Security Hotspot Analysis (A06:2025)

SkillSecurity

Maps security-sensitive code locations in a codebase to focus review effort.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Security Hotspot Analysis (A06:2025) skill

What this skill tells your AI

The instructions your AI receives, as published by thejefflarson/soundcheck in .claude/skills/hotspots/SKILL.md and read by ahel’s review.

What this checks

Maps security-sensitive code so reviewers know where to focus. Missed hotspots mean entire attack surfaces go unreviewed.

Single source of truth: this skill delegates to the hotspot-mapping subagent in .claude/agents/hotspot-mapping.md. The subagent's JSON output is the canonical hotspot shape; this skill adds an architecture summary and renders the result as a priority table.

Vulnerable patterns

This skill does not target a single antipattern — the hotspot-mapping subagent identifies areas where vulnerabilities are statistically most likely (trust boundaries, auth/sessions, access control, data layer, crypto/secrets, external calls). See the agent's category taxonomy for the full list.

Procedure

Step 1 — Architecture summary. Read README*, ARCHITECTURE*, docs/, SECURITY*, and CONTRIBUTING*. Produce a 3-6 bullet summary: what the system does, major components, trust boundaries, auth model, data stores, external integrations. Without this framing the table below is just a list of files.

Step 2 — Dispatch the subagent. Use the Agent tool to dispatch one hotspot-mapping subagent. Pass it the architecture summary as context. The subagent returns a JSON array of hotspots, each with file, lines, name, category, priority, why.

Step 3 — Render. Display the architecture summary, then the hotspots as a Markdown priority table. Sort rows by priority (Critical → High → Medium), then by category, then by file. Do not show the raw JSON.

Report shape:

## Architecture summary

- <bullet 1>
- <bullet 2>
- ...

## Hotspots

| Priority | Category | File | Lines | What |
|----------|----------|------|-------|------|
| Critical | AUTH & SESSIONS | src/auth/oauth.py | 60-72 | reads redirect_uri from OAuth response without validating against the registered callback list |
| Critical | DATA LAYER | src/api/handlers/users.py | 42-58 | concatenates request.args['q'] into a raw SQL LIKE clause |
| ...

---

*Run the matching auto-invoking skill against each hotspot, or
launch `/security-review` for a full audit.*

Verification

  • One hotspot-mapping subagent was dispatched
  • Architecture summary precedes the table (3-6 bullets from the repo's own documentation)
  • Output table has Priority | Category | File | Lines | What columns
  • Rows are sorted by priority (Critical first)
  • At least one hotspot in each broad category present in the repo (auth, data layer, etc.) is represented — recall matters more than padding

References

Signals

GitHub stars
20
Last commit
Jul 2026
Advanced
Catalog kind
skill
Gateway key
hotspots-thejefflarson
Source
github.com/thejefflarson/soundcheck