Borrowing it
Nothing to install: this file belongs to zhmxiaowo/opencode-simple. 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/zhmxiaowo/opencode-simple/main/.opencode/commands/learn.mdgit clone --depth 1 https://github.com/zhmxiaowo/opencode-simpleWrote 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/zhmxiaowo/opencode-simple/learn)<a href="https://agentmods.dev/commands/zhmxiaowo/opencode-simple/learn"><img src="https://agentmods.dev/badge/commands/zhmxiaowo/opencode-simple/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/zhmxiaowo/opencode-simple/learn"><img src="https://agentmods.dev/badge/commands/zhmxiaowo/opencode-simple/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 | $0.00015 | $0.00394 |
| Opus 5.5 | $0.00006 | $0.00158 |
| Sonnet 5.5 | $0.00003 | $0.00079 |
| Haiku 4.5 | $0.00002 | $0.00039 |
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 1mo 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
89% identical to learn — 4 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
/learn - Extract Reusable Patterns
Analyze the current session and extract any patterns worth saving as skills.
Trigger
Run /learn at any point during a session when you've solved a non-trivial problem.
What to Extract
Look for:
-
Error Resolution Patterns
- What error occurred?
- What was the root cause?
- What fixed it?
- Is this reusable for similar errors?
-
Debugging Techniques
- Non-obvious debugging steps
- Tool combinations that worked
- Diagnostic patterns
-
Workarounds
- Library quirks
- API limitations
- Version-specific fixes
-
Project-Specific Patterns
- Codebase conventions discovered
- Architecture decisions made
- Integration patterns
Output Format
Create a skill file at ~/.claude/skills/learned/[pattern-name].md:
# [Descriptive Pattern Name]
**Extracted:** [Date]
**Context:** [Brief description of when this applies]
## Problem
[What problem this solves - be specific]
## Solution
[The pattern/technique/workaround]
## Example
[Code example if applicable]
## When to Use
[Trigger conditions - what should activate this skill]
Process
- Review the session for extractable patterns
- Identify the most valuable/reusable insight
- Draft the skill file
- Ask user to confirm before saving
- Save to
~/.claude/skills/learned/
Notes
- Don't extract trivial fixes (typos, simple syntax errors)
- Don't extract one-time issues (specific API outages, etc.)
- Focus on patterns that will save time in future sessions
- Keep skills focused - one pattern per skill
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.
- 1mo ago First seen · 75 lines · 15 tokens per session scan A 013c3f633657
learn is a command published in the GitHub repository zhmxiaowo/opencode-simple (2 stars, last pushed 7mo ago), licensed MIT. It adds 15 tokens to every session and 394 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 89% identical to learn, differing in 4 lines, and is treated as a copy.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
speckit.bug.fix
Apply the remediation from a bug assessment and record what was changed.