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/mean-weasel/bullhorn/performance-analyzergit clone --depth 1 https://github.com/mean-weasel/bullhornWrote 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/mean-weasel/bullhorn/performance-analyzer)<a href="https://agentmods.dev/agents/mean-weasel/bullhorn/performance-analyzer"><img src="https://agentmods.dev/badge/agents/mean-weasel/bullhorn/performance-analyzer.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 | $0.00000 | $0.00870 |
| Opus 5 | $0.00000 | $0.00435 |
| Sonnet 5 | $0.00000 | $0.00174 |
| Haiku 4.5 | $0.00000 | $0.00087 |
Grade A, and why
performance-analyzer 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 4d 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 4d ago First seen · 92 lines · 0 tokens per session scan A 5a705d5ef5dc
performance-analyzer is an agent published in the GitHub repository mean-weasel/bullhorn (4 stars, last pushed 3mo ago), licensed AGPL-3.0. It costs nothing until one of its globs matches a file; then it loads 870 tokens. 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 2026-08-31.
Other agents, from other repositories
coder
Sonnet implementer for a well-scoped change — edits/tests to green; not architecture calls, asks if ambiguous.
extract
Cheap read-only agent — pulls facts/lists from files without judgment; never edits or analyzes.
issue-tracker
Issues and PRDs for this repo live as GitHub issues. Use the gh CLI for all operations.
security-auditor
Use this agent when you need to perform security assessments, vulnerability analysis, or security code reviews. Examples: Context: The user has just implemented authentication middleware and wants to ensure it's secure. user: 'I just added JWT authentication to my API. Can you review it for security issues?'…
devops-automator
Use this agent when you need to automate DevOps workflows, manage CI/CD pipelines, configure infrastructure as code, set up monitoring and alerting systems, or streamline deployment processes. Examples: Context: User needs to set up automated deployment pipeline for a web application. user: 'I need to create a CI/CD…
Demonstrate
Agent for demonstrating VS Code features.