Borrowing it
Nothing to install: this file belongs to sfc-gh-dflippo/snowflake-dbt-demo. 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/sfc-gh-dflippo/snowflake-dbt-demo/main/.claude/skills/task-master/SKILL.mdgit clone --depth 1 https://github.com/sfc-gh-dflippo/snowflake-dbt-demoWrote 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/skills/sfc-gh-dflippo/snowflake-dbt-demo/task-master)<a href="https://agentmods.dev/skills/sfc-gh-dflippo/snowflake-dbt-demo/task-master"><img src="https://agentmods.dev/badge/skills/sfc-gh-dflippo/snowflake-dbt-demo/task-master/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/skills/sfc-gh-dflippo/snowflake-dbt-demo/task-master"><img src="https://agentmods.dev/badge/skills/sfc-gh-dflippo/snowflake-dbt-demo/task-master.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 189 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00048 | $0.01485 |
| Opus 5 | $0.00024 | $0.00743 |
| Sonnet 5 | $0.00010 | $0.00297 |
| Haiku 4.5 | $0.00005 | $0.00148 |
Grade A, and why
task-master 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 10d 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 — 282 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Task Master AI
An AI-powered task management system that integrates seamlessly with AI Agents to manage specification-driven development workflows.
Quick Start
Three Ways to Use Task Master:
- MCP Tools (Recommended) - Direct integration via Model Context Protocol
- CLI Commands - Terminal-based task management
- Tagged Contexts - Multi-branch/feature task isolation
Core Capabilities
Task Management
- Parse PRDs into actionable tasks automatically
- Break down complex tasks into manageable subtasks
- Track task dependencies and status
- Support for multiple task contexts (tags) for features/branches
AI-Powered Features
- Complexity analysis with recommendations
- Research-backed task expansion
- Intelligent task updates based on implementation drift
- Fresh information gathering beyond knowledge cutoff
Development Workflow
- Specification-driven development (SDD) support
- Iterative subtask implementation logging
- Git branch-aligned task contexts
- Team collaboration with isolated task lists
When to Use This Skill
✅ Use Task Master when:
- Starting a new project from a PRD
- Managing complex multi-step features
- Working on feature branches with isolated tasks
- Need to track task dependencies and priorities
- Want AI-assisted task breakdown and planning
- Collaborating with team members on shared codebase
- Need to log implementation progress iteratively
❌ Skip Task Master for:
- Simple single-file changes
- Quick bug fixes
- Trivial tasks with no dependencies
- Projects without formal requirements
Setup
Prerequisites
- Node.js installed
- API keys for AI providers (Anthropic, Perplexity, etc.)
- Git repository (optional, for branch-based workflows)
Installation
Global Installation:
npm install -g task-master-ai
Project-Local:
npm install task-master-ai
MCP Configuration
Add to your MCP config file (.cursor/mcp.json, .vscode/mcp.json, etc.):
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 282 lines · 48 tokens per session scan A 5871e36a0428
task-master is a skill published in the GitHub repository sfc-gh-dflippo/snowflake-dbt-demo (33 stars, last pushed today), licensed Apache-2.0. It adds 48 tokens to every session and 1,485 once invoked, about $0.0002 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.
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