Borrowing it
Nothing to install: this file belongs to Bita71/Agent-Workflow-Kit. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Bita71/Agent-Workflow-Kit/master/.claude/commands/learn.mdgit clone --depth 1 https://github.com/Bita71/Agent-Workflow-KitWrote 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/bita71/agent-workflow-kit/learn)<a href="https://agentmods.dev/commands/bita71/agent-workflow-kit/learn"><img src="https://agentmods.dev/badge/commands/bita71/agent-workflow-kit/learn/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/bita71/agent-workflow-kit/learn"><img src="https://agentmods.dev/badge/commands/bita71/agent-workflow-kit/learn.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00000 | $0.00045 |
| Opus 5.5 | $0.00000 | $0.00018 |
| Sonnet 5.5 | $0.00000 | $0.00009 |
| Haiku 4.5 | $0.00000 | $0.00005 |
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 2mo 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
learn
Propose only durable, reusable improvements to persist in the repo after this session. Do not apply them — the user copies, edits, or rejects.
Follow docs/ai/commands/learn.md.
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.
- 2mo ago First seen · 7 lines · 0 tokens per session scan A 128a9e7575d1
learn is a command published in the GitHub repository Bita71/Agent-Workflow-Kit (1 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 45 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 2026-08-31.
Other commands, from other repositories
check-update
Check if a newer HOTL version is available.
pr-review
Review a PR across multiple dimensions (description, code, scan, tests).
setup
Generate HOTL adapter files for your team's code assistants (Codex, Cline, Cursor, Copilot).
subagent-execute
Execute a reviewed HOTL workflow in this session with delegated subagent steps and controller-owned verification.
write-plan
Create a docs/plans/YYYY-MM-DD- -workflow.md implementation workflow with loops and gates.
brainstorm
Design a feature with HOTL contracts before writing any code.