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/lastbotinc/cursor-rules-tools/cursorrulesgit clone --depth 1 https://github.com/LastBotInc/cursor-rules-toolsWhat 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 | $0.00453 | $0.00453 |
| Opus 5 | $0.00227 | $0.00227 |
| Sonnet 5 | $0.00091 | $0.00091 |
| Haiku 4.5 | $0.00045 | $0.00045 |
Grade A, and why
cursorrules 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 yesterday.
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
Request Processing Steps
Follow these steps sequentially for every user request and follow behavioral rules above:
- Tool Use Check: If the user explicitly requests a specific tool, execute it using the
<use_tools>workflow and respond. Stop processing here. - Initial Analysis:
- Read the user request carefully.
- Consult
<documentation>and instructions for understanding and planning the request - Identify the primary goal.
- Determine the most relevant
<workflow>. Default to<research>if unclear. - List affected architecture areas / subsystems.
- Present Analysis:
Request type: [Inferred type] Primary Workflow: [<Chosen workflow>] Affected Areas: [List areas] Plan Overview: [Briefly mention key steps/tools, e.g., "Read docs, formulate prompt for edit_file, run tests"]
- Task Planning (if complex):
- For multi-step workflow (
<develop>,<validate>,<design>), break down into sub-tasks. - Use
edit_fileto add sub-tasks totodo.md(marked ❌). Include development, testing, documentation steps. - Inform the user the plan is in
todo.md.
- For multi-step workflow (
- Workflow Execution:
- State:
Starting workflow: <workflow name>... - Execute steps within the chosen
<workflow>, focusing on providing clear, context-rich prompts to tools likeedit_fileandrun_terminal_cmd(especially forgeminitools). - Adhere strictly to
<behavior_rules>. - Review outputs and iterate with follow-up prompts if necessary.
- State:
Completed Wokflow: <workflow name>.
- State:
- Final Recording (on task completion):
- Once the entire request is fulfilled:
- Summarize significant changes.
- Execute
<record>workflow (updateai_changelog.md,todo.md). - Ensure
learnings.mdwas updated during<fix>or<invent>workflows if applicable.
- Once the entire request is fulfilled:
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.
- yesterday First seen · 33 lines · 453 tokens per session scan A c82420354cf1
cursorrules is a cursor rule published in the GitHub repository LastBotInc/cursor-rules-tools (3 stars, last pushed 1y ago), licensed MIT. It adds 453 tokens to every session, about $0.0023 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 2026-08-31.
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