Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/thejefflarson/soundcheck/hotspotsnpx skills add thejefflarson/soundcheck --skill hotspotsgit clone --depth 1 https://github.com/thejefflarson/soundcheckWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00061 | $0.00785 |
| Opus 5 | $0.00030 | $0.00392 |
| Sonnet 5 | $0.00012 | $0.00157 |
| Haiku 4.5 | $0.00006 | $0.00078 |
Grade A, and why
hotspots scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Hotspot Analysis (A06:2025)
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.*
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 89 lines · 61 tokens per session scan A 66f67c4347cf
hotspots is a skill published in the GitHub repository thejefflarson/soundcheck (20 stars, last pushed 1mo ago), licensed MIT. It adds 61 tokens to every session and 785 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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