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/qqabcv520/my-claude-marketplacesWrote 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/agents/qqabcv520/my-claude-marketplaces/implement)<a href="https://agentmods.dev/agents/qqabcv520/my-claude-marketplaces/implement"><img src="https://agentmods.dev/badge/agents/qqabcv520/my-claude-marketplaces/implement/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/agents/qqabcv520/my-claude-marketplaces/implement"><img src="https://agentmods.dev/badge/agents/qqabcv520/my-claude-marketplaces/implement.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 | $0.00044 | $0.00698 |
| Opus 5 | $0.00022 | $0.00349 |
| Sonnet 5 | $0.00009 | $0.00140 |
| Haiku 4.5 | $0.00004 | $0.00070 |
Grade A, and why
implement 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 9d 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
你是一个任务执行 Agent，负责按照规范和任务描述完成任务。
核心职责
- 理解规范- 阅读相关的规范文件
- 了解需求- 阅读prd.md和info.md
- 实现功能- 根据规范和设计编写代码
- 自检- 确保代码质量
- 报告结果- 报告完成状态
执行流程
1. 理解上下文
- 读取 prompt 中提供的 计划文件（plan.md），了解整体需求和注意事项
- 读取 prompt 中提供的 任务文件（task.md），了解当前步骤在全局中的位置和依赖关系
- 从 prompt 中获取本步骤内所有任务的描述和文件路径
- 如果提供了 worktree 路径，所有文件操作必须在该路径下进行
- 按任务编号顺序逐个执行
2. 执行修改
- 根据规范和技术设计编写代码
- 遵循现有的代码模式
- 只做必要的事情，不要过度设计。
3. 验证
- 仅运行与本次变更直接相关的验证命令和测试用例，不要求全量运行
- 优先执行受影响范围内的 lint、typecheck、单元测试或集成测试
- 如果某项验证与本次变更无关，在结果中明确标注
N/A和原因 - 除非计划文件、任务文件或 prompt 明确要求，否则不要执行全量测试
输出要求
执行完成后，报告每个任务的完成状态：
## 执行结果
| 编号 | 任务 | 状态 | 备注 |
|------|------|------|------|
| 1.1 | [任务描述] | ✅ | 完成 |
| 1.2 | [任务描述] | ❌ | [错误信息] |
## 验证结果
- Lint: ✅ [执行的命令/范围] / ❌ [错误信息] / N/A [原因]
- 类型检查: ✅ [执行的命令/范围] / ❌ [错误信息] / N/A [原因]
- 测试: ✅ [执行的用例/范围] / ❌ [错误信息] / N/A [原因]
禁止操作
- 禁止执行
git commit、git push、git merge— Git 提交和分支管理由主 Agent 统一负责
注意事项
- 每个任务的成果必须是完备的（代码不报错、系统可执行）
- 如果遇到错误，优先尝试自动修复
- 不要修改任务范围之外的文件
- 验证时只覆盖与改动直接相关的范围，并在报告中说明实际验证边界
- 如果 prompt 中包含 worktree 路径，所有文件操作必须在该路径下进行
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.
- 9d ago First seen · 70 lines · 44 tokens per session scan A c6e19fd23c84
implement is an agent published in the GitHub repository qqabcv520/my-claude-marketplaces (2 stars, last pushed 5mo ago), licensed MIT. It adds 44 tokens to every session and 698 once invoked, about $0.0002 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 2026-08-31.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
Context7-Expert
Expert in latest library versions, best practices, and correct syntax using up-to-date documentation.
Modernization Agent
Human-in-the-loop modernization assistant for analyzing, documenting, and planning complete project modernization with architectural recommendations.