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.
npx agentmods add instructions/leonardsellem/readwise-vector-db/agents-mdgit clone --depth 1 https://github.com/leonardsellem/readwise-vector-dbWhat 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 | $0.03950 | $0.03950 |
| Opus 5 | $0.01975 | $0.01975 |
| Sonnet 5 | $0.00790 | $0.00790 |
| Haiku 4.5 | $0.00395 | $0.00395 |
Grade A, and why
readwise-vector-db AGENTS.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 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.
How it starts
The opening of the file, as written. The whole thing — 541 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Task Master AI - Claude Code Integration Guide
Essential Commands
Core Workflow Commands
# Project Setup
# Initialize Task Master in current project
task-master init
# Generate tasks from PRD document
task-master parse-prd .taskmaster/docs/prd.txt
# Configure AI models interactively
task-master models --setup
# Daily Development Workflow
# Show all tasks with status
task-master list
# Get next available task to work on
task-master next
# View detailed task information (e.g., task-master show 1.2)
task-master show <id>
# Mark task complete
task-master set-status --id=<id> --status=done
# Task Management
# Add new task with AI assistance
task-master add-task --prompt="description" --research
# Break task into subtasks
task-master expand --id=<id> --research --force
# Update specific task
task-master update-task --id=<id> --prompt="changes"
# Update multiple tasks from ID onwards
task-master update --from=<id> --prompt="changes"
# Add implementation notes to subtask
task-master update-subtask --id=<id> --prompt="notes"
# Analysis & Planning
# Analyze task complexity
task-master analyze-complexity --research
# View complexity analysis
task-master complexity-report
# Expand all eligible tasks
task-master expand --all --research
# Dependencies & Organization
# Add task dependency
task-master add-dependency --id=<id> --depends-on=<id>
# Reorganize task hierarchy
task-master move --from=<id> --to=<id>
# Check for dependency issues
task-master validate-dependencies
# Update task markdown files (usually auto-called)
task-master generate
Key Files & Project Structure
Core Files
.taskmaster/tasks/tasks.json- Main task data file (auto-managed).taskmaster/config.json- AI model configuration (usetask-master modelsto modify).taskmaster/docs/prd.txt- Product Requirements Document for parsing.taskmaster/tasks/*.txt- Individual task files (auto-generated from tasks.json).env- API keys for CLI usage
Claude Code Integration Files
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.
- 2d ago First seen · 541 lines · 3,950 tokens per session scan A 3f9d42498f8d
readwise-vector-db AGENTS.md is an instructions file published in the GitHub repository leonardsellem/readwise-vector-db (24 stars, last pushed 1y ago), licensed MIT. It adds 3,950 tokens to every session, about $0.0198 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 2026-08-30.
Other instructions, from other repositories
mcp-server-milvus python-calisthenics.instructions.md
Enforces Object Calisthenics principles for business domain code to ensure clean, maintainable, and robust code in Python.
mcp-memory-service CLAUDE.md
Instructions for doobidoo/mcp-memory-service, covering claude.md, non-negotiables (hard rules), critical directives, operational rules and auto-save learnings.
intervals-icu-mcp CLAUDE.md
Instructions for hhopke/intervals-icu-mcp, covering claude.md, project overview, development commands, architecture (quick reference) and tool categories.
ai-toolkit AGENTS.md
Instructions for pipefy/ai-toolkit, covering repository guidelines, documentation map, project structure, import namespace migration: pipefysdk → pipefy and src/pipefysdk/init.py (transitional shim).
flyto-core CLAUDE.md
Instructions for flytohub/flyto-core, covering claude notes, cross-agent handoff and shared code intelligence.
Plonk AGENTS.md
Instructions for ostapondo/Plonk, covering agent rules, layout, adding a module, build & verify and code style.