Borrowing it
Nothing to install: this file belongs to timescale/tiger-slack. 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/timescale/tiger-slack/main/CLAUDE.mdgit clone --depth 1 https://github.com/timescale/tiger-slackWrote 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/timescale/tiger-slack/claude-md)<a href="https://agentmods.dev/instructions/timescale/tiger-slack/claude-md"><img src="https://agentmods.dev/badge/instructions/timescale/tiger-slack/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 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/timescale/tiger-slack/claude-md"><img src="https://agentmods.dev/badge/instructions/timescale/tiger-slack/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 | $0.02515 | $0.02515 |
| Opus 5.5 | $0.01006 | $0.01006 |
| Sonnet 5.5 | $0.00503 | $0.00503 |
| Haiku 4.5 | $0.00251 | $0.00251 |
Grade A, and why
tiger-slack 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 2mo 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 — 306 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tiger Slack - AI-Powered Slack Analytics Platform
This project provides AI-accessible Slack workspace analytics through real-time data ingestion, TimescaleDB storage, and MCP (Model Context Protocol) integration for Claude Code.
Architecture Overview
ingest/- Python service for real-time Slack event ingestion and historical data importmcp/- TypeScript MCP server providing AI-accessible APIs for Slack data analysis- TimescaleDB - Time-series database optimized for Slack message storage and analytics
- Docker Compose - Local development environment with all services
Development Commands
Service Management
docker compose up -d # Start all services (TimescaleDB, ingest, MCP server)
docker compose down # Stop all services
docker compose logs -f # View service logs
docker compose restart # Restart all services
docker compose down -v && docker compose up -d # Reset with fresh volumes
docker compose down -v --remove-orphans && docker system prune -f --volumes && docker compose up -d --build # Complete rebuild (destroys all data)
Database Access
psql -d "postgres://tsdbadmin:password@localhost:5432/tsdb" # Connect to TimescaleDB via psql
MCP Integration Setup
# Add Logfire MCP to Claude Code (requires LOGFIRE_READ_TOKEN in .env)
claude mcp add -s project logfire -e LOGFIRE_READ_TOKEN="your-token-here" -- uvx logfire-mcp@latest
# Add Tiger Slack MCP to Claude Code
claude mcp add -s project --transport http tiger-slack http://localhost:3001/mcp
Service-Specific Commands
Ingest Service (ingest/)
cd ingest/
just deps # Install/sync dependencies
just run # Run ingest service locally
just migrate # Run database migrations
just jobs # Run scheduled sync jobs manually
just import /path/to/export # Import Slack workspace export
just lint && just format && just typecheck # Code quality checks
just build-image # Build Docker image
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.
- 2mo ago First seen · 306 lines · 2,515 tokens per session scan A 0fdb03def689
tiger-slack CLAUDE.md is an instructions file published in the GitHub repository timescale/tiger-slack (49 stars, last pushed 17d ago), licensed Apache-2.0. It adds 2,515 tokens to every session, about $0.0101 per session on Opus 5.5. 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 2026-08-30.
tiger-slack CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| tiger-slack CLAUDE.mdtimescale/tiger-slack | Instructions file | 49 | 17d ago | Apache-2.0 | A | 2,515 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |