Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add rules/steph-dove/klaussy-agents/scriptsgit clone --depth 1 https://github.com/steph-dove/klaussy-agentsWhat 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 | $0.00000 | $0.00220 |
| Opus 5 | $0.00000 | $0.00110 |
| Sonnet 5 | $0.00000 | $0.00044 |
| Haiku 4.5 | $0.00000 | $0.00022 |
Grade A, and why
scripts 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 2d 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
Conventions
- Context manager usage: Manage resource lifecycles using context managers (e.g., Use context managers for resource management. 37 with statements (23 sync, 14 async). Types: file_io (4), threading (2).).
Example context from
scripts/docs.py(lines 853-859):in_code_block4 = False permalinks = set() with path.open("r", encoding="utf-8") as f: lines = f.readlines() for line in lines: - Structured configuration with Pydantic Settings: Use Pydantic BaseSettings for configuration management.
Example context from
scripts/label_approved.py(lines 12-18):number: int default_config = {"approved-2": LabelSettings(await_label="awaiting-review", number=2)} class Settings(BaseSettings):
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.
- 2d ago First seen · 30 lines · 0 tokens per session scan A e9767564900d
scripts is a cursor rule published in the GitHub repository steph-dove/klaussy-agents (15 stars, last pushed 5d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 220 tokens. 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 cursor rules, from other repositories
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