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-shipgit 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-ship)<a href="https://agentmods.dev/skills/hujianbest/harness-flow/hf-ship"><img src="https://agentmods.dev/badge/skills/hujianbest/harness-flow/hf-ship/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-ship"><img src="https://agentmods.dev/badge/skills/hujianbest/harness-flow/hf-ship.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 30 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00061 | $0.00496 |
| Opus 5 | $0.00030 | $0.00248 |
| Sonnet 5 | $0.00012 | $0.00099 |
| Haiku 4.5 | $0.00006 | $0.00050 |
Grade A, and why
hf-ship 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-ship
发布与回顾:把已验证的实现正式收口,并把反馈写回产品层。
前置
- 宜确认任务票已勾选、
code-review已通过并确认；用户可感知特性还宜有reviews/demo-acceptance.md（结论「接受」且已确认）。 - 探索模式不应进入本阶段。
流程
1. 验收对照
逐条核对规格中的用户故事 / 任务票验收标准是否闭合；缺口只能返回 hf-implement 并重新评审，不能在 ship 阶段「补做」。
2. 反馈回写
- 勾选外部待办列表/任务跟踪器中的对应项（若有）
- 新想法按垂直切片追加,不塞进已关闭特性
- 结算
product/assumptions.md（确认→决策记录/ADR；推翻→记录影响范围） - 结构变化回写
CONTEXT.md；模块边界/关键场景/开发视图变化须回写product/architecture.md（保持地图，不塞特性细节）
3. 演示反馈
可感知特性：interactive 模式下已验收则记录要点；auto 模式下曾记为 auto-approved 的，本次与用户交互必须主动呈上演示并征求反馈。
4. 收尾
progress.md当前阶段done,写交付摘要(一句话 + 回写列表)- 不删除证据/评审记录（审计用）
红线
- 评审仍为「需修改」时口头宣称「做完了」
- 探索模式进入
ship阶段 - 把新范围塞进已评审批次而不回开票
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 · 42 lines · 61 tokens per session scan A e46128ce4bb1
hf-ship is a skill published in the GitHub repository hujianbest/harness-flow (53 stars, last pushed 11d ago), licensed MIT. It adds 61 tokens to every session and 496 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 2026-08-30.
Other skills, from other repositories
agent-release-swarm
Agent skill for release-swarm - invoke with $agent-release-swarm.
release-announcement
Write a release announcement — changelog, blog post, in-app note, or social post — that leads with user impact, names the audience, and includes upgrade/migration steps without filler.
multi-agent-release-manager
Cleans up the workspace, formats code, runs presubmit checks, and uploads CLs to Gerrit.
release-notes
Generate user-facing release notes from tickets, PRDs, or changelogs. Creates clear, engaging summaries organized by category (new features, improvements, fixes). Use when writing release notes, creating changelogs, announcing product updates, or summarizing what shipped.
pack-submit
Package one of this agent's own skills as a standalone community pack and submit it to the aeon registry as a PR.
updater_guide
Guidance for checking for and installing Row-Bot updates.