Borrowing it
Nothing to install: this file belongs to QuickerHub/quicker-rpc. 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/QuickerHub/quicker-rpc/main/.cursor/commands/learn-modules.mdgit clone --depth 1 https://github.com/QuickerHub/quicker-rpcWrote 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/quickerhub/quicker-rpc/learn-modules)<a href="https://agentmods.dev/commands/quickerhub/quicker-rpc/learn-modules"><img src="https://agentmods.dev/badge/commands/quickerhub/quicker-rpc/learn-modules/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/quickerhub/quicker-rpc/learn-modules"><img src="https://agentmods.dev/badge/commands/quickerhub/quicker-rpc/learn-modules.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 | $0.00440 |
| Opus 5.5 | $0.00000 | $0.00176 |
| Sonnet 5.5 | $0.00000 | $0.00088 |
| Haiku 4.5 | $0.00000 | $0.00044 |
Grade A, and why
learn-modules 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.
What it actually says
learn-modules — 逐模块学习 step-runner 并蒸馏 authored ref
L1 单模块（143/143 维护态）。动作级 pattern / 动作库学习用
/learn-authoring；命令索引见/cursor-cli。
按 docs/superpowers/plans/2026-06-13-step-module-learning.md 执行一轮模块学习。
步骤
- 若
docs/authoring-references/step-modules/.learning-progress.json不存在:npm run docs:modules:learning-init node scripts/step-module-learning-progress.mjs --next取本批模块 id。 输出ALL_DONE时:跑npm run docs:modules:gen && npm run docs:gen,结束。- 对本批每个模块执行 plan 中的「单模块学习协议 P1–P5」:
qkrpc step-runner get --key sys:<key> --json(逐controlField分支)- 读
kc/<id>.md提取 get 之外的增量 - 无增量 →
--mark-skip <id> --reason "<一句话>" - 不确定点 →
__module_learning__临时动作实跑--trace验证,用后即删 - 写
authored/<id>.md(SPEC §3/§7)→--mark-done <id>
- 批末:
npm run docs:modules:analyze && npm run docs:modules:gen && npm run docs:gen
约束
- 勿改
kc/正文;勿删除非__module_learning__前缀的动作 - 用户要求持续后台跑时:先手动执行一轮,再
pwsh scripts/run-learning-loop.ps1arm loop
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 · 25 lines · 0 tokens per session scan A b5db9e71395f
learn-modules is a command published in the GitHub repository QuickerHub/quicker-rpc (14 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 440 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.
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