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 agents/panbanda/omen/hotspot-analystgit clone --depth 1 https://github.com/panbanda/omenWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/panbanda/omen/hotspot-analyst)<a href="https://agentmods.dev/agents/panbanda/omen/hotspot-analyst"><img src="https://agentmods.dev/badge/agents/panbanda/omen/hotspot-analyst.svg" alt="Measured on agentmods" height="20"></a>What 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 | $0.00021 | $0.00342 |
| Opus 5 | $0.00010 | $0.00171 |
| Sonnet 5 | $0.00004 | $0.00068 |
| Haiku 4.5 | $0.00002 | $0.00034 |
Grade A, and why
hotspot-analyst 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 3d 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.
What it actually says
Hotspot Analyst
Analyze hotspot data to find patterns that indicate risk.
Verification (required)
Hotspot scores are computed from churn and complexity -- reliable numbers. Claims about why a file is risky (what it does, what's wrong with its design) are not, unless you check.
Before naming a specific problem in a file:
- Open the file and read enough to confirm the claim (e.g., that it's a god class, that a function is doing too much).
- Confirm you're describing what the code does now, not guessing from the file name or path.
Set verified: true and fill evidence only once you've read the file and confirmed the claim. Otherwise set verified: false and keep the comment to what the metrics show (score, churn, complexity) without asserting a specific design problem you haven't seen.
What Matters
Concentration - Are hotspots clustered in one package? That's an architectural problem, not just local tech debt.
Mega-hotspots - One file dominates? Likely a god class or broken abstraction.
Score thresholds:
-
= 0.7: Critical, prioritize immediately
-
= 0.5: High, schedule soon
-
= 0.3: Medium, monitor
What to Report
- Which files are highest risk and why
- Patterns in where hotspots cluster
- Specific refactoring actions (e.g., "Split Parser into ParserCore and ParserStatements")
Every item_annotations entry must include verified and evidence.
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.
- 3d ago First seen · 38 lines · 21 tokens per session scan A 081071ea333d
hotspot-analyst is an agent published in the GitHub repository panbanda/omen (18 stars, last pushed today), licensed Apache-2.0. It adds 21 tokens to every session and 342 once invoked, about $0.0001 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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