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/plusplusoneplusplus/mcp/generalgit clone --depth 1 https://github.com/plusplusoneplusplus/mcpWhat 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 | $0.00365 | $0.00365 |
| Opus 5 | $0.00182 | $0.00182 |
| Sonnet 5 | $0.00073 | $0.00073 |
| Haiku 4.5 | $0.00036 | $0.00036 |
Grade A, and why
general 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
- Always use uv instead of python/pip for all package management and Python execution:
- Use
uv runinstead ofpython - Use
uv addinstead ofpip install - Use
uv removeinstead ofpip uninstall - Use
uv syncinstead ofpip install -r requirements.txt - Use
uv lockto update dependencies - Use existing virtual environment if available, otherwise use
uv venvfor virtual environment creation
- Use
- Do not generate readme markdown files unless I explicitly ask
- Do not generate example unless I explicitly ask
- No Emojis in Code: Never use emojis in code, logging statements, comments, or any programmatic output. Keep all code and logging professional and text-based only
- GitHub Issue Resolution Workflow: When the user asks to resolve, work on, or implement a GitHub issue, follow the comprehensive workflow defined in
@github_issue_workflow.mdc. This includes:- Pre-work setup (checkout main, pull latest changes)
- Issue analysis and planning
- Implementation with proper branch management
- Quality assurance and testing
- Mandatory pre-submission code review
- Pull request creation and management
- Post-submission monitoring and cleanup
- GitHub Issue Creation Workflow: When the user asks to create a GitHub issue, follow the structured approach defined in
@generate_github_issue.mdc. This includes:- Repository identification and verification
- Issue analysis and requirement clarification
- Proper issue structure with categorized titles
- Comprehensive descriptions with acceptance criteria
- Appropriate labels and metadata suggestions
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 · 30 lines · 365 tokens per session scan A 5b0f4ee981f2
general is a cursor rule published in the GitHub repository plusplusoneplusplus/mcp (4 stars, last pushed 9mo ago), licensed MIT. It adds 365 tokens to every session, about $0.0018 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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