Instructions & Skills
Define the operating method and the public command surface across hosts.
FOUNDER OPERATING PROTOCOL FOR AI AGENTS
Hypertaks is one cross-host plugin product built from five canonical skills, thin native adapters, retrieval intelligence, evidence discipline, and host-provided execution tools.
01
SYSTEM DEFINITION
Hypertaks establishes a single source of truth across all AI development platforms through thin host adapters, evidence ledgers, and deterministic intake framing.
Define the operating method and the public command surface across hosts.
Expose the core through host-native plugin, extension, skill, or instruction mechanism.
Filesystem, GitHub, browser, shell, database, connectors, and MCP tools perform real actions.
Tests, citations, ledgers, checkpoints, and reconciliation prove what happened.
02
INSTRUKSIONS / PUBLIC INTERFACE
Public commands expose Hypertaks capabilities to users and agents across all registered hosts without duplicating logic.
| # | Command | Name | Scope & Operating Purpose |
|---|---|---|---|
| 01 | /hypertaks |
Founder Operating System | Task framing, contract integrity, tier selection, agent coordination, capability binding, integration, and final ownership. |
| 02 | /hypertaks-verify |
Verification Kernel | Checks canonical files, installation state, storage, memory, Graphify, Obsidian, and required environment assumptions. |
| 03 | /hypertaks-brain |
Founder Memory | Inspects and maintains evidence-backed context without fabricating missing state. |
| 04 | /hypertaks-graph |
Relationship Graph | Queries dependencies, connected decisions, relationships, and change impact. |
| 05 | /hypertaks-continuity |
Continuity Ledger | Checkpoint, resume, handoff, reconcile, and prove what remains incomplete. |
The skills instruct the host agent. They do not manufacture capabilities that the current host has not exposed.
03
PLUGIN / ADAPTER LAYER
Host adapters translate native plugin manifest structures, extension APIs, and prompt schemas directly into Hypertaks core skills.
| Adapter Type | Target Hosts | Integration Method & Purpose |
|---|---|---|
| NATIVE PLUGIN | Claude Code, Codex, Cursor, Kimi, OpenCode | Marketplace or plugin-manager metadata, commands, rules, and skill discovery. |
| HOST EXTENSION | Pi, GitHub Copilot, Open WebUI, LibreChat | Host APIs or extension surfaces register the canonical Hypertaks package. |
| MANAGED SKILL | Antigravity, Cline, Windsurf, Kilo, Goose, OpenHands | Generated or managed packages expose the same five skills without duplicating the product core. |
| PROJECT INSTRUCTIONS | Aider, Claude.ai, Gemini App | Hosts without a full native plugin route consume the canonical instruction bundle. |
| CHATGPT APP ADAPTER | ChatGPT App | HTTPS MCP transport connects to a hosted MCP endpoint. |
| PACKAGE POLICY | All generated packages | Canonical skills + runtime policies + thin adapters. Generated packages must not drift from skill core. |
04
MCP / TOOLS / CAPABILITIES
Distinguishing distribution packages, remote communication protocols, and underlying executable capabilities ensures exact host capability binding.
| Term | Role | Description |
|---|---|---|
| PLUGIN | Distribution | Skills, commands, rules, manifests, metadata, adapters, and lifecycle instructions. |
| MCP | Protocol | Connects the host to external tools or data. Required for ChatGPT transport; optional elsewhere. |
| TOOL | Execution | Read, create, update, delete, execute, communicate, browse, query, deploy, or validate. |
| CONNECTOR | Boundary | GitHub, email, calendar, storage, database, browser, and authenticated systems. |
05
TOOLS & EXECUTABLE ACTIONS
Hypertaks orchestrates real tools provided by the host environment, enforcing safety boundaries, single-commit rules, and empirical verification.
| Operation | Capability Domain | Execution Purpose & Safety Boundary |
|---|---|---|
READ |
Filesystem / Repository / Web | Collect evidence and inspect state. Read operations require no interactive prompt. |
CREATE & UPDATE |
Files / Code / Configuration | Mutating operations remain permission-bound and limited to explicit task paths. |
EXECUTE |
Shell / Tests / Python / TypeScript | Run reproducible calculations, builds, validators, and runtime checks. |
COMMUNICATE |
Email / Issues / Deployment | External effects require preview, approval, single commit, and reconciliation. |
06
PROSES & SERVER AI DISPATCHER
Execute Hypertaks skills, test host adapters, dispatch Python scripts, and inspect live AI stage execution logs directly on this website.
[00:00:00] Initialized Hypertaks Execution Workbench v4.5.0
[00:00:00] Select skill, host adapter, and tool above to simulate live execution pipeline.
[00:00:00] Ready for dispatch...
07
GAMBAR / VISUAL DELIVERY
Visual outputs, diffs, diagrams, and screenshots are verified through empirical evidence rather than speculative descriptions.
Resolve objective, feasibility, permissions, evidence needs, and definition of done before writing code.
Bind only verified skills, tools, MCP capabilities, connectors, and permissions.
PREPARE → PREVIEW → APPROVAL → COMMIT ONCE → RECONCILE
Screenshots, diffs, and rendered outputs must be empirically verifiable, not described.
The ChatGPT MCP adapter currently exposes read-only routing and verification capabilities. It does not replace filesystem, browser, database, or deployment tools.
08
PROCESS / WORKFLOW
Tasks progress through six structured phases, matching agent team size and allocation depth to measured risk and scope.
Resolve objective, feasibility, permissions, evidence needs, and definition of done.
Separate the desired outcome from the proposed method and detect contradictions early.
Choose Nano, Lite, Standard, Prime, or Hyper from real scope and risk.
Select only verified, relevant skills, tools, MCP capabilities, connectors, and permissions.
Run distinct specialist roles or synthesize them honestly when parallel agents are unavailable.
Reconcile outputs, test claims, disclose limitations, and record evidence.
| Tier Name | Max Concurrent Subagents | Target Task Scope & Complexity |
|---|---|---|
| NANO | 0 Agents | Direct response, trivial single-file edit or query |
| LITE | 1 Agent | Focused task, single component bug fix or refactor |
| STANDARD | 3 Agents | Moderate scope, feature addition with test coverage |
| PRIME | 5 Agents | Cross-domain architecture work, multi-package refactor |
| HYPER | 6–10+ Agents | Multi-workstream program, major codebase transformation |
09
KNOWLEDGE BASE / METHODS
Hybrid retrieval algorithms combine exact code symbols, semantic vectors, Graphify relationship graphs, and Obsidian notes into packed evidence prompts.
| Retrieval Route | Methodology | Use Case & Targeted Assets |
|---|---|---|
| EXACT / KEYWORD | Identifiers and literal vocabulary | Codes, filenames, proper names, quoted phrases, and exact terminology. |
| VECTOR / SEMANTIC | Meaning and paraphrase | Conceptual similarity, multilingual meaning, and vocabulary mismatch. |
| HYBRID / FUSION | Mixed query populations | Combine independent routes only when both materially contribute. |
| RERANKING | Ambiguous candidate sets | Use a verified reranker only when accuracy gain justifies cost and latency. |
| FOUNDER BRAIN | Evidence-backed memory | Persistent context remains attributable, scoped, and explicit about uncertainty. |
| GRAPHIFY / GRAPH | Relationships and impact | Connect decisions, dependencies, entities, files, and downstream effects. |
| OBSIDIAN | Human-readable continuity | Checkpoints, operating records, and project memory remain reviewable outside model. |
10
PROGRAMS / REPOSITORY REFERENCE
Tracked repository modules implement Python installers, TypeScript memory runners, distribution manifests, and automated evaluation suites.
| Repository Path | Role | Architectural Purpose |
|---|---|---|
skills/ |
Five canonical public skills | The source of product behavior and instruction policy. |
skills/hypertaks/references/ |
Operating references | Security kernel, state transactions, retrieval, professional execution, visual delivery. |
runtime/ |
TypeScript routing & brain | Strict reference implementations, state logic, tests, and ChatGPT transport. |
scripts/ |
Python utilities | Installer, updater, retrieval evaluation, charts, validators, distribution builders. |
distribution/ |
Host compatibility records | Registry, package templates, capability matrix, and evidence classifications. |
evals/ |
Verification corpus | Security, quantitative, workflow, retrieval, host, and cross-host conformance cases. |
git clone https://github.com/aabrur/hypertaks-agent.git
cd hypertaks-agent
python scripts/installer.py list-hosts --json
Clone the canonical repository, then use the host-specific installer or plugin manager documented for your environment.
11
REFERENSI & SECURITY KERNEL
Strict security kernels prevent unauthorized file deletion, unverified external API mutations, and unbacked memory claims.
| Reference Module | Security Principle | Enforcement Mechanism |
|---|---|---|
security_kernel.md |
Permission-bounded execution | Explicit user approval required before external mutations or destructive shell commands. |
state_transactions.md |
Transactional continuity | Checkpoint state before complex edits; verify tests before committing changes. |
retrieval_intelligence.md |
Evidence attribution | All claims must cite authoritative local files or verified web sources. |
professional_execution.md |
Surgical code modifications | Touch only what is requested; clean up orphans created by your changes. |