Borrowing it
Nothing to install: this file belongs to bwarzecha/knowledge-server. 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/bwarzecha/knowledge-server/main/CLAUDE.mdgit clone --depth 1 https://github.com/bwarzecha/knowledge-serverWrote 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/bwarzecha/knowledge-server/claude-md)<a href="https://agentmods.dev/instructions/bwarzecha/knowledge-server/claude-md"><img src="https://agentmods.dev/badge/instructions/bwarzecha/knowledge-server/claude-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/bwarzecha/knowledge-server/claude-md"><img src="https://agentmods.dev/badge/instructions/bwarzecha/knowledge-server/claude-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 | $0.00375 | $0.00375 |
| Opus 5.5 | $0.00150 | $0.00150 |
| Sonnet 5.5 | $0.00075 | $0.00075 |
| Haiku 4.5 | $0.00038 | $0.00038 |
Grade A, and why
knowledge-server 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 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.
What it actually says
Development Tips
- Always source venv before running any command
Testing and Code Quality
Running Tests
Tests use a fast embedding model (sentence-transformers/all-MiniLM-L6-v2) for speed. Most tests that were previously slow should now complete quickly.
source venv/bin/activate
python -m pytest tests/ -v
Bedrock Tests
Tests that require AWS Bedrock (LLM calls) are marked with @pytest.mark.bedrock and are skipped by default to keep tests fast. To run them:
# Run only bedrock tests
python -m pytest tests/ -m bedrock -v
# Run all tests including bedrock
python -m pytest tests/ -m "not slow" -v
# Run everything (including bedrock and slow tests)
python -m pytest tests/ --tb=short
Test Environment Configuration
The project includes a .env.test file with optimized settings for testing:
- Fast embedding model:
sentence-transformers/all-MiniLM-L6-v2(22M parameters) - MPS device for fast GPU acceleration on Apple Silicon
- Reduced token limits for faster processing
If you need to test with production embedding models, temporarily modify the test files or use the main .env configuration.
Code Formatting
The project uses black (line length 100), isort, and flake8 for code formatting and linting:
source venv/bin/activate
black src/ tests/
isort src/ tests/
flake8 src/ tests/
Pre-commit Cleanup
Before committing, run the complete cleanup:
source venv/bin/activate
black src/ tests/
isort src/ tests/
python -m pytest tests/
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 · 54 lines · 375 tokens per session scan A b3c6e0fdce3e
knowledge-server CLAUDE.md is an instructions file published in the GitHub repository bwarzecha/knowledge-server (0 stars, last pushed 1y ago), licensed MIT. It adds 375 tokens to every session, about $0.0015 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.
knowledge-server CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| knowledge-server CLAUDE.mdbwarzecha/knowledge-server | Instructions file | 0 | 1y ago | MIT | A | 375 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
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| 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 |