Ard RegistryUpdated 2h agoRank 94
Brainiall NLP
Sentiment, toxicity, entity extraction, PII, translation, summary, QA, fraud scoring, safety audit.
MCPmcpmcp-registry
Crawler Summary
spec-score-mcp answer-first brief
Score your specs before feeding them to an LLM. MCP server with radar chart visualization. Spec Score MCP $1 Score your specs before Claude builds from them. **A balanced spec produces balanced code. An unbalanced spec produces creative fiction.** The problem When your spec is detailed on some axes but vague on others, Claude doesn't ask for clarification — it fills in the blanks. The result compiles, the tests pass, but it's not what you meant. This tool catches that before you start building. It scores y Capability contract not published. No trust telemetry is available yet. 2 GitHub stars reported by the source. Last updated 2/25/2026.
Freshness
Last checked 2/25/2026
Best For
spec-score-mcp is best for mcp, spec, score workflows where MCP compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, GITHUB MCP, runtime-metrics, public facts pack
Agent DossierGitHubSafety: 89/100
spec-score-mcp
Score your specs before feeding them to an LLM. MCP server with radar chart visualization. Spec Score MCP $1 Score your specs before Claude builds from them. **A balanced spec produces balanced code. An unbalanced spec produces creative fiction.** The problem When your spec is detailed on some axes but vague on others, Claude doesn't ask for clarification — it fills in the blanks. The result compiles, the tests pass, but it's not what you meant. This tool catches that before you start building. It scores y
MCPself-declared
Public facts
5
Change events
1
Artifacts
0
Freshness
Feb 25, 2026
Verifiededitorial-contentNo verified compatibility signals2 GitHub stars
Capability contract not published. No trust telemetry is available yet. 2 GitHub stars reported by the source. Last updated 2/25/2026.
2 GitHub starsTrust evidence available
Trust score
Unknown
Compatibility
MCP
Freshness
Feb 25, 2026
Vendor
Openpoem
Artifacts
0
Benchmarks
0
Last release
2.0.0
Executive Summary
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. 2 GitHub stars reported by the source. Last updated 2/25/2026.
Setup snapshot
git clone https://github.com/openpoem/spec-score-mcp.git- 1
Setup complexity is MEDIUM. Standard integration tests and API key provisioning are required before connecting this to production workloads.
- 2
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Evidence Ledger
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor (1)
Vendor
Openpoem
profilemedium
Compatibility (1)
Protocol compatibility
MCP
contractmedium
Adoption (1)
Adoption signal
2 GitHub stars
profilemedium
Security (1)
Handshake status
UNKNOWN
trustmedium
Integration (1)
Crawlable docs
6 indexed pages on the official domain
search_documentmedium
Release & Crawl Timeline
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Artifacts Archive
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
6
Snippets
0
Languages
typescript
Executable Examples
bash
npm i -g spec-score-mcp claude mcp add spec-score -- npx spec-score-mcp
text
/project:scan my-feature-spec.md
text
/project:compare blueprint.md implementation.md
text
UNBOUNDED 0.12 Tip: What does 'scoring' mean? What axes? What output?
text
ALMOST 0.67 Tip: What are the verdicts? What does the tool NOT do?
text
SHIP IT 0.84 Tip: Add testable criteria — what balance maps to which verdict?
Docs & README
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB MCP
Editorial quality
ready
Score your specs before feeding them to an LLM. MCP server with radar chart visualization. Spec Score MCP $1 Score your specs before Claude builds from them. **A balanced spec produces balanced code. An unbalanced spec produces creative fiction.** The problem When your spec is detailed on some axes but vague on others, Claude doesn't ask for clarification — it fills in the blanks. The result compiles, the tests pass, but it's not what you meant. This tool catches that before you start building. It scores y
Full README
Spec Score MCP
Score your specs before Claude builds from them.
A balanced spec produces balanced code. An unbalanced spec produces creative fiction.
The problem
When your spec is detailed on some axes but vague on others, Claude doesn't ask for clarification — it fills in the blanks. The result compiles, the tests pass, but it's not what you meant.
This tool catches that before you start building. It scores your spec on 4 axes, tells you which one is weakest, and gives you a concrete tip to fix it.
4 axes
| Axis | Question it answers | |---|---| | completeness | Can Claude understand the full scope of what to build? | | clarity | Is there only one way to interpret this spec? | | constraints | Does Claude know what NOT to build? | | specificity | Are there concrete, testable details? |
Each axis scores 0.0 to 1.0. The balance score measures how evenly the 4 axes are covered.
Balance matters more than individual scores. A spec scoring 0.50 on all 4 axes (balance: 0.97) will produce better output than one scoring 0.95 / 0.95 / 0.20 / 0.90 (balance: 0.58). Why? That one weak axis — constraints at 0.20 — is exactly where Claude will improvise. You described what to build in detail, but forgot to say what's out of scope. So Claude builds everything you asked for, plus features you didn't.
On the radar chart: an even diamond beats a sharp spike.
Verdicts
| Verdict | What it means | |---|---| | SHIP IT | Spec is ready — Claude knows what to build and what not to | | ALMOST | One axis needs a small fix before you start | | DRAFT | Multiple axes need work, but the structure is there | | VAGUE | Well-organized but too abstract to act on | | UNBOUNDED | Clear goal but no boundaries — Claude will over-build | | OVER-CONSTRAINED | Lots of rules but unclear what the actual goal is | | SKETCH | Starting point — needs detail on most axes |
Not SHIP IT yet? The tool tells you which axis is weakest and what to add. Fix that axis, re-score, repeat. Most specs reach SHIP IT in 2-3 rounds.
Install
npm i -g spec-score-mcp
claude mcp add spec-score -- npx spec-score-mcp
That's it. The 3 tools are now available in every Claude Code session.
Usage
Slash commands
Clone this repo to get the built-in slash commands:
/project:scan my-feature-spec.md
Reads the file, scores it, and writes a my-feature-spec.md.scored.md with scores, verdict, tip, and a radar chart.
/project:compare blueprint.md implementation.md
Scores both files and writes a compared.scored.md with side-by-side radar charts.
Direct tool use
The 3 MCP tools work in any Claude Code conversation:
| Tool | What it does |
|---|---|
| spec_score | Scores a spec on 4 axes, returns balance score and verdict |
| spec_visualize | Generates an SVG radar chart from scores |
| spec_compare | Side-by-side comparison of two scored specs |
Ask Claude: "Score this spec", "Show me the radar chart", or "Compare these two specs".
Example: from UNBOUNDED to SHIP IT
This tool scoring its own spec — four rounds, each fixing the weakest axis:
<p align="center"> <img src="docs/compare-before-after.jpg" alt="From UNBOUNDED to SHIP IT" width="1000" /> </p>Round 1: the idea
<img src="docs/round1-the-idea.jpg" alt="Round 1: UNBOUNDED (0.12)" width="480" />Build a spec scoring tool
UNBOUNDED 0.12 Tip: What does 'scoring' mean? What axes? What output?
One axis is high (clarity — the goal is clear), everything else is near zero. Claude would build... anything. A web app? A CLI? A VS Code extension? No way to know.
Round 2: add context
<img src="docs/round2-add-context.jpg" alt="Round 2: ALMOST (0.67)" width="480" />Build an MCP server that scores specs on 4 axes: completeness, clarity, constraints, specificity. Each axis is 0.0-1.0. Returns a balance score and verdict.
ALMOST 0.67 Tip: What are the verdicts? What does the tool NOT do?
Now Claude knows what to build. But constraints are still weak — it might add auto-fixing, CI integration, a database.
Round 3: add boundaries
<img src="docs/round3-add-boundaries.jpg" alt="Round 3: SHIP IT (0.84)" width="480" />Three tools: spec_score, spec_visualize, spec_compare. Non-goals: no auto-fixing, no CI integration, no storage.
SHIP IT 0.84 Tip: Add testable criteria — what balance maps to which verdict?
Crossed the threshold. Claude now knows what to build AND what not to build. Specificity is still the weakest axis.
Round 4: add testable details
<img src="docs/round4-ship-it.jpg" alt="Round 4: SHIP IT (0.95)" width="480" />Balance = 1 - sqrt(variance)/mean. SHIP IT > 0.75, ALMOST > 0.60, plus pattern-based verdicts. Node.js, MCP SDK, stdio transport.
SHIP IT 0.95 Spec is ready for implementation.
Four rounds: 0.12 → 0.67 → 0.84 → 0.95. Each round fixed exactly one thing.
The math
- Claude scores each axis (0.0 - 1.0)
- Normalize the vector:
v / ||v|| - Balance:
1 - sqrt(variance) / mean - Verdict: balance threshold + axis pattern matching
The scoring intelligence comes from Claude, not from the algorithm. The algorithm only measures balance.
Project structure
src/
mcp.ts # MCP server (3 tools)
score.ts # Scoring engine
visualize.ts # SVG radar charts
.claude/
commands/
scan.md # /project:scan command
compare.md # /project:compare command
OpenPoem — spec-score-mcp
MIT License.
© 2026 OpenPoem. [email protected]
Contract & API
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
MCP: self-declared
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
No positive guardrails captured.
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/mcp-openpoem-spec-score-mcp/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/mcp-openpoem-spec-score-mcp/contract"
curl -s "https://www.xpersona.co/api/v1/agents/mcp-openpoem-spec-score-mcp/trust"
Reliability & Benchmarks
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
Trust signals
Handshake
UNKNOWN
Confidence
unknown
Attempts 30d
unknown
Fallback rate
unknown
Runtime metrics
Observed P50
unknown
Observed P95
unknown
Rate limit
unknown
Estimated cost
unknown
Do not use if
Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.
Media & Demo
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
No screenshots, media assets, or demo links are available.
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Primary Source Commodities
Primary-source commodities data for AI agents — EIA, FRED, CFTC, USDA, USGS via x402 on Base.
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Machine Appendix
Contract JSON
{
"contractStatus": "missing",
"authModes": [],
"requires": [],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": null,
"outputSchemaRef": null,
"dataRegion": null,
"contractUpdatedAt": null,
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://www.xpersona.co/api/v1/agents/mcp-openpoem-spec-score-mcp/snapshot",
"contractUrl": "https://www.xpersona.co/api/v1/agents/mcp-openpoem-spec-score-mcp/contract",
"trustUrl": "https://www.xpersona.co/api/v1/agents/mcp-openpoem-spec-score-mcp/trust"
},
"curlExamples": [
"curl -s \"https://www.xpersona.co/api/v1/agents/mcp-openpoem-spec-score-mcp/snapshot\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/mcp-openpoem-spec-score-mcp/contract\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/mcp-openpoem-spec-score-mcp/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"MCP"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_MCP",
"generatedAt": "2026-10-09T17:55:06.730Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
"HTTP_429",
"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
"status": "unavailable",
"handshakeStatus": "UNKNOWN",
"verificationFreshnessHours": null,
"reputationScore": null,
"p95LatencyMs": null,
"successRate30d": null,
"fallbackRate": null,
"attempts30d": null,
"trustUpdatedAt": null,
"trustConfidence": "unknown",
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Capability Matrix
{
"rows": [
{
"key": "MCP",
"type": "protocol",
"support": "unknown",
"confidenceSource": "profile",
"notes": "Listed on profile"
},
{
"key": "mcp",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "spec",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "score",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "llm",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "ai",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "quality",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "radar-chart",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "model-context-protocol",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "cli",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
}
],
"flattenedTokens": "protocol:MCP|unknown|profile capability:mcp|supported|profile capability:spec|supported|profile capability:score|supported|profile capability:llm|supported|profile capability:ai|supported|profile capability:quality|supported|profile capability:radar-chart|supported|profile capability:model-context-protocol|supported|profile capability:cli|supported|profile"
}Facts JSON
[
{
"factKey": "docs_crawl",
"category": "integration",
"label": "Crawlable docs",
"value": "6 indexed pages on the official domain",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
},
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Openpoem",
"href": "https://github.com/openpoem/spec-score-mcp",
"sourceUrl": "https://github.com/openpoem/spec-score-mcp",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-02-25T03:10:31.249Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "MCP",
"href": "https://www.xpersona.co/api/v1/agents/mcp-openpoem-spec-score-mcp/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/mcp-openpoem-spec-score-mcp/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-02-25T03:10:31.249Z",
"isPublic": true
},
{
"factKey": "traction",
"category": "adoption",
"label": "Adoption signal",
"value": "2 GitHub stars",
"href": "https://github.com/openpoem/spec-score-mcp",
"sourceUrl": "https://github.com/openpoem/spec-score-mcp",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-02-25T03:10:31.249Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://www.xpersona.co/api/v1/agents/mcp-openpoem-spec-score-mcp/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/mcp-openpoem-spec-score-mcp/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Sign in to GitHub · GitHub",
"description": "Fresh crawlable documentation was indexed for the official domain.",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
}
]