# io.github.thegridwork/aiact (npm · gridwork-aiact)

Scan codebases for AI usage, classify risk, generate EU AI Act compliance reports.

- Trust score: 69/100 (medium)
- Change this week: +23
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- npm · `gridwork-aiact`: 69/100 (this document), [markdown](https://verifymcp.io/servers/thegridwork-aiact/gridwork-aiact.md), [page](https://verifymcp.io/servers/thegridwork-aiact/gridwork-aiact)

## Channel facts

- Registry: `npm`
- Package: `gridwork-aiact`
- Version: `1.0.0`
- Transport: `stdio`

## 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 2026-08-03.

- **Supply Chain Security**: 87/100
  - No malware found by supply-chain analysis.
  - Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree.
  - No install/post-install scripts declared.
  - Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree.
- **Provenance & Transparency**: 45/100
  - Source repository is publicly reachable at the declared URL.
  - Provenance check failed: no build-provenance attestation is published.
  - Clear OSI-approved license (MIT).
  - Actively maintained (last published 120 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 77/100
  - AI-judged instruction clarity (excellent).
  - Tool/resource definitions use about 348 tokens (~87/item across 4 items; 4 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 23/100
  - Stability observed for 7 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### Claude

```bash
claude mcp add thegridwork-aiact -- npx -y gridwork-aiact
```

### Codex

```bash
codex mcp add thegridwork-aiact -- npx -y gridwork-aiact
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "thegridwork-aiact": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "gridwork-aiact"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add thegridwork-aiact --command npx --arg -y --arg gridwork-aiact
```

### Hermes

```yaml
mcp_servers:
  thegridwork-aiact:
    command: "npx"
    args: ["-y", "gridwork-aiact"]
```

### Other

```json
{
  "mcpServers": {
    "thegridwork-aiact": {
      "command": "npx",
      "args": [
        "-y",
        "gridwork-aiact"
      ]
    }
  }
}
```

## 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.

### 2026-08-02 (score 69, +43)

- [security regression] Provenance: unverified → fail
- [security improvement] Install scripts: unverified → pass
- [security improvement] Known CVEs: unverified → partial
- [security improvement] Malware scan: unverified → pass
- [security] Stability: Stability not yet verified: we do not have a sandbox capture of the MCP schema this version of the package serves yet.
- [functional regression] Capabilities: pass → unverified
- [functional improvement] Schema quality: unverified → excellent
- [functional improvement] Stability: unverified → 0.20
- [functional improvement] License: unverified → pass
- [functional improvement] Dependency health: unverified → partial
- [functional improvement] Maintenance: unverified → pass
- [functional] Licence: MIT

### 2026-08-01 (score 26, +5)

- [security] Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window).
- [functional improvement] MCP protocol: unverified → pass

### 2026-07-31 (score 21, −25)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-27 (score 46)

First indexed and scored.

## MCP tools (4)

### `scan_project` (~112 tokens)

Scan a project directory for AI system usage and generate an EU AI Act compliance report. Detects LLM APIs (OpenAI, Anthropic, Google, Mistral, etc.), ML frameworks (PyTorch, TensorFlow, scikit-learn), computer vision, NLP, embeddings, and more. Classifies risk level and identifies compliance gaps against the August 2, 2026 deadline.

Input parameters:

- `format` (string): Output format
- `path` (string, required): Absolute path to the project directory to scan

### `quick_check` (~40 tokens)

Quick scan to count AI systems in a project without full compliance analysis. Faster than scan_project.

Input parameters:

- `path` (string, required): Absolute path to the project directory

### `generate_inventory` (~68 tokens)

Generate a formal EU AI Act inventory document for a project. Produces a structured inventory suitable for compliance records, covering all detected AI systems with risk classifications and documentation requirements.

Input parameters:

- `organization` (string): Organization name for the inventory header
- `path` (string, required): Absolute path to the project directory

### `classify_system` (~128 tokens)

Classify the EU AI Act risk level for a specific AI system based on its type and use case. Helps determine which obligations apply.

Input parameters:

- `makes_decisions_about_people` (boolean): Whether outputs affect decisions about individuals
- `processes_personal_data` (boolean): Whether the system processes personal data
- `system_name` (string, required): Name of the AI system (e.g., 'OpenAI GPT-4', 'Custom PyTorch model')
- `use_case` (string, required): Description of how the system is used
- `use_domain` (string): The domain where the AI system is deployed

## Diagnostics

Captured diagnostic sections: Provenance, Dependencies. The full working is on the page: https://verifymcp.io/servers/thegridwork-aiact/gridwork-aiact#diagnostics

## Score history

- 2026-08-03: 69
- 2026-08-02: 69
- 2026-08-01: 26
- 2026-07-31: 21
- 2026-07-30: 46
- 2026-07-28: 46
- 2026-07-27: 46

## Links

- npm package: https://www.npmjs.com/package/gridwork-aiact
- Socket report: https://socket.dev/npm/package/gridwork-aiact
- Repository: https://github.com/thegridwork/aiact
- Changelog RSS feed: https://verifymcp.io/servers/thegridwork-aiact/gridwork-aiact/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/thegridwork-aiact/gridwork-aiact/changelog.json
- HTML version of this page: https://verifymcp.io/servers/thegridwork-aiact/gridwork-aiact