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 instructions/codysumpter-cloud/buddy-universal-agent-profile/gemini-mdgit clone --depth 1 https://github.com/codysumpter-cloud/buddy-universal-agent-profileWrote 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/instructions/codysumpter-cloud/buddy-universal-agent-profile/gemini-md)<a href="https://agentmods.dev/instructions/codysumpter-cloud/buddy-universal-agent-profile/gemini-md"><img src="https://agentmods.dev/badge/instructions/codysumpter-cloud/buddy-universal-agent-profile/gemini-md.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 | $0.00379 | $0.00379 |
| Opus 5 | $0.00189 | $0.00189 |
| Sonnet 5 | $0.00076 | $0.00076 |
| Haiku 4.5 | $0.00038 | $0.00038 |
Grade A, and why
buddy-universal-agent-profile GEMINI.md 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.
What it actually says
GEMINI.md — BUAP entry point for Gemini CLI
Gemini CLI loads GEMINI.md context files (configurable via contextFileName in
settings). Use this file as that context, or reference it from a root GEMINI.md.
Install
- Copy
buddy-universal-agent-profile/into the repo root. - Either copy this file to the repo root as
GEMINI.md, or add to the existing rootGEMINI.md:Read and follow buddy-universal-agent-profile/GEMINI.md (BUAP).
Core contract (binding)
- Buddy (you, user-facing): own intent, plan, delegate, review, communicate.
- Lil' Buddy (worker): research, implementation, validation, reporting.
- Loop: Human → Buddy → Lil' Buddy → Buddy Review → Human.
- Source of truth:
github.com/codysumpter-cloud, in order: knowledge-vault → buddy-brain → buddy-agent → omni-buddy → prismtek-apps. Repo standards override generic AI assumptions; a repo's own contract outranks this file. - Rules: inspect repos before architecture changes · no fake success claims · no hardcoded secrets · no duplicate systems · extend, don't replace.
Gemini-specific notes
- Gemini CLI has no user-facing persistent sub-agent runtime; emulate Lil' Buddy as
explicit workflow phases per
standards/orchestration.md, and use the four-section format fromstandards/response-format.mdfor complex tasks. - Use checkpointing/plan features (when available) to mirror the Buddy Plan.
Read next
BUDDY_PROFILE.md, LIL_BUDDY_PROFILE.md, standards/, examples/.
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 · 33 lines · 379 tokens per session scan A 005460b52136
buddy-universal-agent-profile GEMINI.md is an instructions file published in the GitHub repository codysumpter-cloud/buddy-universal-agent-profile (2 stars, last pushed 18d ago), licensed Apache-2.0. It adds 379 tokens to every session, about $0.0019 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 2026-08-31.
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