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/rohitg00/pro-workflow/learngit clone --depth 1 https://github.com/rohitg00/pro-workflowWhat 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 | $0.02611 |
| Opus 5 | $0.00000 | $0.01306 |
| Sonnet 5 | $0.00000 | $0.00522 |
| Haiku 4.5 | $0.00000 | $0.00261 |
Grade A, and why
learn 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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 · 259 lines · 0 tokens per session scan A 180384ab1a69
learn is a command published in the GitHub repository rohitg00/pro-workflow (2,799 stars, last pushed yesterday), with no licence file. It costs nothing until one of its globs matches a file; then it loads 2,611 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 commands, from other repositories
tutorial
Interactive tutorial for learning the plugin. Walks through agents, skills, hooks, and commands with hands-on examples.
learn
Command "learn" from chohra-med/expo_boilerplate, covering command: learn — the learning loop (feedback → rules), when to run it, invocation, the loop (6 steps) and 1 — capture.
quiz-gate
The ★-tap NUDGE before merging a significant+worthy gate PR: a 5-question quiz built from the ACTUAL diff+tests, routed through deep-understand's mastery gate. Three logged responses (engage/defer/wave); advisory, never must-pass. Gates the human's attention, not the merge.
OPSX: Apply
Implement tasks from an OpenSpec change (Experimental).
remember
Save something to agent memory - picks project or user scope automatically from context.
course-outline
Outline a course sequenced so each lesson is learnable when it arrives, ending in a real capability.