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 hujianbest/harness-flow --skill hf-to-ticketsgit clone --depth 1 https://github.com/hujianbest/harness-flowWrote 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/hujianbest/harness-flow/hf-to-tickets)<a href="https://agentmods.dev/skills/hujianbest/harness-flow/hf-to-tickets"><img src="https://agentmods.dev/badge/skills/hujianbest/harness-flow/hf-to-tickets/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/hujianbest/harness-flow/hf-to-tickets"><img src="https://agentmods.dev/badge/skills/hujianbest/harness-flow/hf-to-tickets.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00045 | $0.00567 |
| Opus 5 | $0.00023 | $0.00283 |
| Sonnet 5 | $0.00009 | $0.00113 |
| Haiku 4.5 | $0.00005 | $0.00057 |
Grade A, and why
hf-to-tickets 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 12d 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
hf-to-tickets
把计划、规格或架构拆分为任务票——采用曳光弹式垂直切片，每张票都声明会阻塞它的其他任务票。
HarnessFlow 桥接
- 宜在规格与特性架构评审通过后拆票；更新
progress.md为to-tickets。 - 发布到
features/<id>/tickets.md（机器可读的- [ ] T-NN行）。 - 首张可执行票应为最薄端到端路径(行走骨架判据),除非架构已声明存量无需。
- 更新
progress.md；下一步进入hf-implement。
流程
1. 收集上下文
读取 spec.md、architecture.md、评审记录与 CONTEXT.md。
2. 探索代码库（可选）
使用领域词汇。寻找预重构机会：先让变更变得容易，再完成这个容易的变更。
3. 起草垂直切片
- 每个切片都贯穿各层形成一条狭窄但完整的路径——纵向而非横向
- 每个切片都能单独演示或验证；规模应适合在一个全新上下文窗口内完成
- 先做预重构
- 每张任务票都包含阻塞边
大范围重构采用扩张—收缩批次，而不是强行拆成曳光弹式切片。
4. 询问用户
展示标题 / blocked-by / 交付内容。反复调整直至获批（auto：将粒度选择所依赖的假设记入台账）。
5. 发布
本地 / HF 默认方式——tickets.md：
# 任务票
- [ ] T-01 <title> — Blocked by: None — <what it delivers>
- [ ] T-02 <title> — Blocked by: T-01 — <what it delivers>
可选择在 tickets/ 下为每张任务票创建详情文件；清单以 tickets.md 中的 - [ ] T-NN 行为准。
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.
- 12d ago First seen · 52 lines · 45 tokens per session scan A 3755aee4030e
hf-to-tickets is a skill published in the GitHub repository hujianbest/harness-flow (53 stars, last pushed 12d ago), licensed MIT. It adds 45 tokens to every session and 567 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.
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