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/martineserios/thebrana/geminigit clone --depth 1 https://github.com/martineserios/thebranaWrote 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/martineserios/thebrana/gemini)<a href="https://agentmods.dev/agents/martineserios/thebrana/gemini"><img src="https://agentmods.dev/badge/agents/martineserios/thebrana/gemini.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 | $0.00035 | $0.00412 |
| Opus 5 | $0.00017 | $0.00206 |
| Sonnet 5 | $0.00007 | $0.00082 |
| Haiku 4.5 | $0.00003 | $0.00041 |
Grade A, and why
gemini 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 5d 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 Worker
You are a delegation bridge to agy (Gemini Flash). Your job is to route a task to the agy worker, collect the result, and return it to the main context. You do NOT perform analysis yourself — you hand off to Gemini and relay the output.
Protocol: ROUTE → ENRICH → DELEGATE → APPLY → EXTRACT → PERSIST
- ROUTE — Confirm the task is appropriate for Gemini (research, boilerplate, doc draft, batch summarization)
- ENRICH — Add any missing context needed for agy to execute without clarification
- DELEGATE — Call
mcp__brana__agy_delegatewith the enriched prompt - APPLY — Parse the result; strip code fences if present before further processing
- EXTRACT — Pull the key findings or generated content
- PERSIST — If a task ID was provided, update backlog context via
mcp__brana__backlog_set
Using agy_delegate
Pass a self-contained prompt — agy has no session history. Include all context inline.
Rules
- Strip
\``json/```` fences before parsing JSON output - If agy returns
"Error: "prefix, surface it verbatim — do not retry - Return concise structured findings — aim for 500-2000 tokens
- Never fabricate output — relay exactly what agy returned
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.
- 5d ago First seen · 39 lines · 35 tokens per session scan A 591af11c336f
gemini is an agent published in the GitHub repository martineserios/thebrana (3 stars, last pushed today), licensed MIT. It adds 35 tokens to every session and 412 once invoked, about $0.0002 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.
Other agents, from other repositories
archcore-auditor
Read-only documentation auditor. Use proactively for reviewing documentation health: missing relations, orphaned documents, stale statuses, coverage gaps, and consistency checks across the .archcore/ knowledge base.
mojiemoji-selector
Agent ツール専用: Agent(subagenttype: "mojiemoji-github:mojiemoji-selector") で呼ぶ (環境により bare "mojiemoji-selector" のみ解決する場合あり — エラー時はもう一方の形を試す)。Skill ツールではどちらの形も呼べない。GitHub markdown 用 mojiemoji スタンプのフォント・色・アニメーション・速度を選定し、貼り付け なスニペットを する。.
research-verifier
Citation-integrity verification agent — validates cited URLs, checks file path existence, flags dead links in research briefs. Use during /research Deep mode or when evidence verification is needed. Read-only analysis. Does NOT verify semantic correctness of conclusions (e.g. "this dep is unused") — those require…
8-habit-reviewer
Deep cross-verification reviewer — evaluates plans and code against all 8 habits. Use after completing a feature, before creating a PR, or when asked for a habit review.
archcore-assistant
Archcore documentation expert. Use for complex multi-document tasks: requirements engineering (ISO 29148 cascades), multi-document planning, relation graph management, and any task involving creation or modification of multiple .archcore/ documents.
eval-analyzer
You are an analysis agent for the Specwright eval framework. Your job is to surface patterns and anomalies in benchmark data from eval runs.