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 skills add QuickerHub/quicker-rpc --skill quicker-authoring-step-commentsgit 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/skills/quickerhub/quicker-rpc/quicker-authoring-step-comments)<a href="https://agentmods.dev/skills/quickerhub/quicker-rpc/quicker-authoring-step-comments"><img src="https://agentmods.dev/badge/skills/quickerhub/quicker-rpc/quicker-authoring-step-comments/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/skills/quickerhub/quicker-rpc/quicker-authoring-step-comments"><img src="https://agentmods.dev/badge/skills/quickerhub/quicker-rpc/quicker-authoring-step-comments.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 | $0.00032 | $0.00313 |
| Opus 5 | $0.00016 | $0.00156 |
| Sonnet 5 | $0.00006 | $0.00063 |
| Haiku 4.5 | $0.00003 | $0.00031 |
Grade A, and why
quicker-authoring-step-comments 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 10d 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
步骤注释（quicker-authoring-step-comments）
父 skill：quicker-authoring · 参考：
action-patterns/step-comments.md
何时加载
自写 ≥3 步 或含 if/loop/subprogram/外置文件 的动作；需要 structure 一眼看懂数据流时。
步骤骨架
- 每段逻辑前加
sys:comment，note写「输入 → 操作 → 输出」 step-runner get --key sys:comment确认仅note键- 与可执行步骤交替排列；不要堆在末尾
硬规则
- comment 无运行时副作用；不替代 assign/evalexpression
- 读 structure 自检：步骤类型序列应能复述流程
- 库/分享动作只读解构时可看他人是否用 comment；写作只在本地新建动作
深度阅读
action-patterns/step-comments.md·authored/comment.md
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.
- 10d ago First seen · 33 lines · 32 tokens per session scan A 0cdc7d33a84e
quicker-authoring-step-comments is a skill published in the GitHub repository QuickerHub/quicker-rpc (13 stars, last pushed 26d ago), licensed MIT. It adds 32 tokens to every session and 313 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 2026-08-30.
Other skills, from other repositories
gws-modelarmor
Google Model Armor: Filter user-generated content for safety.
persona-event-coordinator
Plan and manage events — scheduling, invitations, and logistics.
persona-researcher
Organize research — manage references, notes, and collaboration.
persona-team-lead
Lead a team — run standups, coordinate tasks, and communicate.
recipe-save-email-attachments
Find Gmail messages with attachments and save them to a Google Drive folder.
recipe-draft-email-from-doc
Read content from a Google Doc and use it as the body of a Gmail message.