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 yibie/SPEC-AGENTS.md --skill arrangegit clone --depth 1 https://github.com/yibie/SPEC-AGENTS.mdWrote 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/yibie/spec-agents.md/arrange)<a href="https://agentmods.dev/skills/yibie/spec-agents.md/arrange"><img src="https://agentmods.dev/badge/skills/yibie/spec-agents.md/arrange/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/yibie/spec-agents.md/arrange"><img src="https://agentmods.dev/badge/skills/yibie/spec-agents.md/arrange.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 | $0.00059 | $0.00904 |
| Opus 5 | $0.00030 | $0.00452 |
| Sonnet 5 | $0.00012 | $0.00181 |
| Haiku 4.5 | $0.00006 | $0.00090 |
Grade A, and why
arrange 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 4d 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
Arrange
把一个设计安排成 agent 能逐个完成的纵向切片。
读取
读取当前 feature 的 SPEC.md、项目 .spec-agents/state/KERNEL.md(若存在)、相关 .spec-agents/doctrine/docs/WORKFLOW.md、CONTEXT.md、ADR、Protocol、Runbook、Lesson 和现有 Slice。只查已确认 SPEC 的范围;不要把尚未确认的想法提前拆成切片。
切片规则
- 一个 Slice 对应一个新上下文可完成、可验证的结果。
- 优先使用跨层的 tracer slice,而不是按文件或技术层机械拆分。
- 明确
blocked_by;没有依赖的 Slice 才能进入ready。 - 每个切片都指向 SPEC、相关 Action Contract 和验收证据。
- 切片的验收必须在它自己的 Scope 内可达。验收要求写 Scope 之外的文件,是
拆分错误,回到
plan重新划分边界,不要留给do去撞。 - 每个切片必须写
authority:——本切片所碰业务规则的唯一权威模块,按 Kernel 的 Architecture boundaries 填。既不引入也不修改业务规则时写n/a: <理由>;字段缺失不是有效答案。做成必填而非条件必填是有意的: 它强制这个判断被写下来、可复核,而不是默默不做。 但要清楚它保证什么——它保证有一个答案,不保证答案是对的。n/a仍然把 「这算不算业务规则」的分类交回写切片的人,而arrange只读意图、读不到 diff,核不了这个分类。核它的地方是check。 - Scope 含
do不拥有的文件时,frontmatter 必须写writer:。do拥有Code;learn拥有.spec-agents/state/KERNEL.md、CONTEXT.md、.spec-agents/state/STATUS.md、.spec-agents/state/EVIDENCE.md和docs/{adr,protocols,runbooks,lessons}/;capture拥有 SPEC 文档, 而 Slice 与 SPEC 的终态由learn在收尾写入。 - 被管项目中,安装进来的 doctrine 不属于任何动作,不能出现在任何切片的 Scope 里;需要改它就去改上游。
- 发现语义冲突时停止安排,回到
plan;不要在 Slice 中偷偷改本体。
写入位置
.spec-agents/specs/<feature>/issues/NN-<slug>.md
最小模板:
# <id> <goal>
status: ready | blocked | doing | done | stale
blocked_by:
writer: # Scope 含 do 不拥有的文件时必填
authority: # 必填:本切片所碰规则的唯一权威模块,或 `n/a: <理由>`
spec_ref:
context_ref:
evidence_ref:
## Goal
## Scope
## Acceptance
## Verification
## Evidence
先向用户展示切片数量和依赖边,再写入文件;用户未确认拆分时只输出草案。evidence_ref 保持为空,直到 learn 完成验证记录。
完成条件
每个 Slice 都有可观察目标、边界、依赖、验收、验证方式和 authority:;每个 Slice 的验收在它自己的 Scope 内可达,越界写入的已声明 writer:;没有跨 Slice 的隐含前置条件。
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.
- 4d ago Changed · +1 lines 5606f2eddde3
- 9d ago First seen · 67 lines · 59 tokens per session scan A 94646645c6f6
arrange is a skill published in the GitHub repository yibie/SPEC-AGENTS.md (127 stars, last pushed 7d ago), licensed MIT. It adds 59 tokens to every session and 904 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.
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