Borrowing it
Nothing to install: this file belongs to axel-sirota/workshop-a2a-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/axel-sirota/workshop-a2a-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/axel-sirota/workshop-a2a-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/axel-sirota/workshop-a2a-mcp/claude-md)<a href="https://agentmods.dev/instructions/axel-sirota/workshop-a2a-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/axel-sirota/workshop-a2a-mcp/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80ร15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/axel-sirota/workshop-a2a-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/axel-sirota/workshop-a2a-mcp/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01623 | $0.01623 |
| Opus 5 | $0.00812 | $0.00812 |
| Sonnet 5 | $0.00325 | $0.00325 |
| Haiku 4.5 | $0.00162 | $0.00162 |
Grade A, and why
workshop-a2a-mcp CLAUDE.md 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 9d 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.
How it starts
The opening of the file, as written. The whole thing โ 204 lines โ stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md - Strict Implementation Rules
๐จ CRITICAL: How to Build This Notebook
Rule 1: NEVER Write Full Files
- WRONG: Creating entire notebook at once
- RIGHT: Build cell by cell, appending to notebook
- Use iterative approach: Plan โ Build Cell โ Next Cell
Rule 2: Cell-by-Cell Development Process
Follow this EXACT pattern for EVERY cell:
# Step 1: Count current cells
python3 -c "import json; nb = json.load(open('workshop_notebook.ipynb')); print(f'Current cells: {len(nb[\"cells\"])}')"
# Step 2: Calculate cell_id for next cell
# If you have N cells, use cell_id="cell-(N-1)" to append at position N
# Step 3: Add the cell using NotebookEdit
NotebookEdit(
notebook_path="/path/to/notebook.ipynb",
edit_mode="insert",
cell_id="cell-X", # X = current_cells - 1
cell_type="markdown" or "code",
new_source="content"
)
IMPORTANT PATTERN TO REMEMBER:
- First cell: Don't specify cell_id (notebook is empty)
- Second cell: Use cell_id="cell-0" (append after first cell)
- Third cell: Use cell_id="cell-1" (append after second cell)
- Fourth cell: Use cell_id="cell-2" (append after third cell)
- Pattern: For cell N, use cell_id="cell-(N-2)" to append at end
Rule 3: Narrative Structure
EVERY section must follow this narrative flow:
- Hook - Why this matters
- Explain - What we're building
- Show - Visual or diagram
- Build - Code implementation
- Test - Verify it works
- Reflect - Key takeaway
Rule 4: Progressive Complexity Mandate
Start ridiculously simple, add complexity gradually:
# Cell 1: Simplest possible
agent = ChatOpenAI()
response = agent.invoke("What is cardiac arrest?")
# Cell 5: Add a tool
agent_with_tool = create_agent(tools=[search_tool])
# Cell 10: Add MCP
agent_with_mcp = create_agent(tools=[mcp_tools])
# Cell 20: Multi-agent
system = create_multi_agent_system()
Rule 5: Documentation Requirements
ENFORCE 50/50 Rule:
- Every code cell MUST have preceding markdown cell
- Markdown must be โฅ 3 sentences
- Include WHY not just WHAT
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.
- 9d ago First seen ยท 204 lines ยท 1,623 tokens per session scan A dbad33b7c11c
workshop-a2a-mcp CLAUDE.md is an instructions file published in the GitHub repository axel-sirota/workshop-a2a-mcp (2 stars, last pushed 11mo ago), licensed Apache-2.0. It adds 1,623 tokens to every session, about $0.0081 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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