Borrowing it
Nothing to install: this file belongs to KNI-PM-Szczecin/plan_pm. 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/KNI-PM-Szczecin/plan_pm/main/GEMINI.mdgit clone --depth 1 https://github.com/KNI-PM-Szczecin/plan_pmWrote 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/kni-pm-szczecin/plan_pm/gemini-md)<a href="https://agentmods.dev/instructions/kni-pm-szczecin/plan_pm/gemini-md"><img src="https://agentmods.dev/badge/instructions/kni-pm-szczecin/plan_pm/gemini-md/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/instructions/kni-pm-szczecin/plan_pm/gemini-md"><img src="https://agentmods.dev/badge/instructions/kni-pm-szczecin/plan_pm/gemini-md.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 | $0.00921 | $0.00921 |
| Opus 5.5 | $0.00368 | $0.00368 |
| Sonnet 5.5 | $0.00184 | $0.00184 |
| Haiku 4.5 | $0.00092 | $0.00092 |
Grade A, and why
plan_pm 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PM Schedule (Plan PM)
PM Schedule is an open-source mobile application providing students and lecturers of the Maritime University of Szczecin (Politechnika Morska w Szczecinie) with easy access to class schedules. It features a Flutter frontend and a Python backend data pipeline.
Project Overview
Frontend (Flutter)
- Target Platforms: Android, iOS.
- Tech Stack: Flutter (Dart), Supabase Client, SQLite (for local caching).
- State Management:
ValueNotifier+ValueListenableBuilder. - Key Features: Schedule viewing, news feed, native home screen widgets, multi-language support (PL, EN, UK).
Backend (Python)
- Tech Stack: Python 3.13+, BeautifulSoup4, Flask, Supabase (PostgreSQL + Storage).
- Data Pipeline:
Mapper → Scrapper → Parser → json2db. - Admin Tools: Local Flask admin panel for news and pipeline management; MCP server for agent-based control.
Building and Running
Frontend
- Setup:
cd frontend flutter pub get - Environment Configuration:
- Use
scripts/switch_env.py [test|prod]to configureenv_config.dart. - Ensure
lib/secrets.dartis present (copy fromsecrets_example.dartand fill keys).
- Use
- Run App:
flutter run - Localization:
flutter gen-l10n # Run after modifying .arb files
Backend
- Setup:
cd backend # Using uv (recommended) uv sync # OR using venv python -m venv .venv source .venv/bin/activate pip install -e . - Configuration:
- Create
.envbased on.env.example. - Set database mode via
scripts/switch_env.py [test|prod].
- Create
- Run Pipeline:
python main.py # Full schedule pipeline python -m json2db.json2db --input ./output/parser.json # Re-upload parser.json only - Admin Panel:
python -m admin.app # Access at http://localhost:5050 - MCP Server:
python -m mcp_server.server
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.
- 2mo ago First seen · 117 lines · 921 tokens per session scan A 0dd4e6fc6da4
plan_pm GEMINI.md is an instructions file published in the GitHub repository KNI-PM-Szczecin/plan_pm (11 stars, last pushed yesterday), licensed MIT. It adds 921 tokens to every session, about $0.0037 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 2026-08-31.
plan_pm GEMINI.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| plan_pm GEMINI.mdKNI-PM-Szczecin/plan_pm | Instructions file | 11 | yesterday | MIT | A | 921 | Gemini CLI |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |