# ossf_scorecard_trend_analyzer

As a CTO, analyze OSSF Scorecard trends for your top 10-50 dependencies to identify security regressions or deteriorating project health. Input GitHub repository names (owner/repo), get structured trend data including score deltas, check failures, and risk flags. Uses OSSF Scorecard API and GitHub Archive for historical context. Ideal for proactive dependency management and risk assessment.

Agent View of the PolicyLayer registry record for `ossf_scorecard_trend_analyzer`. HTML page: https://policylayer.com/tools/io-github-getgapup-gapup-mcp/ossf-scorecard-trend-analyzer

## Facts

- Tool: `ossf_scorecard_trend_analyzer`
- Server: Gapup Mcp (`https://mcp.gapup.io/mcp`) — https://policylayer.com/tools/io-github-getgapup-gapup-mcp.md
- Homepage: https://github.com/getgapup/gapup-mcp-public
- Risk category: Read (Low risk)
- Registry record: grade F, identity unverified
- Server auth posture: open
- Server rate-limited: no
- Parameters: 4 (1 required)
- Recommended policy verdict: Allowed

## Parameters

| Parameter | Type | Required | Description |
| --- | --- | --- | --- |
| `async` | boolean | no | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client ti |
| `lookbackDays` | number | no | Number of days to analyze trends for |
| `repositories` | array | yes | List of GitHub repositories in owner/repo format |
| `minScoreThreshold` | number | no | Minimum acceptable score to flag as risky |

Parameters from the server's own tool schema.

## Example call (MCP tools/call, JSON-RPC 2.0)

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "ossf_scorecard_trend_analyzer",
    "arguments": {
      "repositories": []
    }
  }
}
```

## Why ossf_scorecard_trend_analyzer is rated Low

This tool retrieves and analyzes publicly available security scorecard data for dependency repositories. It queries external APIs (OSSF Scorecard API, GitHub Archive) to gather historical metrics and present trend analysis. The output is informational only, used for risk assessment and reporting. No side effects, state changes, or irreversible actions are performed.

From the tool's own definition: "Tool performs analysis of OSSF Scorecard trends and retrieves structured trend data, score deltas, check failures, and historical context from OSSF Scorecard API and GitHub Archive. Key verbs: 'analyze', 'identify', 'get', 'assess'."

## Use case

AI agents call ossf_scorecard_trend_analyzer to retrieve information from Gapup Mcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

## Recommended policy (PolicyLayer)

Verdict: **Allowed**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches Gapup Mcp:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "ossf_scorecard_trend_analyzer": {}
  }
}
```

## Other tools on Gapup Mcp (270)

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- `competitor_moves` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/competitor-moves.md
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- …and 240 more: https://policylayer.com/tools/io-github-getgapup-gapup-mcp.md

## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

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Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=io-github-getgapup-gapup-mcp · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/io-github-getgapup-gapup-mcp