Use when executing, coordinating, planning, or reviewing knowledge graph agent workflows, cognitive loops, and architecture standards.
Scanned 9/29/2026
npx -y skills add Harmitx7/tribunal-kit --skill knowledge-graph --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: knowledge-graph
description: "Use when executing, coordinating, planning, or reviewing knowledge graph agent workflows, cognitive loops, and architecture standards."
version: 6.0.0
last-updated: 2026-09-29
skills:
- codebase-design
- architecture
- fabel-protocol
tools: Read, Grep, Glob, Bash, Edit, Write
scripts-binding:
- .agent/scripts/graph_builder.js
- .agent/scripts/graph_zoom.js
- .agent/scripts/verify_all.js
- .agent/scripts/lint_runner.js
---
# /graph — Knowledge Graph Skill v3.0
## Mandatory Pre-Flight Context Inspection
Before reading, generating, or refactoring code in the `knowledge-graph` domain, inspect these 5 critical parameters:
1. **System Boundaries & Dependencies**: Verify that all required dependencies exist in target package manifests and environment paths.
2. **Runtime Context & Platform Invariants**: Confirm target platform constraints (Node.js, Browser, Mobile OS, Edge runtime) before applying APIs.
3. **Execution Guardrails**: Identify potential side-effects, state mutations, and unhandled asynchronous exceptions.
4. **Validation & Type Contracts**: Validate input data schemas and strict type constraints across all module interfaces.
5. **Observability & Proof of Execution**: Ensure execution produces tangible verification signals (terminal output, tests, metrics).
## Activation Boundaries
- **Activate when:** Use when executing, coordinating, planning, or reviewing knowledge graph agent workflows, cognitive loops, and architecture standards.
- **DO NOT activate when:** The task falls outside the `knowledge-graph` domain or is managed by a different dedicated specialist agent.
## 🔁 Multi-Pass Execution Protocol
| Pass | Phase | Core Action | Adaptive Depth |
|:---|:---|:---|:---|
| **Pass 1** | **Understand** | Deconstruct the user's explicit objective, implicit requirements, and platform constraints. | Fast / Standard / Deep |
| **Pass 2** | **Plan** | Decompose task into smallest logical steps; map dependencies, affected files, and tool calls. | Standard / Deep |
| **Pass 3** | **Execute** | Implement solution with production-grade craft, zero placeholders, and strict typing. | All Modes |
| **Pass 4** | **Verify** | Run linters, unit tests, or compiler checks to validate structural correctness. | All Modes |
| **Pass 5** | **Attack & Falsify** | Perform adversarial search for edge-case failures, counterexamples, race conditions, and traps. | Standard / Deep |
| **Pass 6** | **Harden** | Eliminate discovered friction, optimize performance, and harden error boundaries. | Standard / Deep |
| **Pass 7** | **Quality Gate** | Enforce Verification-Before-Completion (VBC) with concrete terminal proof before finalizing. | All Modes |
---
## 🛠️ Technical Architecture & Reference Recipes
## The Token Reduction Protocol (Option C)
**DO NOT READ RAW SOURCE FILES IF A SNAPSHOT EXISTS.**
Reading raw project files wastes up to 50,000 tokens per edit. You must use the pre-computed Context Snapshots instead. These snapshots contain the file's content, resolved imports, dependent files, and risk scores all in one JSON blob.
## Pre-Flight Checklist
- [ ] Have I run the Macro Mapper to generate the latest Context Snapshots?
- [ ] Am I reading from `.agent/history/snapshots/` instead of directly grepping the project?
- [ ] Have I respected the `blastRadius` before modifying a file?
## Execution Protocol
1. **Step 1: The Macro Map (Blast Radius & Snapshot Engine)**
Execute the graph builder to map module boundaries and compute downstream risk scores. This also automatically generates a Context Snapshot for every file.
```bash
node .agent/scripts/graph_builder.js
```
2. **Step 2: Read Context Snapshots (MANDATORY)**
Instead of using `cat` or `grep` to read a file, read its snapshot. Snapshots are stored in `.agent/history/snapshots/` with slashes replaced by `__`.
_Example:_ To edit `src/middleware/auth.js`, read `.agent/history/snapshots/src__middleware__auth.js.json`.
This gives you:
- The full source code of the target file.
- The exported symbols of every file it imports.
- The list of files that depend on it.
- Its exact `riskScore` and `blastRadius`.
3. **Step 3: Interactive Visualization (For Humans)**
The user can view a sleek, zero-dependency visualizer of the codebase. You can prompt them to run:
```bash
npx tribunal-kit graph
```
4. **Step 4: The Micro Zoom (Legacy Street View)**
If a snapshot is unavailable or too large, you can fall back to the zoomer to get its structural skeleton:
```bash
node .agent/scripts/graph_zoom.js --focus <path_to_file>
```
## VBC Protocol (Verification-Before-Completion)
You are explicitly forbidden from guessing or "hallucinating" what functions, props, or variables exist inside a file. You MUST read the Context Snapshot (or use `graph_zoom.js`) to verify a component's exact signature before you attempt to call it, mock it, or rewrite it. Always respect the Blast Radius Risk Score before deleting or mutating files.
## 🚨 Edge-Case & Failure Mode Matrix
| Scenario | Risk | Production Mitigation |
|:---|:---|:---|
| **Empty or Null Inputs** | Unhandled exception or unexpected rendering collapse | Enforce fallback guards, optional chaining, and explicit empty state handlers |
| **Network Timeout / Latency** | Hanging operations or duplicate side-effects | Implement bounded abort controllers, exponential backoff, and idempotency keys |
| **Concurrency / Race Conditions** | Stale state overwrite or inconsistent data mutations | Use atomic transactions, mutex locking, or cancel-on-resubmit controls |
| **Invalid Schema / Malformed Payload** | Downstream runtime errors or security injection | Validate boundary payloads with Zod/Pydantic schemas prior to execution |
| **Resource / Memory Saturation** | OOM errors, frame drops, or memory leaks | Clean up listeners, cancel active timers, and enforce pagination/virtualization |
## 🤖 LLM-Specific Traps Table
| Anti-Pattern | What AI Commonly Does Wrong | What Is Actually Correct |
|:---|:---|:---|
| **Hallucinated Tool Capabilities** | Assuming an external library or CLI command exists without verification | Run a verification check or verify package.json before referencing tools |
| **Premature Completion Claim** | Declaring a task finished because code was generated without verification | Execute tests, linters, or terminal commands to provide concrete proof |
| **Context Bloat Dumping** | Pasting entire multi-thousand-line files into prompt context | Extract targeted excerpts, symbols, and signatures to preserve tokens |
## 🏛️ Tribunal Verification & Guardrails
**Active Reviewers:** `orchestrator` · `agent-organizer` · `logic-reviewer`
**Slash Command:** `/review` or `/tribunal-full`
### 🔬 Evidence Standard (Tri-State Verification)
Every finding, audit statement, or completion claim must classify its factual certainty:
- **`[OBSERVED]`**: Directly confirmed in the codebase or verified via executed terminal command.
- **`[INFERRED]`**: Logically deduced from code patterns, architectural data flow, or schema relations.
- **`[UNVERIFIED]`**: Speculative hypothesis or runtime possibility requiring active testing or measurement.
### ✅ Pre-Flight Self-Audit Checklist
```
✅ Did I deconstruct the root objective before proposing architecture?
✅ Did I identify dependencies, bottlenecks, and parallelizable sub-tasks?
✅ Did I avoid over-engineering and select the simplest effective pattern?
✅ Did I verify assumptions with concrete file reads instead of speculation?
✅ Did I establish measurable verification criteria before completion?
```
### 🛑 Verification-Before-Completion (VBC) Protocol
**CRITICAL:** You must follow a strict "evidence-based closeout" state machine.
- ❌ **Forbidden:** Declaring a task complete because the output "looks correct."
- ✅ **Required:** You are explicitly forbidden from finalizing any task without providing **concrete evidence** (terminal output, passing test suites, compiler success, or equivalent operational proof) that your output works as intended.
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