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/cloudwego/abcoderWrote 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/cloudwego/abcoder/schedule)<a href="https://agentmods.dev/commands/cloudwego/abcoder/schedule"><img src="https://agentmods.dev/badge/commands/cloudwego/abcoder/schedule/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/cloudwego/abcoder/schedule"><img src="https://agentmods.dev/badge/commands/cloudwego/abcoder/schedule.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 | $0.00474 |
| Opus 5.5 | $0.00000 | $0.00190 |
| Sonnet 5.5 | $0.00000 | $0.00095 |
| Haiku 4.5 | $0.00000 | $0.00047 |
Grade A, and why
ABCoder: Schedule 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
使用mcp__abcoder分析相关仓库（下钻到mcp__abcoder__get_ast_node查看细节），帮助用户设计实现方案。
Guardrails
- 最大化复用项目已有功能，避免重复造轮子。
- 优先采用直接、最小改动的实现方式，只有在用户明确要求时才增加复杂度。
- 严格限制修改影响面在所请求的结果范围内。
- 找出任何模糊或含糊不清的细节，并在修改文件前提出必要的后续问题。
- 在 Schedule 阶段禁止编写代码，禁止使用 agent。
Steps Track these steps as TODOs and complete them one by one.
- 从
mcp__abcoder__get_repo_structure开始，获取目标仓库结构。 - 根据任务描述，定位相关的 package。
- 使用
mcp__abcoder__get_package_structure获取 package 内的文件和节点列表。 - 使用
mcp__abcoder__get_ast_node深入分析相关代码节点，理解现有实现模式。 - 分析依赖关系、调用链、类型信息等。
- 设计实现方案，确保最大化复用已有功能、最小化改动。
- 找出任何模糊或缺失的技术细节，并向用户提出后续问题。
- 输出清晰的技术方案，包括修改范围、涉及的文件、关键实现步骤。
Reference
mcp__abcoder__list_repos- 列出所有可用仓库mcp__abcoder__get_repo_structure- 获取仓库结构（必须作为第一步）mcp__abcoder__get_package_structure- 获取 package 结构mcp__abcoder__get_file_structure- 获取文件结构mcp__abcoder__get_ast_node- 获取 AST 节点详情（下钻分析）
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 · 35 lines · 0 tokens per session scan A 8f08ad3cd303
ABCoder: Schedule is a command published in the GitHub repository cloudwego/abcoder (390 stars, last pushed 1mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 474 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.
Other commands, from other repositories
superskill
route a task through superskill packs.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.