shift-camouflage
About
This skill implements adaptive interfaces that dynamically present different APIs or behaviors to different consumers based on context. It's used for polymorphic APIs, attack surface reduction, feature flag rollouts, and exposing only what each observer needs. The approach involves environmental assessment, dynamic interface generation, and behavioral polymorphism without core system changes.
Quick Install
Claude Code
Recommendednpx skills add pjt222/agent-almanac -a claude-code/plugin add https://github.com/pjt222/agent-almanacgit clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/shift-camouflageCopy and paste this command in Claude Code to install this skill
Documentation
Tarnung wechseln
Implementieren adaptive surface transformation — polymorphic interfaces, context-aware behavior, and dynamic presentation — inspired by cuttlefish chromatophores. The system's surface adapts to its environment while its core remains stable, reducing attack surface and optimizing interaction with diverse observers.
Wann verwenden
- A system must present different interfaces to different consumers (API versioning, multi-tenant, role-based)
- Reducing attack surface by exposing only what each observer needs to see
- Implementing Feature-Flags, progressive rollouts, or A/B testing at die Schnittstelle level
- A system needs to adapt its behavior to environmental context ohne core changes
- Protecting internal architecture from external coupling (observers couple to the surface, not the structure)
- Complementing
adapt-architecturewhen surface change is sufficient and deep transformation is unnecessary
Eingaben
- Erforderlich: The system whose surface needs adaptation
- Erforderlich: The observers/consumers and their different interface needs
- Optional: Current interface design and its limitations
- Optional: Threat model (what sollte hidden from which observers?)
- Optional: Feature flag system or progressive rollout infrastructure
- Optional: Performance constraints (dynamic surface generation has overhead)
Vorgehensweise
Schritt 1: Abbilden the Observer Landscape
Identifizieren who interacts with das System and what each observer needs to see.
- Catalog all observers:
- External users (end users, API consumers, partners)
- Internal services (microservices, background jobs, admin tools)
- Adversaries (attackers, scrapers, competitors)
- Regulators (auditors, compliance checks)
- Fuer jede observer, define:
- What they need to see (required interface surface)
- What they should not see (hidden surface)
- What they expect to see (compatibility surface — may differ from what they need)
- How they interact (protocol, frequency, sensitivity)
- Erstellen the observer-surface matrix:
Observer-Surface Matrix:
┌──────────────┬────────────────────────┬─────────────────┬──────────────┐
│ Observer │ Required Surface │ Hidden Surface │ Threat Level │
├──────────────┼────────────────────────┼─────────────────┼──────────────┤
│ End users │ Public API v2, UI │ Internal APIs, │ Low │
│ │ │ admin endpoints │ │
├──────────────┼────────────────────────┼─────────────────┼──────────────┤
│ Partner API │ Partner API, webhooks │ Internal logic, │ Medium │
│ │ │ user data │ │
├──────────────┼────────────────────────┼─────────────────┼──────────────┤
│ Admin tools │ Full API, debug │ Raw data store │ Low │
│ │ endpoints │ access │ │
├──────────────┼────────────────────────┼─────────────────┼──────────────┤
│ Adversaries │ Nothing (minimal) │ Everything │ High │
│ │ │ possible │ │
└──────────────┴────────────────────────┴─────────────────┴──────────────┘
Erwartet: A complete observer landscape with surface requirements per observer. This drives all subsequent camouflage design.
Bei Fehler: If observer identification is incomplete, start with the two extremes: the most privileged observer (admin) and the most restricted (adversary). Entwerfen surfaces for these two, then interpolate for observers zwischen them.
Schritt 2: Entwerfen Chromatophore Mapping
Erstellen the mapping zwischen observer context and surface presentation — the "chromatophore" layer.
- Definieren context signals:
- Authentication identity → determines privilege level
- Request origin → geographic, network, or application context
- Feature flags → enables/disables specific surface elements
- Time/phase → deployment stage, business hours, maintenance windows
- Load/health → degraded mode may present reduced surface
- Entwerfen the surface generation rules:
- Fuer jede combination of context signals, define which surface elements are:
- Visible: included in die Antwort/interface
- Hidden: excluded entirely (not even Fehlermeldungs reveal their existence)
- Transformed: present but modified for this observer (different schema, simplified data)
- Decoy: deliberately misleading surface elements for adversarial contexts
- Fuer jede combination of context signals, define which surface elements are:
- Implementieren the chromatophore layer:
- A thin middleware/proxy that sits zwischen the core system and observers
- Evaluates context signals on each request
- Applies the appropriate surface configuration
- Never modifies core behavior — only filters and transforms the surface
Chromatophore Architecture:
┌──────────────────────────────────────────────────────┐
│ Observer Request │
│ │ │
│ ↓ │
│ ┌─────────────────┐ │
│ │ Context Extract │ ← Auth, origin, flags, time │
│ └────────┬────────┘ │
│ ↓ │
│ ┌─────────────────┐ │
│ │ Surface Select │ ← Observer-surface matrix lookup │
│ └────────┬────────┘ │
│ ↓ │
│ ┌─────────────────┐ │
│ │ Core System │ ← Processes request normally │
│ └────────┬────────┘ │
│ ↓ │
│ ┌─────────────────┐ │
│ │ Surface Filter │ ← Remove/transform/add elements │
│ └────────┬────────┘ │
│ ↓ │
│ Observer Response (adapted surface) │
└──────────────────────────────────────────────────────┘
Erwartet: A chromatophore mapping that translates observer context into surface configuration. The mapping is explicit, auditable, and separate from core logic.
Bei Fehler: If the mapping becomes too complex (too many context combinations), simplify to role-based surfaces: define 3-5 surface profiles (public, partner, admin, internal, minimal) and map every observer to one profile.
Schritt 3: Implementieren Behavioral Polymorphism
Make das System's behavior adapt to context, not just its surface appearance.
- Identifizieren context-dependent behaviors:
- Response detail level (verbose for admin, minimal for public)
- Rate limiting (generous for partners, strict for unknown callers)
- Error messages (detailed for internal, generic for external)
- Data freshness (real-time for premium, cached for standard)
- Feature availability (full for beta testers, stable-only for general)
- Implementieren behavioral variants:
- Each variant is a complete, tested behavior path
- Context determines which variant executes
- Variants share core logic but differ in presentation and policy
- Feature flag integration:
- Feature flags control which behavioral variants are active
- Progressive rollout: expose new behavior to a percentage of observers, increasing over time
- Circuit breakers: automatisch revert to safe behavior if the new variant causes errors
Erwartet: The system's behavior adapts to observer context — the same core logic produces appropriate responses for different audiences. Feature flags enable progressive rollout of new behaviors.
Bei Fehler: If behavioral polymorphism creates too many code paths, consolidate to a pipeline model: core logic → policy layer → presentation layer. Polymorphism lives in the policy and presentation layers only, keeping core logic singular.
Schritt 4: Reduzieren Attack Surface
Minimieren what adversaries can observe and interact with.
- Anwenden the principle of least surface:
- Each observer sees only what they need — nothing more
- Unauthenticated observers see the minimum possible surface
- Error messages never leak internal structure (no stack traces, no internal paths, no Versionsnummers)
- Implementieren active surface reduction:
- Entfernen default pages, headers, and endpoints that reveal technology stack
- Randomize non-essential response characteristics (timing jitter, header order)
- Deaktivieren unused API endpoints entirely (not just hidden — actually off)
- Bereitstellen pattern disruption:
- Vary response characteristics to defeat fingerprinting
- Introduce controlled unpredictability in non-functional aspects
- Sicherstellen, dass functional behavior remains deterministic while surface characteristics vary
- Ueberwachen for reconnaissance:
- Detect patterns of requests that probe for hidden surface (enumeration attacks)
- Alarmieren on repeated access to non-existent endpoints (path fuzzing)
- Verfolgen and correlate reconnaissance patterns across sessions (see
defend-colony)
Erwartet: A minimal attack surface where adversaries cannot easily determine das System's technology stack, internal structure, or hidden capabilities. Reconnaissance attempts are detected and tracked.
Bei Fehler: If surface reduction breaks legitimate consumers, the observer-surface matrix is incomplete — legitimate needs are being hidden. Ueberpruefen Step 1 and update the matrix. If randomization causes issues, reduce randomization to non-functional aspects only (timing, headers) and keep functional responses deterministic.
Schritt 5: Warten Surface Coherence
Sicherstellen, dass the dynamic surface remains consistent, debuggable, and maintainable.
- Surface testing:
- Testen each observer profile explicitly (does admin see admin surface? does public see public surface?)
- Testen surface transitions (what happens when an observer's context changes mid-session?)
- Testen surface failure modes (what surface appears if the chromatophore layer fails?)
- Surface documentation:
- Dokumentieren each observer profile and its surface configuration
- Dokumentieren the context signals and their effects on surface selection
- Keep documentation in sync with actual behavior (test documentation gegen reality)
- Debugging support:
- Admin/debug mode reveals which surface profile is active and why
- Logging captures which surface configuration was applied to each request
- Ability to replay a request durch a specific surface profile for debugging
- Surface evolution:
- Adding new surface elements: add to the appropriate profiles, test, deploy
- Removing surface elements: deprecation warning period, then removal
- Changing surface behavior: Feature-Flag controlled, progressive rollout
Erwartet: A maintainable, testable, well-documented surface adaptation system. The dynamic nature doesn't compromise the ability to debug, document, or evolve die Schnittstelles.
Bei Fehler: If the chromatophore layer becomes a debugging nightmare, add transparency: every response includes a trace header (visible only to admin/debug profile) indicating which surface profile was applied and which context signals determined it.
Validierung
- Observer landscape is mapped with surface requirements per observer
- Chromatophore mapping translates context to surface configuration
- Behavioral polymorphism adapts responses to observer context
- Attack surface is minimized for adversarial observers
- Each observer profile is explicitly tested
- Surface failure mode presents a safe default (minimal surface)
- Debug/admin mode can inspect active surface configuration
- Surface documentation matches actual behavior
Haeufige Stolperfallen
- Surface complexity explosion: Too many observer profiles with too many variations. Consolidate to 3-5 profiles maximum. Most observers fit into broad categories
- Core contamination: Letting surface adaptation logic leak into core business logic. The chromatophore layer muss separate — if you're adding if-statements about observer type in core code, the architecture is wrong
- Security durch obscurity alone: Surface reduction is a defense-in-depth layer, not a replacement for proper security controls. A hidden endpoint still needs Authentifizierung and Autorisierung
- Inconsistent surfaces: Observer A sees version 1 of a response and observer B sees version 2 — but they're supposed to see the same thing. Testen surfaces explicitly and keep the observer-surface matrix authoritative
- Forgetting the failure surface: When the chromatophore layer itself fails, what surface does the observer see? The default muss safe (minimal surface) not open (full surface)
Verwandte Skills
assess-form— surface adaptation may resolve pressure identified in form assessment ohne requiring deep transformationadapt-architecture— deep structural change for when surface adaptation is insufficientrepair-damage— surface adaptation can mask damage waehrend repair (with caution — don't hide real problems)defend-colony— attack surface reduction is a defense layer; reconnaissance detection feeds into defensecoordinate-swarm— context-aware behavior in distributed systems requires coordinated surface adaptationconfigure-api-gateway— API gateways implement many chromatophore layer functions in der Praxisdeploy-to-kubernetes— Kubernetes services and ingress enable network-level surface control
GitHub Repository
Related Skills
content-collections
MetaThis skill provides a production-tested setup for Content Collections, a TypeScript-first tool that transforms Markdown/MDX files into type-safe data collections with Zod validation. Use it when building blogs, documentation sites, or content-heavy Vite + React applications to ensure type safety and automatic content validation. It covers everything from Vite plugin configuration and MDX compilation to deployment optimization and schema validation.
polymarket
MetaThis skill enables developers to build applications with the Polymarket prediction markets platform, including API integration for trading and market data. It also provides real-time data streaming via WebSocket to monitor live trades and market activity. Use it for implementing trading strategies or creating tools that process live market updates.
creating-opencode-plugins
MetaThis skill helps developers create OpenCode plugins that hook into 25+ event types like commands, files, and LSP operations. It provides the plugin structure, event API specifications, and implementation patterns for JavaScript/TypeScript modules. Use it when you need to intercept, monitor, or extend the OpenCode AI assistant's lifecycle with custom event-driven logic.
sglang
MetaSGLang is a high-performance LLM serving framework that specializes in fast, structured generation for JSON, regex, and agentic workflows using its RadixAttention prefix caching. It delivers significantly faster inference, especially for tasks with repeated prefixes, making it ideal for complex, structured outputs and multi-turn conversations. Choose SGLang over alternatives like vLLM when you need constrained decoding or are building applications with extensive prefix sharing.
