# P2Predict

> P2Predict — ahmed-khalil-hafsi-p2predict. Use this tool when you need to optimize engineering and procurement trade-offs with data-driven price benchmarking. P2Predict solves problems of uncertain cost estimates and inefficient resource allocation by providing parametric price analysis. It runs on your local machine, using your data as input and producing actionable benchmarks as output.

Canonical page: https://skillsregistry.net/skills/ahmed-khalil-hafsi-p2predict  
JSON: https://api.skillsregistry.net/v1/skills/ahmed-khalil-hafsi-p2predict

## Description

Parametric price benchmarking for engineering and procurement trade-offs. Agentic first, runs on your data, stays on your machine.

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/ahmed-khalil-hafsi/P2Predict)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ahmed-khalil-hafsi-p2predict"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ahmed-khalil-hafsi-p2predict` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ahmed-khalil-hafsi-p2predict/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt