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/CLAUDE.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/claude-md)<a href="https://agentmods.dev/instructions/umairbaig8/okf-generator/claude-md"><img src="https://agentmods.dev/badge/instructions/umairbaig8/okf-generator/claude-md.svg" alt="Measured on agentmods" 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 | $0.00983 | $0.00983 |
| Opus 5 | $0.00491 | $0.00491 |
| Sonnet 5 | $0.00197 | $0.00197 |
| Haiku 4.5 | $0.00098 | $0.00098 |
Grade A, and why
okf-generator CLAUDE.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 — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OKF Generator
Generates OKF v0.2 knowledge bundles from codebases. 18 languages, 20 manifest formats, ~100× fewer tokens than raw source.
Quick commands
pip install -e ".[dev]" # editable install
pytest tests/ -q # 415 tests
okf generate ./src ./bundle # generate bundle
okf lookup <Name> # look up concept
okf enrich --lsp # LSP enrichment (needs pyright on $PATH)
Architecture
okf/
├── enrich/ # Enricher contract → LspEnricher + LlmEnricher
│ ├── base.py # Enricher ABC (start/run/stop), EnrichResult
│ ├── lsp.py # LspEnricher — hand-rolled LSP client over stdio
│ ├── llm.py # LlmEnricher — base/deep/security LLM modes
│ ├── _lsp_map.py # LSP server registry (pyright, gopls, rust-analyzer, typescript)
│ └── _llm_prompts.py
├── cli.py # 19 commands
├── generator.py # Core scanner + bundle writer
├── linker.py # Cross-reference pass (deps + call graph)
├── parsers/ # 18 language parsers
│ ├── base.py # Concept dataclass + TreeSitterParser ABC
│ └── python.js go java rust ruby c cpp csharp dart kotlin php scala julia swift sql yaml
├── domains/ # Domain classification engine
├── lsp.py # `okf lsp status|resolve|map` CLI
├── mcp_server.py # MCP server (stdio/HTTP)
├── visualize.py # HTML graph explorer (Cytoscape.js + tree-sitter WASM)
├── config.py # Config from .okfconfig + env
└── pairs.py # JSONL training pair generator
Enricher contract
class Enricher(ABC):
def start(self, bundle_dir, concepts) -> bool # prepare; return False to skip
def run(self, bundle_dir, concepts) -> EnrichResult # execute; never raise on partial failure
def stop(self) -> None # always safe to call
LspEnricher and LlmEnricher both implement this. Wrapped in try/finally by run_enrich().
LSP enrichment
okf enrich --lsp # LSP only
okf enrich --full # LSP + LLM deep (shortcut)
okf enrich --lsp --llm # LSP + LLM base
okf lsp status # table: which servers installed
okf lsp resolve file.py:42:5 # one-shot definition lookup
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 First seen · 95 lines · 983 tokens per session scan A 8ac29b6563c4
okf-generator CLAUDE.md is an instructions file published in the GitHub repository UmairBaig8/okf-generator (101 stars, last pushed 1mo ago), licensed MIT. It adds 983 tokens to every session, about $0.0049 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 2026-08-30.
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