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/go1c/workflow-plugin/plangit clone --depth 1 https://github.com/Go1c/workflow-pluginWhat 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 | $0.00022 | $0.00218 |
| Opus 5 | $0.00011 | $0.00109 |
| Sonnet 5 | $0.00004 | $0.00044 |
| Haiku 4.5 | $0.00002 | $0.00022 |
Grade A, and why
plan 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.
What it actually says
强制调起 workflow-planning 技能处理下面的输入。先读取来源与项目上下文，一次只问一个真正改变蓝图的问题，执行全局查重和依赖分析，然后把完整蓝图写入本地 .workflow-drafts/<bundleId>/。输出中必须列出目标 Workflow 项目与 bundle 对象数量。蓝图内容确认不等于线上写入授权；PlanMode 只保留草稿，Auto 由 /workflow:upload 做一次 bundle 确认，全部授权在草稿校验后自动上传。
规划阶段不启动实现、不创建 Worktree、不运行目标仓库测试、不流转需求状态。线上创建、评论、附件、关系和状态写回统一由 workflow-upload 按权限模式处理；不会凭空创建未在 manifest 中声明的对象。
用户输入：
$ARGUMENTS
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 · 12 lines · 22 tokens per session scan A fe38efaaa85e
plan is a command published in the GitHub repository Go1c/workflow-plugin (2 stars, last pushed 2d ago), licensed MIT. It adds 22 tokens to every session and 218 once invoked, about $0.0001 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.
Other commands, from other repositories
design-review
Workflow recipe — review a design end-to-end, ending in measured numbers rather than adjectives, by chaining 4 skills.
setup-pm-skills
Onboard a new user — find out what they do, recommend the right bundles & top skills, and set up a project CONTEXT.md so every skill is tailored to them.
statusbar-style
Switch the status-bar style (classic / capsule / hairline).
validate-dependencies
Validate all task dependencies for issues.
everme-help
Print a concise EverMe plugin status + reference card.
fest-show
Show festival progression (in-progress tasks, roadmap, and dependency view).