transcreve-ai: Instructions file for Gemini CLI

GEMINI.md

transcreve-ai GEMINI.md is an instructions file for Gemini CLI from DeHor-Labs/transcreve-ai. It costs 527 tokens per session, scanned A, original, MIT.

A set of instructions for agents using TranscreveAI to analyze videos and media. It explains when to keep results temporary, when to save them, and how to hand them to another agent.

In plain words
What is it for?
Use it to run temporary or durable media-analysis workflows, create reusable dossiers, save generated knowledge files, update shared catalogs, and report run details to the calling agent.
Why use it?
It reduces confusion about where analysis files and indexes belong. It also helps avoid leaving raw test data in a user's permanent knowledge base.

Instructions file for Gemini CLI

Written for Gemini CLI: the file is GEMINI.md. Also seen: mentions AGENTS.md; mentions Gemini CLI.

This is DeHor-Labs/transcreve-ai's own configuration. It tells Gemini CLI how to work on transcreve-ai itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything transcreve-ai configures →

Reuse

Borrowing it

Nothing to install: this file belongs to DeHor-Labs/transcreve-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.

Copy the file
curl -O https://raw.githubusercontent.com/DeHor-Labs/transcreve-ai/main/GEMINI.md
Clone the repo
git clone --depth 1 https://github.com/DeHor-Labs/transcreve-ai

Made for: Gemini CLI.

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Per session 527 This file is loaded in full into every session.
When invoked 527 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00527 $0.00527
Opus 5 $0.00264 $0.00264
Sonnet 5 $0.00105 $0.00105
Haiku 4.5 $0.00053 $0.00053

Measured 10d ago against content hash 3b5db54c46fb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

transcreve-ai 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 10d 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.

GEMINI.md · 22 lines

How it starts

The opening of the file, as written. The whole thing — 22 lines — stays where its author put it; the contents beside it link to each section on GitHub.

TranscreveAI Agent Instructions

This file mirrors AGENTS.md for Gemini CLI, Google Antigravity, and Gemini-compatible agent integrations.

Required Nested Usage

  • Whenever an agent uses TranscreveAI, treat the execution as a nested workflow: keep run_id, out, and index-db identifiable for the calling agent.
  • Use temporary retention by default when the agent only needs to extract, summarize, or answer from YouTube, Reels, TikTok, local media, or similar sources. Use isolated --out/--index-db, read the generated artifacts, answer, and clean the raw run files.
  • Preserve artifacts or index in the user's real knowledge base only when the user asks to save, index, audit later, or reuse the dossier.
  • When durable retention is requested, run transcreveai share RUN_ID --json after analysis. If the run used an isolated index, pass the same --index-db or use transcreveai share --run-dir "$RUN_DIR" --json. The package includes handoff.md, manifest.json, knowledge.md, and analysis.json, and updates share-root catalog.json/index.md so another agent can discover and resume without loose paths.
  • If the dossier is preserved or indexed, explicitly tell the calling agent: O dossie que voce criou foi salvo para voce como conhecimento.
  • The preservation handoff must include the path to knowledge.md, the run_id, and whether the knowledge was saved in the user's real index or in an isolated agent index.
  • If the dossier was temporary and cleaned up, do not claim it was saved; report the run_id, that the answer was based on generated artifacts, and that temporary files were removed.

Operational Rules

  • For smoke tests, demos, and automated validation, prefer --index-db /tmp/... and --out /tmp/... so proof runs do not pollute the user's real index.
  • When the user asks to use TranscreveAI, base the answer on generated artifacts (knowledge.md, analysis.json, and template files when present), not on a manual parallel dossier.
  • For temporary runs, create a dedicated temp directory, use --out "$TMP/runs" and --index-db "$TMP/index.db", read the artifacts, then remove the temp directory.
  • Do not expose API keys, cookies, or complete sensitive URLs in logs or responses.
  • Keep IDE/agent instruction files synchronized with AGENTS.md.

Read the full file on GitHub · 22 lines

Changes

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.

  1. 10d ago First seen · 22 lines · 527 tokens per session scan A 3b5db54c46fb

Subscribe to this mod's changes

transcreve-ai GEMINI.md is an instructions file published in the GitHub repository DeHor-Labs/transcreve-ai (5 stars, last pushed today), licensed MIT. It adds 527 tokens to every session, about $0.0026 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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