Borrowing it
Nothing to install: this file belongs to ishandutta2007/List-GitHub-Contributors. 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/ishandutta2007/List-GitHub-Contributors/main/GEMINI.mdgit clone --depth 1 https://github.com/ishandutta2007/List-GitHub-ContributorsWrote 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/ishandutta2007/list-github-contributors/gemini-md)<a href="https://agentmods.dev/instructions/ishandutta2007/list-github-contributors/gemini-md"><img src="https://agentmods.dev/badge/instructions/ishandutta2007/list-github-contributors/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/ishandutta2007/list-github-contributors/gemini-md"><img src="https://agentmods.dev/badge/instructions/ishandutta2007/list-github-contributors/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 | $0.00512 | $0.00512 |
| Opus 5.5 | $0.00205 | $0.00205 |
| Sonnet 5.5 | $0.00102 | $0.00102 |
| Haiku 4.5 | $0.00051 | $0.00051 |
Grade A, and why
List-GitHub-Contributors 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 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.
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 — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Overview
A utility to fetch and list contributors for multiple GitHub repositories using the GitHub REST API. Features both a CLI interface and a web-based UI with batch processing capabilities.
Tech Stack
- Backend: Python 3.11.4, FastAPI,
requests,python-dotenv - Frontend: Vanilla HTML, CSS, and JavaScript
- Server: Uvicorn
Architecture
fetch_github_contributors.py: Core logic for interacting with the GitHub API. Supports single and batch repository processing.app.py: FastAPI application serving the web UI and providing a batch-aware REST API endpoint.static/: Contains frontend assets for the batch UI..env: (Required) Stores theADMIN_TOKENfor authenticated requests.contributors.txt: (Generated) Cumulative list of GitHub usernames from the latest batch. Updated via append during processing.
Setup and Running
Prerequisites
- Python 3.11.4
- A GitHub Personal Access Token (PAT).
Installation
- Install dependencies:
pip install requests python-dotenv fastapi uvicorn - Configure environment variables:
- Copy
.env.exampleto.env. - Update
ADMIN_TOKENwith your GitHub PAT.
- Copy
Running the Web UI
- Start the server:
python app.py - Open your browser and navigate to
http://localhost:8000. - Enter repositories in
owner/repoformat (one per line). - Use the "Append to contributors.txt" toggle to control whether the file is overwritten or appended to.
Running the CLI
Run the script to process the default list of repositories:
# To overwrite contributors.txt
python fetch_github_contributors.py
# To append to contributors.txt
python fetch_github_contributors.py --append
Development Conventions
- Batch Processing: Both CLI and UI support processing multiple repositories in a single run.
- File Output: By default,
contributors.txtis cleared at the start of a run. If the append flag is active, results are added to the existing file. - UI Grouping: Results in the web UI are visually grouped by repository for clarity.
- Fallback Logic: Uses
DEFAULT_REPOSinfetch_github_contributors.pyif no input is provided.
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 · 55 lines · 512 tokens per session scan A 35c9038ae6fe
List-GitHub-Contributors GEMINI.md is an instructions file published in the GitHub repository ishandutta2007/List-GitHub-Contributors (5 stars, last pushed 4mo ago), licensed MIT. It adds 512 tokens to every session, about $0.0020 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 2026-10-02.
List-GitHub-Contributors GEMINI.md compared with instructions from other repositories
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|---|---|---|---|---|---|---|---|
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