io.github.thegridwork/aiact
NPM · GRIDWORK-AIACT · SCANNED AUG 3
Scan codebases for AI usage, classify risk, generate EU AI Act compliance reports.
Available components
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 →
Supply Chain Security87
- No malware found by supply-chain analysis.Pass
- Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree.Partial
- No install/post-install scripts declared.Pass
- Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 120 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability77
- AI-judged instruction clarity (excellent).Pass
- Tool/resource definitions use about 348 tokens (~87/item across 4 items; 4 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management23
- Stability observed for 7 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.
npm · gridwork-aiact
claude mcp add thegridwork-aiact -- npx -y gridwork-aiact
codex mcp add thegridwork-aiact -- npx -y gridwork-aiact
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"thegridwork-aiact": {
"type": "local",
"command": [
"npx",
"-y",
"gridwork-aiact"
],
"enabled": true
}
}
} openclaw mcp add thegridwork-aiact --command npx --arg -y --arg gridwork-aiact
mcp_servers:
thegridwork-aiact:
command: "npx"
args: ["-y", "gridwork-aiact"] {
"mcpServers": {
"thegridwork-aiact": {
"command": "npx",
"args": [
"-y",
"gridwork-aiact"
]
}
}
} 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.
- 2 Aug 26 +43
- Provenance: unverified → fail ▼ security
- Install scripts: unverified → pass ▲ security
- Known CVEs: unverified → partial ▲ security
- 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. security
- Capabilities: pass → unverified ▼ functional
- Schema quality: unverified → excellent ▲ functional
- Stability: unverified → 0.20 ▲ functional
- License: unverified → pass ▲ functional
- Dependency health: unverified → partial ▲ functional
- Maintenance: unverified → pass ▲ functional
- Licence: MIT functional
- 1 Aug 26 +5
- Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window). security
- MCP protocol: unverified → pass ▲ functional
- 31 Jul 26 −25
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 27 Jul 26 46
First indexed and scored.
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 3 Aug 2026 · Analysed npm/[email protected]
Provenance none
Ecosystem: npm · Outcome: none
Dependencies 95 packages
95 packages in the resolved dependency tree · 95 deprecated · 29 stale.
The dependency tree was only partially resolved, so these counts may be incomplete.
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.
classify_system ~128
Classify the EU AI Act risk level for a specific AI system based on its type and use case. Helps determine which obligations apply.
| Name | Type | Req | Description |
|---|---|---|---|
| makes_decisions_about_people | boolean | — | Whether outputs affect decisions about individuals |
| processes_personal_data | boolean | — | Whether the system processes personal data |
| system_name | string | yes | Name of the AI system (e.g., 'OpenAI GPT-4', 'Custom PyTorch model') |
| use_case | string | yes | Description of how the system is used |
| use_domain | string | — | The domain where the AI system is deployed |
No output schema declared.
No examples provided.
generate_inventory ~68
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.
| Name | Type | Req | Description |
|---|---|---|---|
| organization | string | — | Organization name for the inventory header |
| path | string | yes | Absolute path to the project directory |
No output schema declared.
No examples provided.
quick_check ~40
Quick scan to count AI systems in a project without full compliance analysis. Faster than scan_project.
| Name | Type | Req | Description |
|---|---|---|---|
| path | string | yes | Absolute path to the project directory |
No output schema declared.
No examples provided.
scan_project ~112
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.
| Name | Type | Req | Description |
|---|---|---|---|
| format | string | — | Output format |
| path | string | yes | Absolute path to the project directory to scan |
No output schema declared.
No examples provided.