$ca-threat-model — STRIDE pass (opt-in)
SkillSecurityOpt-in lightweight STRIDE pass for a sensitive feature before implementation. Not a routine gate — invoke it when a change warrants security thought.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the $ca-threat-model — STRIDE pass (opt-in) skill
What this skill tells your AI
The instructions your AI receives, as published by arbiterforge/codearbiter in plugins/ca-pi/skills/ca-threat-model/SKILL.md and read by ahel’s review.
Optional, lightweight pre-implementation security review for a sensitive change — new external endpoints, new secrets-handling paths, new auth/authz flows. Opt-in, not a routine gate: nothing routes here automatically. Invoke it when a change warrants the thought; skip it otherwise. Read-only — modifies no file. Describe what the component does, what data it handles, and which actors interact with it.
Routes to
security-architecture (routines/security-architecture/SKILL.md). The skill reads:
<project-root>/.codearbiter/security-controls.md— compliance requirements.<project-root>/.codearbiter/decisions/— existing security-relevant ADRs.
Output
## Scope
<what is being analyzed>
## STRIDE findings
| Threat | Category | Likelihood | Impact | Control |
|--------|-------------|------------|--------|------------------------------|
| ... | S/T/R/I/D/E | H/M/L | H/M/L | <control or NONE — needs one> |
## Recommended controls before implementation
- <control 1>
## Clearance
CLEAR TO IMPLEMENT | BLOCKED — resolve findings first
When NOT to use
- Reviewing already-written code →
$ca-review. - A full cross-cutting review →
$ca-checkpoint. - A security question →
$ca-btw.
Hard gate
Read-only — modifies no file. This is an advisory pass, not a routine gate; it never runs unless invoked.
Signals
- GitHub stars
- 144
- Forks
- 7
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
ca-threat-model- Source
- github.com/arbiterforge/codearbiter