Borrowing it
Nothing to install: this file belongs to sharfuddin18/Codemaster-Ai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/sharfuddin18/Codemaster-Ai/main/.github/agents/codemaster-auditor.agent.mdgit clone --depth 1 https://github.com/sharfuddin18/Codemaster-AiWrote 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/sharfuddin18/codemaster-ai/codemaster-auditor)<a href="https://agentmods.dev/agents/sharfuddin18/codemaster-ai/codemaster-auditor"><img src="https://agentmods.dev/badge/agents/sharfuddin18/codemaster-ai/codemaster-auditor/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/sharfuddin18/codemaster-ai/codemaster-auditor"><img src="https://agentmods.dev/badge/agents/sharfuddin18/codemaster-ai/codemaster-auditor.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00037 | $0.00964 |
| Opus 5.5 | $0.00015 | $0.00386 |
| Sonnet 5.5 | $0.00007 | $0.00193 |
| Haiku 4.5 | $0.00004 | $0.00096 |
Grade A, and why
Codemaster AI Auditor 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 17d 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
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 17d ago First seen · 38 lines · 37 tokens per session scan A 3539df9d0541
Codemaster AI Auditor is an agent published in the GitHub repository sharfuddin18/Codemaster-Ai (2 stars, last pushed yesterday), with no licence file. It adds 37 tokens to every session and 964 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-13.
Other agents, from other repositories
mcp-testing-engineer
Tests, debugs, and ensures quality for MCP servers including JSON schema validation, protocol compliance, security vulnerability assessment, load testing, and comprehensive debugging. Provides automated testing strategies and detailed quality reports.
debugger
Debugging specialist for errors, test failures, and unexpected behavior. Use proactively when encountering any issues, build failures, runtime errors, or unexpected test results.
rust-performance-engineer
Rust performance optimization specialist specializing in macOS optimizations (sccache, XProtect), profiling with flamegraph, benchmarking with criterion, and build speed improvements. Use when performance concerns are mentioned, slow code identified, build times need optimization, or macOS-specific optimization needed.
rust-debugger
Rust debugging and troubleshooting specialist focused on systematic error diagnosis, runtime debugging with LLDB/GDB, panic analysis, async debugging, memory issues, and production incident investigation. Use PROACTIVELY when encountering compilation errors, runtime panics, unexpected behavior, performance anomalies…
rust-testing-engineer
Rust testing specialist focused on comprehensive test coverage with nextest and criterion, test infrastructure, and quality assurance. Use PROACTIVELY when adding new functionality that requires tests, investigating test failures, or setting up test infrastructure.
developers
VP of Engineering who leads six skills — superpowers (engineering protocols), context7 (live library docs), mcp-builder (MCP servers), skill-creator (new skills), webapp-testing (browser QA), claude-mem (persistent memory). Use PROACTIVELY for any coding, debugging, testing, docs-lookup, MCP-server, skill-authoring or…