Project

A project instruction document that defines a required five-phase workflow for an AI assistant.

In plain words
What is it for?
Use it as guidance for how the assistant should handle tasks in the itshare4u/AgentKnowledgeMCP project.
Why use it?
It gives the assistant project-specific rules for research, planning, execution, and documentation.

Instructions file for GitHub Copilot

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/itshare4u/agentknowledgemcp/project
Clone the repo
git clone --depth 1 https://github.com/itshare4u/AgentKnowledgeMCP

Made for: GitHub Copilot.

Per session 1,249 This file is loaded in full into every session.
When invoked 1,249 The same file โ€” it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.01249 $0.01249
Opus 5 $0.00624 $0.00624
Sonnet 5 $0.00250 $0.00250
Haiku 4.5 $0.00125 $0.00125

Measured 2d ago against content hash 911a3921108a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

Project scanned grade A with 0 findings against 26 rules in 11 categories โ€” prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency โ€” measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to AgentKnowledgeMCP copilot-instructions.md โ€” 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.github/instructions/Project.instructions.md ยท 126 lines

How it starts

The opening of the file, as written. The whole thing โ€” 126 lines โ€” stays where its author put it; the contents beside it link to each section on GitHub.

# AI Assistant Instructions

## ๐Ÿšจ **MANDATORY 5-PHASE WORKFLOW - MUST FOLLOW - NO EXCEPTIONS**

**THIS IS THE REQUIRED EXECUTION PROCESS FOR ALL TASKS - VIOLATION = FAILED TASK**

**๐ŸŽฏ EXECUTION PRINCIPLE:**
This is the workflow you must follow when working with ANY task, no exceptions. Violations mean task failure. However, respond to users naturally and conversationally - avoid rigidly listing "Step 1, Step 2, Step 3" but remember you MUST follow this workflow strictly without exception.

**๐Ÿ’ก COMMUNICATION STYLE:**
- โœ… **Natural**: "Let me check what we know about this..." (while doing Phase 1 research)
- โœ… **Conversational**: "I'll get some project-specific guidance first..." (while doing Phase 2 planning)  
- โœ… **Helpful**: "Once I complete this, I'll document it for future reference..." (while doing Phase 4 documentation)
- โŒ **Rigid**: "Now I will execute Phase 1 of the mandatory workflow..."
- โŒ **Robotic**: "Proceeding to Step 2 as required by protocol..."

**๐Ÿšจ REMINDER**: Be natural and helpful in communication, but the workflow execution is NON-NEGOTIABLE!

### **๐Ÿ“Š PHASE 1: RESEARCH**
**RULE 1**: Always start with "Let me check the knowledge base first..."

**โš ๏ธ CRITICAL REQUIREMENT: MUST CALL `search` TOOL FOR KNOWLEDGE BASE EVERY USER RESPONSE**

**Required Actions:**
```
1. ๐Ÿšจ MANDATORY: Search knowledge base with `search` tool for relevant information
   - This is REQUIRED for EVERY user response
   - NO EXCEPTIONS - failure to search = workflow violation
   - ALWAYS start with knowledge base search first
2. ๐Ÿšจ MANDATORY: If not found โ†’ search other available indices with `list_indices` tool
   - This is REQUIRED if knowledge base search yields no results
   - Use `list_indices` tool to find other available indices
3. โœ… Check `get_config` for current settings if needed
4. โœ… Report findings: "Found: [detailed summary]" or "Not found: [what was searched]"
```

**ENFORCEMENT:**
- โŒ **FORBIDDEN**: Skipping knowledge base search
- โŒ **FORBIDDEN**: Starting with assumptions or guesswork
- โœ… **REQUIRED**: Search existing knowledge before proceeding

**Goal**: Understand task context and gather existing knowledge

---

### **๐ŸŽฏ PHASE 2: PLANNING**
**RULE 2**: After research completed, analyze and get project guidance

**โš ๏ธ CRITICAL REQUIREMENT: MUST CALL `ask_mcp_advice` TOOL EVERY USER RESPONSE**

**Required Actions:**
```
1. โœ… Analyze what needs to be done based on research findings
2. ๐Ÿšจ MANDATORY: Call `ask_mcp_advice` tool with intended action and task description
   - This is REQUIRED for EVERY user response
   - NO EXCEPTIONS - failure to call = workflow violation
   - Call EXACTLY ONCE per user response - not multiple times
3. โœ… Use returned guidance to inform approach
4. โœ… Follow guidance precisely for implementation
```

**ENFORCEMENT:**
- โŒ **FORBIDDEN**: Skipping `ask_mcp_advice` call
- โŒ **FORBIDDEN**: Calling `ask_mcp_advice` multiple times per user response
- โœ… **REQUIRED**: Exactly 1 call per user response in Phase 2

**Goal**: Get project-specific guidance before implementation

---

### **โšก PHASE 3: EXECUTION**
**RULE 3**: Implement with guidance, ask for help when uncertain

**โš ๏ธ CRITICAL REQUIREMENT: IF UNCERTAIN OR STUCK MUST CALL `ask_user_advice` TOOL**

**Required Actions:**
```
1. โœ… Execute task following guidance from Phase 2
2. โœ… If uncertain or stuck โ†’ MANDATORY: Call `ask_user_advice` tool
3. โœ… Continue until task is completed successfully
```

**Goal**: Complete task effectively with available guidance

---

### **๐Ÿ“š PHASE 4: DOCUMENTATION**
**RULE 4**: After task completion, preserve knowledge

**โš ๏ธ CRITICAL REQUIREMENT: MUST CALL `index_document` TOOL FOR DOCUMENTATION**

**Required Actions:**
```
1. โœ… Create knowledge base document for task/solution/discovery
2. โœ… Include: problem, solution steps, lessons learned, user feedback
3. ๐Ÿšจ MANDATORY: Call `create_document_template` tool before calling `index_document` tool to ensure proper document structure.
4. ๐Ÿšจ MANDATORY: Call `index_document` tool with appropriate tags for searchability

Read the full file on GitHub ยท 126 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen ยท 126 lines ยท 1,249 tokens per session scan A 911a3921108a

Subscribe to this mod's changes

Project is an instructions file published in the GitHub repository itshare4u/AgentKnowledgeMCP (27 stars, last pushed 1y ago), licensed MIT. It adds 1,249 tokens to every session, about $0.0062 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to AgentKnowledgeMCP copilot-instructions.md, differing in 0 lines, and is treated as a copy.

Related

Other instructions, from other repositories

codex AGENTS.md

AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.

openai/codex ยท 5,182 tokens

buildNext

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode ยท 6,785 tokens

next.js AGENTS.md

Instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.

vercel/next.js ยท 7,296 tokens

vscode oss-third-party-notices.instructions.md

Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).

microsoft/vscode ยท 5,001 tokens

spec-kit AGENTS.md

Instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart โ€” add a new integration in 5 steps, integration architecture and integrationmanifest โ€” file tracking.

github/spec-kit ยท 7,040 tokens

langchain AGENTS.md

Instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.

langchain-ai/langchain ยท 4,345 tokens