Borrowing it
Nothing to install: this file belongs to alohays/paper2pr. 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/alohays/paper2pr/main/.claude/skills/learn/SKILL.mdgit clone --depth 1 https://github.com/alohays/paper2prWrote 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/skills/alohays/paper2pr/learn)<a href="https://agentmods.dev/skills/alohays/paper2pr/learn"><img src="https://agentmods.dev/badge/skills/alohays/paper2pr/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/skills/alohays/paper2pr/learn"><img src="https://agentmods.dev/badge/skills/alohays/paper2pr/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 | $0.00041 | $0.01184 |
| Opus 5.5 | $0.00016 | $0.00474 |
| Sonnet 5.5 | $0.00008 | $0.00237 |
| Haiku 4.5 | $0.00004 | $0.00118 |
Grade B, and why
learn scanned grade B with 1 finding 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.
Enumerates other installed skillsmediumAgent snooping
Other skills' SKILL.md files reveal prompts, capabilities and secrets that should be invisible to peers.
ls .claude/skills/ 2>/dev/null This is a copy
92% identical to learn — 62 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.
How it starts
The opening of the file, as written. The whole thing — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/learn — Skill Extraction Workflow
Extract non-obvious discoveries into reusable skills that persist across sessions.
When to Use This Skill
Invoke /learn when you encounter:
- Non-obvious debugging — Investigation that took significant effort, not in docs
- Misleading errors — Error message was wrong, found the real cause
- Workarounds — Found a limitation with a creative solution
- Tool integration — Undocumented API usage or configuration
- Trial-and-error — Multiple attempts before success
- Repeatable workflows — Multi-step task you'd do again
- User-facing automation — Reports, checks, or processes users will request
Workflow Phases
PHASE 1: Evaluate (Self-Assessment)
Before creating a skill, answer these questions:
- "What did I just learn that wasn't obvious before starting?"
- "Would future-me benefit from this being documented?"
- "Was the solution non-obvious from documentation alone?"
- "Is this a multi-step workflow I'd repeat?"
Continue only if YES to at least one question.
PHASE 2: Check Existing Skills
Search for related skills to avoid duplication:
# Check project skills
ls .claude/skills/ 2>/dev/null
# Search for keywords
grep -r -i "KEYWORD" .claude/skills/ 2>/dev/null
Outcomes:
- Nothing related → Create new skill (continue to Phase 3)
- Same trigger & fix → Update existing skill (bump version)
- Partial overlap → Update with new variant
PHASE 3: Create Skill
Create the skill file at .claude/skills/[skill-name]/SKILL.md:
---
name: descriptive-kebab-case-name
description: |
[CRITICAL: Include specific triggers in the description]
- What the skill does
- Specific trigger conditions (exact error messages, symptoms)
- When to use it (contexts, scenarios)
author: Claude Code Academic Workflow
version: 1.0.0
argument-hint: "[expected arguments]" # Optional
---
# Skill Name
## Problem
[Clear problem description — what situation triggers this skill]
## Context / Trigger Conditions
[When to use — exact error messages, symptoms, scenarios]
[Be specific enough that you'd recognize it again]
## Solution
[Step-by-step solution]
[Include commands, code snippets, or workflows]
## Verification
[How to verify it worked]
[Expected output or state]
## Example
[Concrete example of the skill in action]
## References
[Documentation links, related files, or prior discussions]
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 · 163 lines · 41 tokens per session scan B fa553a8dabd5
learn is a skill published in the GitHub repository alohays/paper2pr (6 stars, last pushed today), licensed MIT. It adds 41 tokens to every session and 1,184 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it B with 1 finding (enumerates other installed skills). It is 92% identical to learn, differing in 62 lines, and is treated as a copy.
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