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 asherzj/ashers-agent-skills --skill flow-small-changegit clone --depth 1 https://github.com/asherzj/ashers-agent-skillsWrote 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/asherzj/ashers-agent-skills/flow-small-change)<a href="https://agentmods.dev/skills/asherzj/ashers-agent-skills/flow-small-change"><img src="https://agentmods.dev/badge/skills/asherzj/ashers-agent-skills/flow-small-change/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/asherzj/ashers-agent-skills/flow-small-change"><img src="https://agentmods.dev/badge/skills/asherzj/ashers-agent-skills/flow-small-change.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 | $0.00063 | $0.00524 |
| Opus 5 | $0.00032 | $0.00262 |
| Sonnet 5 | $0.00013 | $0.00105 |
| Haiku 4.5 | $0.00006 | $0.00052 |
Grade A, and why
flow-small-change 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
小改动交付流程
依次组合 grill-with-docs 和 implement，不要复制它们的内部操作。开始前读取仓库的 AGENTS.md 或 CLAUDE.md，让领域术语、ADR 和工单规则贯穿全程。
入口判断
只有同时满足以下条件才使用本流程：
- 只改变一个连贯、可观察的行为；
- 能在一次实现上下文和一次工单级提交中完成；
- 不需要独立决策地图、正式规格或多工单依赖图。
澄清后如果出现多个可独立交付的切片，转用 flow-feature；如果路线仍然迷雾重重，转用 flow-large-effort。
流程
- 输入是未经整理的口述或逐字稿时先调用
from-transcript；否则直接调用grill-with-docs。明确预期行为、范围、领域语言、验收接缝，以及至少一个正常或关键异常验收例子，并保留当前对话作为实现的一手来源。 - 把共识整理成一份简短实现说明。除非用户或仓库流程要求，否则不要为了小改动额外创建 Issue。
- 在同一上下文调用
implement。由它负责验收外循环、适用时的红绿 TDD 切片、分层验证、双轴代码评审、上下文更新、提交、推送和工单收尾。
不要顺手扩大范围做相邻清理；新发现的工作应单独提出。
完成条件
汇报交付行为、验收证据、分层验证、评审结论、上下文更新、提交与远端分支，以及存在 Issue 时的最终状态。达到仓库定义的完整功能门槛时，先执行项目级完成钩子。任何必要检查、权限或推送受阻时，停在边界并明确说明，不能声称已经交付。
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 32 lines · 63 tokens per session scan A aa1d556d82d7
flow-small-change is a skill published in the GitHub repository asherzj/ashers-agent-skills (2 stars, last pushed 13d ago), licensed MIT. It adds 63 tokens to every session and 524 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 2026-08-31.
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