Borrowing it
Nothing to install: this file belongs to UmairBaig8/okf-generator. 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/UmairBaig8/okf-generator/main/AGENTS.mdgit clone --depth 1 https://github.com/UmairBaig8/okf-generatorWrote 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/umairbaig8/okf-generator/agents-md)<a href="https://agentmods.dev/instructions/umairbaig8/okf-generator/agents-md"><img src="https://agentmods.dev/badge/instructions/umairbaig8/okf-generator/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/umairbaig8/okf-generator/agents-md"><img src="https://agentmods.dev/badge/instructions/umairbaig8/okf-generator/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 | $0.00713 | $0.00713 |
| Opus 5.5 | $0.00285 | $0.00285 |
| Sonnet 5.5 | $0.00143 | $0.00143 |
| Haiku 4.5 | $0.00071 | $0.00071 |
Grade A, and why
okf-generator 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 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 — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OKF Generator — Agent Instructions
CRITICAL RULE: Never grep source files first
BEFORE reading any source file, ALWAYS run:
okf lookup --bundle ./okf_bundle <ConceptName>
okf lookup returns the exact signature, parameters, docstring, dependencies, and callers in milliseconds. Grepping or reading source files directly is slower and gives you less information.
Quick Start
pip install -e ".[dev]" # editable install
pytest tests/ -q # 415 tests
Key Files
| File | Purpose |
|---|---|
okf/generator.py |
Core scanner & bundle writer |
okf/manifest.py |
SHA256 manifest model, change detection, rename handling |
okf/update.py |
Incremental update pipeline |
okf/watcher.py |
Watchdog file watcher for --watch mode |
okf/manifest_scanner.py |
Dependency/manifest parsers (20 formats) |
okf/lookup.py |
Concept search |
okf/diff.py |
Bundle comparison |
okf/pairs.py |
Training data generation |
okf/cli.py |
CLI entry point |
tests/ |
415 unit tests |
tests/fixtures/complex/ |
Multi-language test data (7 langs, 12 manifests) |
Lookup patterns
# Single concept (full detail: signature, params, docstring, calls, called-by)
okf lookup --bundle ./okf_bundle ClassName
# Filter by type
okf lookup --bundle ./okf_bundle --type Class
okf lookup --bundle ./okf_bundle --type Function
okf lookup --bundle ./okf_bundle --type Dependency
# Filter by language / ecosystem
okf lookup --bundle ./okf_bundle --tag lang:python
okf lookup --bundle ./okf_bundle --tag ecosystem:npm
# All concepts from one source file
okf lookup --bundle ./okf_bundle --file path/to/file.py
# Dependencies
okf lookup --bundle ./okf_bundle --type Dependency
okf lookup --bundle ./okf_bundle --type Dependency --tag ecosystem:pip
# JSON for programmatic use
okf lookup --bundle ./okf_bundle --json <Name>
Custom Commands
/lookup NAME=<name>—RUN okf lookup --bundle ./okf_bundle $NAME/test—RUN pytest tests/ -q/test-md—RUN TEST.md and produce OKF_TEST_REPORT.md
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 · 91 lines · 713 tokens per session scan A 8711bbb043a3
okf-generator AGENTS.md is an instructions file published in the GitHub repository UmairBaig8/okf-generator (110 stars, last pushed 2mo ago), licensed MIT. It adds 713 tokens to every session, about $0.0029 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).