quicker-authoring-getquicker-user-actions

quicker-authoring-getquicker-user-actions is a skill for Claude Code from QuickerHub/quicker-rpc. It costs 52 tokens per session (1,614 once invoked), scanned A, original, MIT.

A workflow for reading public action lists from getquicker.net, including pages beyond the first one, and totaling their likes and count.

In plain words
What is it for?
Use it to process a Quicker User/Actions sharing-page URL and output the total likes and number of public actions. Quicker is the automation platform whose shared actions are being analyzed.
Why use it?
It avoids missing actions that are hidden on later pages and defines how to extract the totals from each page without displaying results in pop-up controls.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to process a Quicker User/Actions sharing-page URL and output the total likes and number of public actions. Quicker is the automation platform whose shared actions are being analyzed.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/quickerhub/quicker-rpc/quicker-authoring-getquicker-user-actions
Install

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.

Any agent
npx skills add QuickerHub/quicker-rpc --skill quicker-authoring-getquicker-user-actions
Clone the repo
git clone --depth 1 https://github.com/QuickerHub/quicker-rpc

Made for: Claude Code.

Wrote 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.

agentmods badge for quicker-authoring-getquicker-user-actions

README.md
[![agentmods](https://agentmods.dev/badge/skills/quickerhub/quicker-rpc/quicker-authoring-getquicker-user-actions/github.svg)](https://agentmods.dev/skills/quickerhub/quicker-rpc/quicker-authoring-getquicker-user-actions)
Your own site
<a href="https://agentmods.dev/skills/quickerhub/quicker-rpc/quicker-authoring-getquicker-user-actions"><img src="https://agentmods.dev/badge/skills/quickerhub/quicker-rpc/quicker-authoring-getquicker-user-actions/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.

agentmods 80×15 button for quicker-authoring-getquicker-user-actions

Your own site · 80×15
<a href="https://agentmods.dev/skills/quickerhub/quicker-rpc/quicker-authoring-getquicker-user-actions"><img src="https://agentmods.dev/badge/skills/quickerhub/quicker-rpc/quicker-authoring-getquicker-user-actions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,614 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00052 $0.01614
Opus 5 $0.00026 $0.00807
Sonnet 5 $0.00010 $0.00323
Haiku 4.5 $0.00005 $0.00161

Measured 11d ago against content hash 05a51ff71f05, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

quicker-authoring-getquicker-user-actions 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 11d 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.

docs/skills/quicker-authoring-getquicker-user-actions/SKILL.md · 114 lines

How it starts

The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.

getquicker 用户动作获赞统计(quicker-authoring-getquicker-user-actions)

父 skill:quicker-authoring · 状态:promoted · 参考:QuickerBench user-action-likes-total

何时加载

从 getquicker.net User/Actions 分享页(含分页)抓取公开动作列表,汇总 获赞总数动作个数,写入输出变量。不要 msgbox / textwindow / form。

步骤骨架

  1. 输入:动作参数 quicker_in_param(完整 URL 或 User/Actions/… 路径)
  2. 规范化 URLsys:evalexpressionsys:assign — 补 https://getquicker.net/ 前缀,去掉尾部 ?p=
  3. 首页 GETsys:http method GET → 变量 pageHtml / httpContent
  4. 解析分页:从首页 HTML 取 maxPage(链接里 ?p=(\d+) 最大值,通常 1–5)和可选 共 (\d+) 个动作
  5. 分页循环sys:repeatstopCondition 或固定次数)或 page=1..maxPage
    • 每页 GET:baseUrlbaseUrl?p={page}(第 1 页可无 query)
    • Bench/mock:HTTP 由 mock profile 注入 fixture HTML — web_search / browser
  6. 解析表格:每页 HTML 中 <tr>Sharedaction?code= 的行 → 取 第二个 数字列(likes)
    • 推荐单步 sys:evalexpression + C# Regex.Matches 累加;复杂 C# 放 files/*.eval.csfile_write + patch
  7. 输出变量totalLikesactionCountIsOutput=true

硬规则(本场景)

  • step_runner_searchgethttp|regexExtract|repeat|evalexpression|assign — 可多次 search 不同模块,禁止猜 inputParams
  • 子程序式:结果只写 输出变量;禁止弹窗展示结果。
  • repeat / each 子步骤挂 ifSteps;单分支用 simpleIf
  • patch 后 workspace_program diagnostics — 禁止 read_data 验证;mock assert 会检查输出变量。
  • 大段 C#(含 { })勿内联进 qkrpc_action_create JSON — 用 workspace_program file_write.eval.cs

HTML 提示(113342-Cea fixture)

  • 分页链接:?p=2?p=5;首页文本 共 117 个动作
  • 数据行:<tr>Sharedaction?code=(跳过含 <th 的行)
  • 获赞class="align-middle text-center d-none d-md-table-cell small"第一个 数字单元格(不是「点赞」文本)
  • 表头列顺序:… 大小(非 small 纯数字 td)→ 获赞 → 用户

推荐解析(与 QuickerBench oracle 一致)

files/parsePage.eval.cs — 每页 HTTP 后执行,累加 totalLikes / actionCount,首次页还可算 maxPage

var rows = System.Text.RegularExpressions.Regex.Matches(pageHtml, @"<tr>[\s\S]*?</tr>");
int pageLikes = 0, pageCount = 0;
foreach (System.Text.RegularExpressions.Match rm in rows)
{
    var row = rm.Value;
    if (!row.Contains("Sharedaction") || row.Contains("<th")) continue;
    var cells = System.Text.RegularExpressions.Regex.Matches(
        row,
        @"<td class=""align-middle text-center\s+d-none d-md-table-cell small"">([\s\S]*?)</td>");
    if (cells.Count < 1) continue;
    var likesRaw = System.Text.RegularExpressions.Regex.Replace(cells[0].Groups[1].Value, @"<[^>]+>", "").Trim();
    if (int.TryParse(likesRaw, out var likes)) { pageLikes += likes; pageCount++; }
}
{totalLikes} = {totalLikes} + pageLikes;
{actionCount} = {actionCount} + pageCount;
if ({maxPage} <= 1)
{
    int mp = 1;
    foreach (System.Text.RegularExpressions.Match m in System.Text.RegularExpressions.Regex.Matches(pageHtml, @"[?&]p=(\d+)"))
        mp = System.Math.Max(mp, int.Parse(m.Groups[1].Value));
    {maxPage} = mp;
}

Read the full file on GitHub · 114 lines

Changes

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.

  1. 11d ago First seen · 114 lines · 52 tokens per session scan A 05a51ff71f05

Subscribe to this mod's changes

quicker-authoring-getquicker-user-actions is a skill published in the GitHub repository QuickerHub/quicker-rpc (13 stars, last pushed 28d ago), licensed MIT. It adds 52 tokens to every session and 1,614 once invoked, about $0.0003 per session on Opus 5. 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.