slack-mcp CLAUDE.md

slack-mcp CLAUDE.md is an instructions file for coding agents from jamessmoore/slack-mcp. It costs 2,384 tokens per session, scanned A, original, Apache-2.0.

Repository-specific instructions for Claude Code in a Slack integration project. They describe the AWS deployment architecture, required workflow, current project status, and deployment identity and access rules.

In plain words
What is it for?
Guiding work on the AWS Lambda, API Gateway, AgentCore Gateway, and Slack MCP server, including its Python port and required project workflow.
Why use it?
They help agents avoid treating stale information as current and reduce deployment, permissions, and compatibility mistakes.

Instructions file

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/jamessmoore/slack-mcp/claude-md
Clone the repo
git clone --depth 1 https://github.com/jamessmoore/slack-mcp

Wrote 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.

agentmods badge for slack-mcp CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/jamessmoore/slack-mcp/claude-md.svg)](https://agentmods.dev/instructions/jamessmoore/slack-mcp/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/jamessmoore/slack-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/jamessmoore/slack-mcp/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 2,384 This file is loaded in full into every session.
When invoked 2,384 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found 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 5.1 $0.02384 $0.02384
Opus 5 $0.01192 $0.01192
Sonnet 5 $0.00477 $0.00477
Haiku 4.5 $0.00238 $0.00238

Measured 4d ago against content hash ce1dc208be5c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

slack-mcp CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d 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.

CLAUDE.md · 190 lines

How it starts

The opening of the file, as written. The whole thing — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

Guidance for Claude Code when working in this repository.

Project

An AWS-native MCP server exposing post_to_slack/post_file_to_slack, reachable via an Amazon Bedrock AgentCore Gateway (AWS_IAM authorizer) so AWS-internal AI callers can post to Slack mid-reasoning without each project vendoring its own copy of the Slack integration. Backend is a Lambda (container image, Python 3.13) running a FastMCP streamable-HTTP server wrapped for Lambda via Mangum, fronted directly by an API Gateway HTTP API (AWS_PROXY integration — no VPC Link/ALB/ECS hop). See README.md for the full architecture diagram and rationale.

This is a re-hosting of tool logic that already exists and is already proven in the sibling repo daily-tech-brief-bedrock (app/slack_mcp_server/index.js, a vendored Node.js MCP server called over stdio) — server/slack_tools.py is a faithful Python port of that logic, not a rewrite, kept wire-compatible (same tool names, same chunking constant) so migrating callers is a drop-in swap. The AgentCore Gateway/Lambda/API Gateway pattern itself is copied from CoreSample, which deployed and verified the identical shape end-to-end in production before being torn down (see CoreSample/CLAUDE.md).

Deliberately scoped to one AI caller for now (daily-tech-brief-bedrock), not a shared multi-project server. A separate project, webtechhq-site, also posts to Slack but via a raw incoming webhook with no LLM in the trigger path — that's a packaged automation, not a tool-use decision, so it has no reason to go through MCP and is explicitly out of scope here (see the vault's PROJECTS/slack-mcp.md 2026-07-15 scope decision).

Current status — read before assuming anything is stale

As of this writing: live and deployed. Real AWS resources exist and the full CI/CD path (feature branch → PR → passing test CI → merge to main → auto-triggered .github/workflows/deploy.yml via GitHub OIDC → terraform apply → image build/push → aws lambda update-function-code) has been proven end-to-end more than once. Current shape:

Read the full file on GitHub · 190 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. 4d ago First seen · 190 lines · 2,384 tokens per session scan A ce1dc208be5c

Subscribe to this mod's changes

slack-mcp CLAUDE.md is an instructions file published in the GitHub repository jamessmoore/slack-mcp (0 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 2,384 tokens to every session, about $0.0119 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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