitions. Following the unworld philosophy:
Forms valid triads with MINUS (-1) and PLUS (+1) skills:
sheaf-cohomology (-1) ⊗ mdm-cobordism (0) ⊗ gay-mcp (+1) = 0 ✓ [Credential Derivation]
temporal-coalgebra (-1) ⊗ mdm-cobordism (0) ⊗ oapply-colimit (+1) = 0 ✓ [State Observation]
three-match (-1) ⊗ mdm-cobordism (0) ⊗ koopman-generator (+1) = 0 ✓ [Pattern Learning]
| Cobordism | Source → Target | Trit | Role | |-----------|-----------------|------|------| | W₁ generate_key | Unauth → HasKey | +1 | Generator | | W₂ request_scep | HasKey → HasCert | 0 | Coordinator | | W₃ validate_cert | HasCert → HasToken | -1 | Validator | | W₄ check_in_mdm | HasToken → Enrolled | +1 | Generator | | W₅ verify_enroll | Enrolled → Enrolled | -1 | Validator |
GF(3) Conservation: +1 + 0 + (-1) + (+1) + (-1) = 0 ✓
# Auth manifold boundaries
Unauthenticated # ∂₀: No identity
HasKey # Device has private key
HasCertificate # Device has CA-signed cert
HasToken # Device has session token
Enrolled # Device enrolled in MDM
Supervised # Device under full management
macOS Keychain operations with GF(3) tracking:
# Store (+1) → Retrieve (0) → Validate (-1) = 0 ✓
Keychain.store_then_verify(service, account, secret)
| Operation | Trit | Description |
|-----------|------|-------------|
| store | +1 | Create credential |
| retrieve | 0 | Transport credential |
| delete | -1 | Remove credential |
# Run MDM cobordism demo
python src/mdm_mcp_server.py
# Keychain operations (macOS)
security add-generic-password -s "mdm-token" -a "$USER" -w
security find-generic-password -s "mdm-token" -a "$USER" -w
security delete-generic-password -s "mdm-token" -a "$USER"
# Verify GF(3) for auth flow
just mdm-gf3-check
from mdm_mcp_server import (
W1_GENERATE_KEY, W2_REQUEST_CERT, W3_VALIDATE_CERT,
W4_CHECK_IN, W5_VERIFY, Unauthenticated, verify_gf3
)
# Execute enrollment chain
state = Unauthenticated(device_serial="C02XG1PDJHD4")
state = W1_GENERATE_KEY(state)
state = W2_REQUEST_CERT(state)
state = W3_VALIDATE_CERT(state)
state = W4_CHECK_IN(state)
state = W5_VERIFY(state)
# Verify GF(3)
trits = [W1.trit, W2.trit, W3.trit, W4.trit, W5.trit]
assert verify_gf3(trits) # True
<dict>
<key>PayloadType</key>
<string>com.apple.security.scep</string>
<key>URL</key>
<string>https://scep.example.com/scep</string>
<key>KeySize</key>
<integer>2048</integer>
</dict>
Device activates → DEP lookup → MDM URL → Enroll → Supervised
Supervision is an irreversible cobordism in normal flow.
There are no demonstrations. MDM enrollment is not a "process that runs" but a derivation chain that is.
Demo: "Watch me enroll this device" → temporal, performative
Derivation: "Enrollment derives from serial" → atemporal, structural
Credentials don't "exist" with properties. They derive from chain positions:
# Ontological (what IS this key?)
key.is_valid? # property of thing
# Untological (what DERIVES this key?)
key = derive(device_serial, enrollment_time)
key.chain_position # position in derivation
Auth flows compose like cobordisms:
W = W₅ ∘ W₄ ∘ W₃ ∘ W₂ ∘ W₁ : Unauthenticated → Enrolled
The composite W is itself a cobordism with GF(3) = 0.
mdm_enroll_device // Initiate enrollment (trit: +1)
keychain_store // Store credential (trit: +1)
keychain_retrieve // Retrieve credential (trit: 0)
keychain_delete // Delete credential (trit: -1)
auth_cobordism_check // Verify GF(3) (trit: -1)
src/mdm_mcp_server.py — Cobordism state machinearchitecture/MDM_AUTH_COBORDISM.md — Architecture docsSkill Name: mdm-cobordism Type: Device Management / Auth State Machine Trit: 0 (ERGODIC) Color: #26D826 (Green) GF(3): Conserved by construction Demos: None (νο δῆμος) Ontology: Replaced with untology
Search for places (restaurants, cafes, etc.) via Google Places API proxy on localhost.
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Start voice calls via the OpenClaw voice-call plugin.
Notion API for creating and managing pages, databases, and blocks.
Gemini CLI for one-shot Q&A, summaries, and generation.
Category:developer