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DecimalAI Skills Registry

PYPI · DECIMALAI-MCP

Search agent skills ranked by measured lift vs a no-skill baseline, with safety and rankings.

Available components

−15 this week 77 Trust /100

Last scanned (5 hours ago)

Scores higher than 75% of PyPI servers

Category AI and Machine Learning

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →

Supply Chain Security50
  • Malware scan not yet available for this package.Unverified
  • No known CVEs affecting this package version or its production dependencies.Pass
  • Runs hatchling.build at install time, a recognised build step with no custom scripting around it. View diagnostics → Pass
  • 0 of 28 dependencies flagged as unhealthy. View diagnostics → Pass
Provenance & Transparency100
  • Source repository is publicly reachable at the declared URL. View diagnostics → Pass
  • Cryptographically verified build provenance (signed, bound to decimal-labs/decimalai-mcp). View diagnostics → Pass
  • Clear OSI-approved license (MIT).Pass
  • Actively maintained (last published 20 days ago).Pass
  • Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability69
  • AI-judged instruction clarity (good).Pass
  • Context-footprint check failed: tool/resource definitions use about 463 tokens (~154/item across 3 items; 3 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
  • No destabilizing schema changes in the last 30 days.Pass
Tool Coverage71
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 0% of tool parameters carry a description.Fail
  • Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 3 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 4 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 5 Nov 26 −15
    • Malware scan: pass → unverified ▼ security
  • 1 Nov 26 +15
    • Malware scan: unverified → pass ▲ security
  • 31 Oct 26 0
    • Stability: 0.97 → pass security
  • 30 Oct 26 −15
    • Malware scan: pass → unverified ▼ security
    • Stability: pass → 0.97 functional
  • 24 Oct 26 0
    • Stability: 0.97 → pass security
  • 23 Oct 26 +15
    • Malware scan: unverified → pass ▲ security
    • Stability: pass → 0.97 functional
  • 22 Oct 26 −15
    • Malware scan: pass → unverified ▼ security
  • 17 Oct 26 0
    • Stability: 0.97 → pass security
Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 5 Nov 2026 · Analysed pypi/decimalai-mcp@0.1.3

Provenance Verified

A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.

Result Verified
Ecosystem pypi
Reason Verified
Discovered via Registry attestation endpoint
Source repo decimal-labs/decimalai-mcp
Certificate issuer https://token.actions.githubusercontent.com
Certificate SAN https://github.com/decimal-labs/decimalai-mcp/.github/workflows/publish.yml@refs/tags/v0.1.3
Rekor log index 2481818067
Predicate type PyPI publish attestation https://docs.pypi.org/attestations/publish/v1
Subject digest sha256:3b3222eae1129f5c9244dd804d9a840f473bde241e70c3f3f2b9cd0a4272eb76

Background: How many MCP packages publish verified provenance →

Install scripts 1 script
Hook Tier Command
build_backend allowlisted hatchling.build

Background: Why install scripts are a supply-chain risk →

Dependencies 28 packages
Packages resolved 28
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 3 exposed · ~397 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
get_leaderboard ~114

Ranked skills leaderboard. Args: sort: skill_score | biggest_improvement | efficiency | top_rated. category: Optional category filter (uses the registry's ranked browse view — the dedicated leaderboard endpoint is uncategorized). window_days: Ranking window in days (1-3650; ignored for skill_score). limit: Max entries (1-50).

NameTypeReqDescription
category–––
limitinteger––
sortstring––
window_daysinteger––
NameTypeReqDescription
resultstringyes–

No examples provided.

get_skill ~166

Get one skill's full record: trust/safety-scan status, verified benchmark evidence (lift vs no-skill baseline), SkillScore, ratings, and the SKILL.md body. Args: slug: The skill's `url_slug` from search results — NOT its `name`. A registry name may be namespaced (`owner/skill`), and a slash cannot survive a single URL path segment, so a namespaced name 404s here. `url_slug` is the slash-free identifier minted for exactly this (`owner/skill` -> `owner-skill`); for a plain un-namespaced name the two are identical. The skill's UUID `id` also works.

NameTypeReqDescription
slugstringyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

search_skills ~117

Search the public DecimalAI skills registry. Args: query: Keyword or natural-language query (hybrid keyword/semantic search). category: Optional category filter (e.g. "retrieval", "code-review"). sort: recommended (SkillScore v2, default) | lift | popular | top_rated | efficiency | rating | recent. limit: Max results (1-50).

NameTypeReqDescription
category–––
limitinteger––
querystringyes–
sortstring––
NameTypeReqDescription
resultstringyes–

No examples provided.

Install

How do I install the DecimalAI Skills Registry MCP server?

DecimalAI Skills Registry runs locally as a PyPI package, launched with uvx decimalai-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

pypi · decimalai-mcp

# add to Claude Code
claude mcp add ai-decimal-registry -- uvx decimalai-mcp
Common questions

What is the DecimalAI Skills Registry MCP server?

DecimalAI Skills Registry is an MCP server listed in the public MCP registry as ai.decimal/registry. Search agent skills ranked by measured lift vs a no-skill baseline, with safety and rankings. This page covers its PyPI package (decimalai-mcp).

Is the DecimalAI Skills Registry MCP server safe to use?

DecimalAI Skills Registry scores 77 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. Its build provenance is signed and verified. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the DecimalAI Skills Registry MCP server expose?

DecimalAI Skills Registry exposes 3 tools: search_skills, get_skill, get_leaderboard. Their descriptions and schemas cost roughly 397 tokens of context every time the server is loaded.

Is the DecimalAI Skills Registry MCP server still maintained?

DecimalAI Skills Registry is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

What licence is the DecimalAI Skills Registry MCP server under?

DecimalAI Skills Registry declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.