Fleet AI Security Posture Management (AI-SPM): client agents on each developer machine score their AI coding agents'...
Copy the install, test the workflow, then decide if it earns a permanent slot.
The signal is softer here. Treat it like a pattern source unless it solves a very specific gap.
Copy the install, test the workflow, then decide if it earns a permanent slot.
Reasonable to try, but it will take more than a quick skim to get real signal.
GitHub health unknown. no security policy. 0 open issues make this testable, but not something to trust blind.
AI Agent
Multiple
Model
Claude
Fastest way to find out if sigil belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
git clone https://github.com/Ju571nK/sigil ~/.claude/agents/sigilRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf ~/.claude/agents/sigilNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ agents/ │ └─ sigil/ ← installs here └─ settings.json
Fleet AI Security Posture Management (AI-SPM): client agents on each developer machine score their AI coding agents' guard surfaces (Claude Code, Cursor, Codex, Gemini CLI — permissions, hooks, sandboxes, mcp.json) and ship hash-anchored events to a central server + your SIEM. Fleet-wide posture; measures, doesn't block. Rust.
Source: GitHub repository
Source check: No source check recorded
Repository state: Not marked archived
Honeystax upvotes are community interest signals, not star ratings. GitHub stars and repository health are source measurements; editorial risk and trial-cost notes are Honeystax analysis.