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.
git clone --depth 1 https://github.com/punt-labs/quarryWrote 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/punt-labs/quarry/learn)<a href="https://agentmods.dev/commands/punt-labs/quarry/learn"><img src="https://agentmods.dev/badge/commands/punt-labs/quarry/learn.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 5.1 | $0.00031 | $0.00181 |
| Opus 5 | $0.00015 | $0.00090 |
| Sonnet 5 | $0.00006 | $0.00036 |
| Haiku 4.5 | $0.00003 | $0.00018 |
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 yesterday.
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
91% identical to learn-dev — 2 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
Input
Arguments: $ARGUMENTS
If the arguments end with " as <name>", the text before that clause is the
lesson and <name> is the name. Otherwise the full argument string is the
lesson and no name is given.
Task
Call mcp__quarry__learn with:
lessonset to the lesson textnameset to the parsed name, if any
The result is already formatted by a PostToolUse hook and displayed above. Do not repeat or reformat the data. Do not send any text after the tool call.
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.
- yesterday First seen · 23 lines · 31 tokens per session scan A ac99e2455a5c
learn is a command published in the GitHub repository punt-labs/quarry (3 stars, last pushed 2d ago), licensed MIT. It adds 31 tokens to every session and 181 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to learn-dev, differing in 2 lines, and is treated as a copy.
Other commands, from other repositories
log
Command "log" from allenc84/sapience, covering /log — judgment ledger command, routing, new assessment: /log, review: /log review [domain] and resolve: /log resolve.
md-cleanup
Unified context budget auditor — CLAUDE.md, hookify rules, memory files, skills. One command, one report. Triggers: "md cleanup", "context budget", "clean md", "audit context", "trim rules", "skill cleaning", "memory maintenance", "claudemd maintenance". NOT FOR: editing specific files (just edit), git operations…
iai-directive
Record a standing order the user typed themselves, as an explicit memory directive.
setup-video-vision
Interactive setup wizard for claude-video-vision — configure backend, whisper, frames, and verify dependencies.
init-workspace-flow-questions
Phase 8 Questions of init-workspace-flow.
create-epo-patent
Create a complete EPO-compliant patent application from invention disclosure through filing-ready package.