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Speclint

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Frustration before Speclint: vague, inconsistent specs lead to misinterpretation by AI agents and stalled development. Speclint scores specs 0-100 across 5 dimensions with deterministic regex, removing guesswork.

Stop Wasting Time on Ambiguity

With Speclint, teams enforce objective criteria: Measurable Outcomes, Testable Criteria, Constraints, No Vague Verbs, and Verification Steps, creating a clear feedback loop before coding.

The 'Aha!' Moment

The deterministic scoring eliminates AI hallucinations; the AI-powered rewrite fixes failing specs so agents understand and deliver faster, boosting CI/CD confidence.

Verification Options:

1.

Email Verification: Verify ownership through your domain email.

2.

File Verification: Place our file in your server.

After verification, you'll have access to manage your AI tool's information (pending approval).

How Speclint Works In 3 Steps?

  1. 1. Install Speclint

    Install via npm and run npx speclint lint to score your specs.
  2. 2. Score a Spec

    Paste your user story to receive a 0-100 score across 5 dimensions.
  3. 3. Rewrite (optional)

    Enable AI-powered rewrite to fix failing specs and pass checks.

Customer Reviews for Speclint

Overall Analytics

Comprehensive review insights and historical performance

Very Positive (2) 5.0/5 2 reviews 100% recommend — Monthly growth
6-month timeline
Most helpful
Olivia Brown
Olivia Brown 0

As a product manager at a fast-moving SaaS startup, Speclint's deterministic 0-100 scoring across 5 dimensions became our audit trail for handoffs. The hero feature—gate PRs with auditable scores—delivered clear criteria engineers and QA could trust. The AI rewrite reduced vague specs, boosting backlog quality. The MCP server setup in our mono-repo was fiddly and the 70+ threshold sometimes felt too rigid for early discovery. Still, for sprint governance it's a win.

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Recent Review Statistics

Sentiment analysis and trends from the last Last 30 days

5.0/5
2 reviews
Very Positive (2) New reviews
Trend: Steady Velocity: 0.1/day Engagement: 0%
Velocity utilization 14%
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Showing 1 - 2 of 2 reviews .

User avatar for Olivia Brown

Olivia Brown

Verified purchase
5.0
Recommends

Deterministic scoring and AI rewrite elevate handoffs, with setup caveat

Used for week to month

What I liked

  • Hero Feature: Deterministic 0-100 scoring across 5 dimensions provides auditable handoff gates.
  • AI-powered Rewrite quickly fixes vague specs, reducing rework.
  • CLI/CI integration with GitHub Actions keeps checks in the development flow.
  • Open Source MIT license offers transparency and easy customization.

What could be better

  • MCP server setup in a mono-repo required extra wiring and time to get right.
  • The 70+ threshold felt too rigid for early discovery in new features.
  • Docs sometimes lag behind new features; onboarding took longer.

As a product manager at a fast-moving SaaS startup, Speclint's deterministic 0-100 scoring across 5 dimensions became our audit trail for handoffs. The hero feature—gate PRs with auditable scores—delivered clear criteria engineers and QA could trust. The AI rewrite reduced vague specs, boosting backlog quality. The MCP server setup in our mono-repo was fiddly and the 70+ threshold sometimes felt too rigid for early discovery. Still, for sprint governance it's a win.

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User avatar for Chen Wei

Chen Wei

5.0
Recommends

AI rewrite shines for quick spec work, but pipeline quirks bite

Used for less than week

What I liked

  • Hero Feature: AI-powered Rewrite converts vague requirements into agent-ready specs.
  • Deterministic scoring: 0-100 across 5 dimensions gives a clear progress yardstick.
  • CI/CD integration via GitHub Action accelerates automated checks.
  • Open Source MIT license enables quick customization for our stack.

What could be better

  • Pebble: The AI rewrite sometimes misinterprets domain terms, needing manual corrections.
  • Pebble: The GitHub Action sometimes runs longer than the rest of the pipeline, delaying feedback.
  • Docs gloss over edge cases; adding more real-world examples would help.

As a freelance backend engineer, Speclint's AI-powered Rewrite turned vague backlog items into testable specs in minutes. The hero feature saved me hours and made handoff to a junior dev painless. The GitHub Action gating kept QA honest, but occasionally the action ran longer than our tests and needed a manual nudge. Open-source MIT lets me tailor domain terms, but a few edge cases still require tweaks.

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Speclint: Features, Advantages & FAQs

Explore everything you need to know about Speclint

Core Features
  • Deterministic Scoring: 0-100 across 5 dimensions
  • CLI, GitHub Action & MCP Server: Flexible deployment
  • AI-powered Rewrite: Fixes failing specs
  • Agent-ready Threshold: 70+ scoring
  • Open Source MIT: Transparent, extensible code
Advantages
  • Deterministic 0-100 scoring
  • Reduces AI hallucinations
  • Multiple deployment options
  • Open-source MIT license
  • Freemium pricing starting at $9/mo
Use Cases
  • Score user stories before AI handoff
  • Add spec quality gates to CI/CD
  • Rewrite vague requirements into agent-ready specs
  • Audit backlog quality across a sprint
  • Validate specs for measurable outcomes
  • Ensure testable criteria before development

Frequently Asked Questions

Is Speclint open source?

Yes, Speclint is open source under the MIT license.

How is the score calculated?

The score uses deterministic regex across 5 dimensions; no LLM needed.

What can Speclint integrate with?

CLI, GitHub Action, MCP Server, and REST API.

What is the recommended use case?

Score specs before handing to AI agents to reduce hallucinations.

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