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-authoring.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-authoring)<a href="https://agentmods.dev/commands/quickerhub/quicker-rpc/learn-authoring"><img src="https://agentmods.dev/badge/commands/quickerhub/quicker-rpc/learn-authoring/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-authoring"><img src="https://agentmods.dev/badge/commands/quickerhub/quicker-rpc/learn-authoring.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 | $0.00203 |
| Opus 5.5 | $0.00000 | $0.00081 |
| Sonnet 5.5 | $0.00000 | $0.00041 |
| Haiku 4.5 | $0.00000 | $0.00020 |
Grade A, and why
learn-authoring 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-authoring — 执行动作编写知识任务
以 docs/authoring-references/learning-workflow.md
为唯一流程规范，执行一轮动作级学习；不要读取历史计划。
qkrpc_health；失败则qkrpc_wait，禁止 shell 连环探测。- 运行
node scripts/action-authoring-learning-progress.mjs --next。 ALL_DONE时报告完成；否则严格按 workflow 中对应type的协议执行本批。- 用
--mark-done <queue-id>更新状态；修改 skill source 后运行npm run docs:gen。 - 动作库/shared 只读；临时
__pattern_learning__*动作用后删除。
用户明确要求持续执行时，先完成本轮，再运行 pwsh scripts/run-action-learning-loop.ps1。
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 · 13 lines · 0 tokens per session scan A 0d29b75af2aa
learn-authoring 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 203 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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