# io.github.farssaadeldin7-ux/generative-digital-twin (mcpb · generative-digital-twin.mcpb)

Build a governed style profile from your own past work so a generative apprentice produces...

- Trust score: 43/100 (low)
- Change this week: +4
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-11-05

## Components

- mcpb · `generative-digital-twin.mcpb`: 43/100 (this document), [markdown](https://verifymcp.io/servers/farssaadeldin7-ux-generative-digital-twin/generative-digital-twin.md), [page](https://verifymcp.io/servers/farssaadeldin7-ux-generative-digital-twin/generative-digital-twin)

## Channel facts

- Registry: `mcpb`
- Package: `https://github.com/farssaadeldin7-ux/claude-plugin-suite/releases/download/mcpb-v0.1.3/generative-digital-twin.mcpb`
- Version: `0.1.3`
- Transport: `stdio`
- SHA-256: `96e6c7569eb23e88a6e5e27855a1018ca4ec273c0cda7ac2e600cacd2a217525`

## Trust breakdown

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. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-11-05.

- **Supply Chain Security**: 0/100
  - No malware scan is available for this kind of package: the supply-chain vendors we use do not cover it. This is a permanent gap in our coverage, not a finding about the package.
  - Known CVEs could not be checked: we found no dependency list to check in this bundle: either it runs a compiled binary, whose bundled manifests we do not read, or none of the package.json, requirements.txt, pyproject.toml or uv.lock files it ships for its runtime declares a dependency we can read (a requirements.txt that only points at a setup.py project, a local path, or a nested requirements file we cannot follow counts as none).
  - Install-script risk not yet assessed.
  - Dependency health could not be checked: we found no dependency list to check in this bundle: either it runs a compiled binary, whose bundled manifests we do not read, or none of the package.json, requirements.txt, pyproject.toml or uv.lock files it ships for its runtime declares a dependency we can read (a requirements.txt that only points at a setup.py project, a local path, or a nested requirements file we cannot follow counts as none).
- **Provenance & Transparency**: 32/100
  - Source repository is publicly reachable at the declared URL.
  - Provenance check failed: no build-provenance attestation is published.
  - License check failed: no license is declared.
  - Actively maintained (last published 15 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 82/100
  - 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).
  - AI-judged instruction clarity (good).
  - Context-footprint check failed: tool/resource definitions use about 1703 tokens (~113/item across 15 items; 15 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 50/100
  - Stability observed for 15 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 96/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 89% of tool parameters carry a description.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 15 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 16 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 20/100
  - Spec-recency check failed: implements MCP spec 2024-11-05; the latest is 2026-07-28.

**Unverified: 1 category.** A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.

## Install

### How do I install the io.github.farssaadeldin7-ux/generative-digital-twin MCP server?

io.github.farssaadeldin7-ux/generative-digital-twin ships as an MCPB bundle, a single file you download and open in an MCP host that supports MCPB bundles, such as Claude Desktop. The host reads the launch command from the bundle's own manifest, so there is no command to copy. Before opening it, check the file's SHA-256 matches the one the MCP registry declares for it, 96e6c7569eb23e88a6e5e27855a1018ca4ec273c0cda7ac2e600cacd2a217525; the commands to do that are on this page. If it does not match, do not open it.

- Download bundle: `https://github.com/farssaadeldin7-ux/claude-plugin-suite/releases/download/mcpb-v0.1.3/generative-digital-twin.mcpb`
- SHA-256: `96e6c7569eb23e88a6e5e27855a1018ca4ec273c0cda7ac2e600cacd2a217525`

### Verify on macOS / Linux

```bash
echo "96e6c7569eb23e88a6e5e27855a1018ca4ec273c0cda7ac2e600cacd2a217525  generative-digital-twin.mcpb" | shasum -a 256 -c
```

### Verify on Windows (PowerShell)

```powershell
(Get-FileHash -Algorithm SHA256 .\generative-digital-twin.mcpb).Hash -eq "96e6c7569eb23e88a6e5e27855a1018ca4ec273c0cda7ac2e600cacd2a217525"
```

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-11-05 (score 43, +1)

No change was recorded against any check on this day. Stability & Change Management went from 47 to 50. That category is still filling its 30-day observation window: 14 days of observed history at the previous scan, 15 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-11-03 (score 42, +1)

No change was recorded against any check on this day. Stability & Change Management went from 40 to 43. That category is still filling its 30-day observation window: 12 days of observed history at the previous scan, 13 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-11-01 (score 41, +1)

No change was recorded against any check on this day. Stability & Change Management went from 33 to 37. That category is still filling its 30-day observation window: 10 days of observed history at the previous scan, 11 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-30 (score 40, +1)

No change was recorded against any check on this day. Stability & Change Management went from 27 to 30. That category is still filling its 30-day observation window: 8 days of observed history at the previous scan, 9 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-29 (score 39, +3)

- [functional improvement] Stability: unverified → 0.27

### 2026-10-21 (score 36)

First indexed and scored.

## MCP tools (15)

### `style_dimensions` (~92 tokens)

The style dimension taxonomy: what to measure, how to extract it from a corpus, and what a checkable entry looks like, for visual, written and motion work — plus extraction order, weighting method and the dimensions that usually turn out to be brief-driven. Reference data only; it extracts nothing.

Input parameters:

- `medium` (string): Optional: "visual", "written" or "motion". Omit for all three.

### `curation_rules` (~83 tokens)

The corpus curation rules: size bands and what happens outside them, inclusion and exclusion rules, the brand-guidelines test, the labelling schema, the rights checklist, and a worked 20-piece curation with what was excluded and why. Reference data only.

Input parameters:

- `include_worked_example` (boolean): Include the full worked 20-piece example. Default false.

### `governance_reference` (~89 tokens)

The scoring and governance reference: the 0-4 scale, the hard-fail rule, how to read the weighted mean, the baseline rule, the re-audit protocol with its flag thresholds, the drift diagnosis table, the profile document structure, the never-list and preamble targets, and the disclosure and governance checklists. Reference data only; score_draft and drift_audit apply the arithmetic.

### `corpus_check` (~96 tokens)

Mechanical checks on a labelled corpus list: size band, schema violations, missing near-miss notes, heavy-constraint pieces without a "contributes" list, date spread, duplicates. Facts with the rule each is counted against — it does not read the work, and it cannot verify ownership. Requires a paid plan.

Input parameters:

- `pieces` (array, required): The labelled corpus, one object per piece using the labelling schema from curation_rules.

### `score_draft` (~91 tokens)

The arithmetic of the scoring pass, on per-dimension scores already assigned by the reviewer: weighted mean, the reading band, the two weakest dimensions, and the hard-fail rule — any 0 is a reject reported before the mean, never averaged away. It does not look at the draft and assigns no scores itself. Requires a paid plan.

Input parameters:

- `scores` (array, required): One entry per profile dimension.

### `drift_audit` (~132 tokens)

The re-audit comparison: per-dimension sample means against the recorded baseline, flagged by the two stated thresholds (mean fallen 1.0 or more; 40% or more of samples at 2 or below), plus never-breach counting and the diagnosis table. Scoring the samples is the reviewer's job first — this only compares. Requires a paid plan.

Input parameters:

- `dimensions` (array, required)
- `never_breaches` (array): Optional: never-list breaches found in the sample.
- `profile_id` (string): Optional: a stored profile whose baseline supplies baseline_mean where not given inline.

### `save_profile` (~349 tokens)

Create or update a style profile in the local store: scope, never list, dimensions, anchors, boundary, provenance, baseline means and preamble, with a version and an automatic dated changelog. Returns the countable facts about it — never-list and anchor counts against target, entries with no number or prohibition, preamble word budget and any never entries missing verbatim from it. Facts, not verdicts. Requires a paid plan; the licence check is the only thing this tool sends anywhere.

Input parameters:

- `anchors` (array): The three to five pieces that best represent the profile.
- `baseline` (object): Per-dimension baseline means from scoring three corpus pieces, e.g. {"palette_discipline": 3.7}.
- `boundary` (array): The near-misses, each with a sentence on what is wrong.
- `change_note` (string): One line for the changelog on what changed and why.
- `dimensions` (array)
- `name` (string): Whose profile this is, e.g. a studio or director name.
- `never_list` (array): Imperative prohibitions with observable triggers. Target 12-20.
- `preamble` (string): The derived prompt preamble, 300-600 words, never list first and verbatim.
- `profile_id` (string): Omit to create; supply to update. Fields not supplied are kept.
- `provenance` (object): Corpus size, date range, ownership confirmed, date built.
- `scope` (string): Which media and which briefs the profile covers, and the agreed disclosure position.
- `version` (string, required): Required — a profile without a version cannot be audited for drift.

### `get_profile` (~55 tokens)

Read a stored style profile and the countable facts about it, or list the profiles in the local store when no id is given. Requires a paid plan.

Input parameters:

- `profile_id` (string): Omit to list all stored profiles.

### `apprentice_brief` (~136 tokens)

Compile a stored style profile into a governed work order for an apprentice task — repetitive execution, alternative variations of a current project, or background fill. The profile's never list becomes the hard constraints, its anchors the exemplars, its dimension entries the measurable requirements, all quoted verbatim, plus the standing rule that the output is scored with apprentice_check before delivery. It compiles the order; producing the work is the apprentice's job in the skill, and nothing in the order is invented. Requires a paid plan.

Input parameters:

- `profile_id` (string, required): The stored profile to compile the work order from.
- `task` (object, required)

### `apprentice_check` (~176 tokens)

The delivery gate for apprentice output: run the score_draft arithmetic against the same stored profile the work order was compiled from, and return pass or fail per the profile's hard-fail and band rules, with the weakest dimensions named. A never-list breach or a weighted mean under 2.8 does not clear the gate, and output that does not clear it is not delivered. Weights default to the profile's own dimension weights, and a 0 must quote the profile's never entry verbatim. Assigning the 0-4 scores is still the reviewer's judgement — this only does the arithmetic and reads the verdict. Requires a paid plan.

Input parameters:

- `profile_id` (string, required): The stored profile the apprentice was briefed from.
- `scores` (array, required): One entry per profile dimension, scored against the apprentice's output.

### `license_status` (~51 tokens)

Check the Generative Digital Twin licence on this machine: plan, included capabilities, remaining quota and seat usage. Call this when a paid tool reports a licence problem, or when the user asks what their plan includes.

### `license_activate` (~68 tokens)

Store and activate a Generative Digital Twin licence key on this machine. Use when the user pastes a licence key, or after a purchase completes.

Input parameters:

- `license_key` (string, required): The licence key, e.g. PS-XXX-00000-00000-00000-0000

### `start_checkout` (~75 tokens)

Begin a Generative Digital Twin purchase. Returns a Stripe Checkout link. Call list_plans first if the user has not chosen a plan.

Input parameters:

- `email` (string): Email address for the receipt and licence.
- `plan` (string, required): Plan id: "pro" or "team". Use list_plans to see the options.

### `list_plans` (~25 tokens)

List the available Generative Digital Twin plans, prices and what each one includes.

### `billing_portal` (~31 tokens)

Open the Stripe billing portal to change plan, update the card, or cancel the Generative Digital Twin subscription.

## Diagnostics

Captured diagnostic sections: Provenance. The full working is on the page: https://verifymcp.io/servers/farssaadeldin7-ux-generative-digital-twin/generative-digital-twin#diagnostics

## Score history

- 2026-11-05: 43
- 2026-11-04: 42
- 2026-11-03: 42
- 2026-11-02: 41
- 2026-11-01: 41
- 2026-10-31: 40
- 2026-10-30: 40
- 2026-10-29: 39
- 2026-10-28: 36
- 2026-10-27: 36
- 2026-10-26: 36
- 2026-10-25: 36
- 2026-10-24: 36
- 2026-10-23: 36
- 2026-10-22: 36
- 2026-10-21: 36

## Common questions

### What is the io.github.farssaadeldin7-ux/generative-digital-twin MCP server?

io.github.farssaadeldin7-ux/generative-digital-twin is an MCP server listed in the public MCP registry as io.github.farssaadeldin7-ux/generative-digital-twin. Build a governed style profile from your own past work so a generative apprentice produces... This page covers its MCPB bundle (https://github.com/farssaadeldin7-ux/claude-plugin-suite/releases/download/mcpb-v0.1.3/generative-digital-twin.mcpb).

### Is the io.github.farssaadeldin7-ux/generative-digital-twin MCP server safe to use?

io.github.farssaadeldin7-ux/generative-digital-twin scores 43 out of 100 on VerifyMCP. 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 io.github.farssaadeldin7-ux/generative-digital-twin MCP server expose?

io.github.farssaadeldin7-ux/generative-digital-twin exposes 15 tools: style_dimensions, curation_rules, governance_reference, corpus_check, score_draft, and 10 more. Their descriptions and schemas cost roughly 1,549 tokens of context every time the server is loaded.

## Links

- Repository: https://github.com/farssaadeldin7-ux/claude-plugin-suite
- Changelog RSS feed: https://verifymcp.io/servers/farssaadeldin7-ux-generative-digital-twin/generative-digital-twin.xml
- Changelog JSON feed: https://verifymcp.io/servers/farssaadeldin7-ux-generative-digital-twin/generative-digital-twin.json
- HTML version of this page: https://verifymcp.io/servers/farssaadeldin7-ux-generative-digital-twin/generative-digital-twin