SpecScore vs Task Master AI
Task Master AI (the task-master-ai package, also called Taskmaster) is a task manager for AI coding agents. A product requirements document (PRD) is a prose document of what to build; Task Master’s README says to put one at .taskmaster/docs/prd.txt and parse it into tasks. Spec-driven development (SDD) is the practice of specifying behavior before code. SpecScore is an open-source format for that specification, plus a command-line interface (CLI) that checks it. Continuous integration (CI) — an automatic check on every proposed change — runs that check in this repository. Task Master does not publish a spec format for CI to lint.
What they share.
What Task Master AI does well.
Facts below are from the project README and docs index, read 30 October 2026. Tool counts and model lists in that README change often, so they are not repeated here.
A PRD becomes a task list
The README’s path is concrete: task-master parse-prd reads a PRD and generates tasks. task-master next points at the next task. task-master expand breaks a task down. Tags move work between streams. That is a useful layer once you already know what you are building.
It shows up inside the editor
The recommended install is a Model Context Protocol (MCP) server — a small program the editor calls — via npx -y task-master-ai, including a one-step install for Cursor and a claude mcp add line for Claude Code. The agent then parses, lists, and updates tasks without a separate dashboard.
Research with the project in context
task-master research is documented as a way to ask a model about a library or a migration using the current project as context. Several model providers are supported. The README says commands that call a model need an API key, unless you use the Claude Code or Codex CLI paths it lists.
Feature comparison.
Task Master manages tasks. SpecScore is the specification those tasks can cite. The table compares those roles.
| Capability | Task Master AI | SpecScore |
|---|---|---|
| Primary role | Task list for AI coding agents, parsed from a PRD | Open spec format + CLI |
| Input | Prose PRD, documented at .taskmaster/docs/prd.txt | Structured Markdown + YAML with required sections |
| What you get | Tasks, dependencies, tags, and a “next task” pointer | Requirements, acceptance criteria, plans, and tasks that cite requirement ids |
| Checking the spec | No documented linter for the PRD. The model parses free text. | specscore spec lint in CI. /score is a manual AI grade of the wording. |
| Runtime | Node.js, usually through the MCP server. Model calls need a provider key or a local Claude Code / Codex CLI, per the README. | One Go binary. Lint does not call a model. |
| License | The public repository is MIT plus a Commons Clause. The README says you may use and modify it, and may not sell Task Master itself or offer it as a hosted service. | CC BY 4.0 format · Apache-2.0 CLI |
What SpecScore adds.
A PRD is not a lintable spec
Task Master’s quality depends on how detailed the PRD is — the README says so. Nothing in that README checks the PRD’s structure before the model parses it. SpecScore refuses a feature that is missing a required section. dogfood.yml runs specscore spec lint on every pull request. The /score skill is a second, manual pass over wording. It is not the CI command.
$ specscore spec lint features/apply-discount/README.md:0 [error] oq-section: Open Questions section not found features/apply-discount/README.md:0 [error] index-entries: Child directory not listed in index: refunds features/apply-discount/refunds:0 [error] readme-exists: README.md not found 3 violations found (3 errors)
Tasks can cite a requirement
Task Master gives tasks numeric ids and dependencies. SpecScore gives requirements stable ids (REQ: slug). A plan task can name the criterion it satisfies, and a commit trailer can name it again. The task list and the spec stop being two unrelated documents.
Lint does not need an API key
Parsing a PRD in Task Master calls a model. Checking a SpecScore tree does not. The CLI is a Go binary from specscore/specscore-cli, so CI can run it without a provider account.
When to use which.
Reach for Task Master AI when…
- You already have a PRD and you want an agent to split it into ordered tasks inside Cursor, Claude Code, or another MCP client.
- You want next-task, expand, tags, and research as editor commands.
- The thing you are managing is the task board, not a reusable spec format.
Use SpecScore when…
- The requirements themselves must be structured, identifiable, and rejected by CI when they break the format.
- You do not want a model call in the path that decides whether the spec is well-formed.
- You want the format open-source under CC BY 4.0, with an Apache-2.0 CLI.
Parse tasks from a spec that already lints.
Task Master is a strong task board. It is not a specification language. Write the behavior in SpecScore, let CI lint it, and point the task list at REQ: slug ids. If you still want Task Master’s editor tools, feed it a PRD you generated from a spec that already passed specscore spec lint.
Use Task Master AI to sequence work. Use SpecScore so the work has a contract.
Sources.
The public pages below were read on 30 October 2026. Prices, plan names, and release lines change.
Other comparisons.
The same format, set next to other spec-driven tools:
All of them, on one page: best spec-driven development tools in 2026.
Feedback
This comparison is based on publicly available documentation and source code. Something wrong or outdated? open a correction issue. Want us to compare SpecScore with another tool? request one.