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.
npx agentmods add commands/aiflowlearn/awesome-claude-code/testgit clone --depth 1 https://github.com/aiflowlearn/awesome-claude-codeWhat 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 | $0.00000 | $0.00019 |
| Opus 5 | $0.00000 | $0.00010 |
| Sonnet 5 | $0.00000 | $0.00004 |
| Haiku 4.5 | $0.00000 | $0.00002 |
Grade A, and why
test 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 yesterday.
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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- yesterday First seen · 1 lines · 0 tokens per session scan A 6deab44dd470
test is a command published in the GitHub repository aiflowlearn/awesome-claude-code (1 stars, last pushed 3mo ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 19 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 2026-08-31.
Other commands, from other repositories
clarify
通过最多 5 个高针对性的澄清问题识别当前功能规范中的未明确部分，并将答案写回规范。.
tasks
Command "tasks" from loulanyue/spec-kit-zh, covering 用户输入, 语言要求, 执行前检查, 概述 and task generation rules.
constitution
根据交互输入或已提供原则创建或更新项目章程，并确保相关模板保持同步。.
taskstoissues
基于现有设计制品，将任务转换为可执行、带依赖顺序的 GitHub Issues。.
plan
执行实施规划工作流，并使用计划模板生成设计制品。.
sc-detail
Throughline の退避済みターン（L2 本文 + L3 ツール入出力）を時刻で復元する.