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 commands/alenryuichi/openmemory-plus/bmad-cis-problem-solvinggit clone --depth 1 https://github.com/Alenryuichi/openmemory-plusWrote 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/commands/alenryuichi/openmemory-plus/bmad-cis-problem-solving)<a href="https://agentmods.dev/commands/alenryuichi/openmemory-plus/bmad-cis-problem-solving"><img src="https://agentmods.dev/badge/commands/alenryuichi/openmemory-plus/bmad-cis-problem-solving.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 | $0.00037 | $0.00206 |
| Opus 5 | $0.00018 | $0.00103 |
| Sonnet 5 | $0.00007 | $0.00041 |
| Haiku 4.5 | $0.00004 | $0.00021 |
Grade A, and why
problem-solving 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 4d 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.
This is a copy
73% identical to correct-course — 9 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
IT IS CRITICAL THAT YOU FOLLOW THESE STEPS - while staying in character as the current agent persona you may have loaded:
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.
- 4d ago First seen · 15 lines · 37 tokens per session scan A 0d277ffceaa6
problem-solving is a command published in the GitHub repository Alenryuichi/openmemory-plus (20 stars, last pushed 6mo ago), licensed MIT. It adds 37 tokens to every session and 206 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 73% identical to correct-course, differing in 9 lines, and is treated as a copy.
Other commands, from other repositories
repair-table
作用: 针对指定表格或当前论文中的表格问题执行修复闭环。它是专家快捷入口；普通自然语言如“修 Table 2 太挤的问题”也应能触发同类任务。.
pre-pr-check
Pre-PR quality gate for PromptPit. Run this on your feature branch after implementation is complete, before opening a PR. Chains three checks: code review, adapter correctness verification, and code simplification.
rclone_cat
Concatenates any files and sends them to stdout.
rclone_archive_extract
Extract archives from source to destination.
rclone_completion
Output completion script for a given shell.
rclone_config_edit
Enter an interactive configuration session.