Borrowing it
Nothing to install: this file belongs to oldantique/zotkit. 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/oldantique/zotkit/main/AGENTS.mdgit clone --depth 1 https://github.com/oldantique/zotkitWrote 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/oldantique/zotkit/agents-md)<a href="https://agentmods.dev/instructions/oldantique/zotkit/agents-md"><img src="https://agentmods.dev/badge/instructions/oldantique/zotkit/agents-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/oldantique/zotkit/agents-md"><img src="https://agentmods.dev/badge/instructions/oldantique/zotkit/agents-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 | $0.01786 | $0.01786 |
| Opus 5.5 | $0.00714 | $0.00714 |
| Sonnet 5.5 | $0.00357 | $0.00357 |
| Haiku 4.5 | $0.00179 | $0.00179 |
Grade A, and why
zotkit AGENTS.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 9d 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 — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Instructions for AI agents
You (an AI agent) were likely given this repo because your user wants you to manage their Zotero library with zotkit. Here is exactly how to proceed. (Developing zotkit itself instead? Read CLAUDE.md, not this file.)
1. Install
pipx install zotkit # or: uv tool install zotkit / pip install zotkit
Requires Python 3.11+. Works on macOS, Windows, Linux — no Zotero desktop app needed.
2. Configure (interactive — involve the user)
Create the credentials file from .env.example at ./.env,
~/.config/zotkit/env, or $ZOTKIT_ENV:
- Ask the user to create an API key (with write access) at https://www.zotero.org/settings/keys and tell you the key + the numeric userID shown on that page.
- If they sync attachment files via WebDAV, ask them to open the Zotero desktop app →
Settings → Sync → File Syncing and read you the WebDAV URL/username/password;
append
/zotero/to the URL. (If they use Zotero Storage, skip theWEBDAV_*lines entirely —attach/fetchautomatically use Zotero Storage instead.) - Never print, cat, echo, or commit the .env or any credential.
After writing the .env, run zotkit doctor — it validates config, API access, and
attachment storage, and says what to fix. Don't proceed until it prints "all good".
A "⚠ Zotero schema" line is a warning, not a failure: mention it to the user.
Optionally set up tag conventions from conventions.example.toml — do this WITH the user; read docs/organizing-with-agents.md first for the design principles (shallow single-axis collections, namespaced facet tags).
If the user asks you to clean up or reorganize their library — whether it's a mess or already organized — docs/organizing-with-agents.md is the complete playbook: design principles, the backup → read-only proposals → reviewed serial writes loop, and the audit checklist for second passes.
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.
- 9d ago Changed · +30 lines · +461 tokens per session 3c1821e43cef
- 27d ago Changed · +3 lines · +37 tokens per session 19d1823447f2
- 1mo ago Changed · +5 lines · +71 tokens per session d98ab4e64d36
- 2mo ago First seen · 89 lines · 1,217 tokens per session scan A e0e6604474c4
zotkit AGENTS.md is an instructions file published in the GitHub repository oldantique/zotkit (27 stars, last pushed 10d ago), licensed MIT. It adds 1,786 tokens to every session, about $0.0071 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 2026-08-30.
zotkit AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| zotkit AGENTS.mdoldantique/zotkit | Instructions file | 27 | 10d ago | MIT | A | 1,786 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | 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 |