# framecite

> framecite — daniissac-framecite. Use this tool when you need to troubleshoot network issues with payload-redacted PCAP files, as it provides deterministic packet citations without requiring Wireshark or TShark, and integrates with git for version control. It solves problems related to network packet analysis and debugging, accepting PCAP files as input and producing cited packet outputs. Ideal for use cases where local, secure, and efficient packet troubleshooting is necessary.

Canonical page: https://skillsregistry.net/skills/daniissac-framecite  
JSON: https://api.skillsregistry.net/v1/skills/daniissac-framecite

## Description

Local, payload-redacted PCAP troubleshooting over MCP with deterministic packet citations—no Wireshark or TShark required.

## Trust

- **Trust score (0–1):** 0.77
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/daniissac/framecite)

## 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": "daniissac-framecite"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/daniissac-framecite` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/daniissac-framecite/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