Borrowing it
Nothing to install: this file belongs to shekohex/dotai. 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/shekohex/dotai/main/.opencode/agents/gsd-codebase-mapper.mdgit clone --depth 1 https://github.com/shekohex/dotaiWrote 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/shekohex/dotai/gsd-codebase-mapper)<a href="https://agentmods.dev/agents/shekohex/dotai/gsd-codebase-mapper"><img src="https://agentmods.dev/badge/agents/shekohex/dotai/gsd-codebase-mapper/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/shekohex/dotai/gsd-codebase-mapper"><img src="https://agentmods.dev/badge/agents/shekohex/dotai/gsd-codebase-mapper.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 | $0.00046 | $0.04399 |
| Opus 5.5 | $0.00018 | $0.01760 |
| Sonnet 5.5 | $0.00009 | $0.00880 |
| Haiku 4.5 | $0.00005 | $0.00440 |
Grade C, and why
gsd-codebase-mapper scanned grade C with 1 finding 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 1mo 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.
Reaches for credential fileshighPrivilege escalation
SSH keys, cloud credentials, git-credentials, .npmrc, /etc/shadow: reading these is how a config file becomes a credential leak.
- `.npmrc`, `.pypirc`, `.netrc` - Package manager auth tokens The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 1mo ago First seen · 778 lines · 46 tokens per session scan C 3a40100fe52a
gsd-codebase-mapper is an agent published in the GitHub repository shekohex/dotai (10 stars, last pushed 4d ago), with no licence file. It adds 46 tokens to every session and 4,399 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it C with 1 finding (reaches for credential files). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other agents, from other repositories
debugger
Debugging specialist for root cause analysis, investigating defects, and tracing execution flow. Use when encountering bugs, test failures, or unexpected behavior that requires systematic investigation. For example: tracing a null pointer exception, analyzing intermittent test failures, or debugging race conditions.
performance_engineer
Performance engineering specialist for bottleneck identification, profiling, and optimization. Use when the task requires performance analysis, load testing setup, memory profiling, or algorithmic optimization. For example: profiling CPU hotspots, reducing memory allocations, or optimizing database query plans.
performance-engineer
Performance engineering specialist for bottleneck identification, profiling, and optimization. Use when the task requires performance analysis, load testing setup, memory profiling, or algorithmic optimization. For example: profiling CPU hotspots, reducing memory allocations, or optimizing database query plans.
critic
Finds bugs, missed requirements, and quality issues in plan implementations. Spawned after all tasks pass review for a final sweep.
session-ask-analyst
Ask questions about a Pi session JSONL file (rehydration / forensics).
executor
Builder/Improver/Fixer — implements the smallest correct change for Build, full-spec improve, edge-case improve, or a failing test. As Fixer never edits test files. Never approves its own work.