Agentforce architecture analyzer

Prerequisites: a Salesforce org with an Agentforce agent to document (authenticate with `sf org login web --alias <alias>`); the sf CLI (>=2.136.8); Python 3.10+ Install "Agentforce architecture analyzer" for me. It gives the agent @forcedotcom's pipeline to snapshot one Agentforce agent's declared architecture: resolve the bot and planner, fan out 6 parallel Tooling SOQL channels from the planner id, expand discovered flow/apex/prompt references, merge everything into a normalized metadata tree JSON, and render a human-readable architecture document with an embedded Mermaid invocation graph (deterministic, inline, no subagent). Repository: https://github.com/forcedotcom/sf-skills/blob/main/skills/agentforce-architecture-analyze/SKILL.md 1. Fetch the SKILL.md file (and any helper files) from the repository path into a temporary folder and summarize what it does in one or two sentences. 2. Safety check: review the SKILL.md and scripts for anything suspicious (unexpected network calls, shell commands, credential harvesting). This repo should contain zero secrets in code, credentials only via the secure vault, allowed hosts declared in the SKILL.md. Verify that holds here; STOP on any red flag and tell me. 3. Install it as a skill: copy SKILL.md and its helper files into the agent's skills directory, in a folder named "agentforce-architecture-analyze". 4. Verify with no network calls: frontmatter valid, files in place. 5. Report what was installed, where, and what I still need to do myself (e.g. authenticate the sf CLI against my org and pass --org <alias> --agent <api_name> when invoking). GitHub is optional: if I have a GitHub account or the gh CLI, you may use it; otherwise public access is fine. Never require it unless it's in the prerequisites above. Rules: don't touch anything outside the temp folder and the install target. If anything looks off, stop and ask me.