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delivery-evidence-closure

delivery-evidence-closure is a skill for Claude Code, Codex from protect-my-hair/nucleus-marketplace. It costs 33 tokens per session (1,644 once invoked), scanned A, original, MIT.

A controlled process for assembling delivery evidence from earlier Nucleus work into a candidate handover package and draft pull or merge request text. It only uses traceable records and requires task tracking and human review checkpoints.

In plain words
What is it for?
Use it to collect test and quality results, changed files, commit details, review records, and feature-task evidence for a human-reviewed delivery closure.
Why use it?
It prevents unsupported claims about completed development, testing, review, merging, or release, and exposes missing evidence before handover.

Skill for Claude CodeCodex

Written for Claude Code and Codex: SessionStart hook event, but also agents/openai.yaml present. Also seen: mentions subagents; names the TodoWrite tool; mentions Claude Code.

Part of the nucleus plugin — 27 skills, 1 agent, 1 hook shipped together

not rated 162repo 1mo ago A scan SkillSpector: pass 33 tokens original MIT

Good fit Use it to collect test and quality results, changed files, commit details, review records, and feature-task evidence for a human-reviewed delivery closure.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/protect-my-hair/nucleus-marketplace/delivery-evidence-closure
View source ↗ protect-my-hair/nucleus-marketplace
Install

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.

Any agent
npx skills add protect-my-hair/nucleus-marketplace --skill delivery-evidence-closure
Clone the repo
git clone --depth 1 https://github.com/protect-my-hair/nucleus-marketplace

Made for: Claude Code, Codex.

Or install nucleus, the plugin that ships this one along with the rest of its 27 skills, 1 agent, 1 hook.

Wrote 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.

agentmods badge for delivery-evidence-closure

README.md
[![agentmods](https://agentmods.dev/badge/skills/protect-my-hair/nucleus-marketplace/delivery-evidence-closure/github.svg)](https://agentmods.dev/skills/protect-my-hair/nucleus-marketplace/delivery-evidence-closure)
Your own site
<a href="https://agentmods.dev/skills/protect-my-hair/nucleus-marketplace/delivery-evidence-closure"><img src="https://agentmods.dev/badge/skills/protect-my-hair/nucleus-marketplace/delivery-evidence-closure/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.

agentmods 80×15 button for delivery-evidence-closure

Your own site · 80×15
<a href="https://agentmods.dev/skills/protect-my-hair/nucleus-marketplace/delivery-evidence-closure"><img src="https://agentmods.dev/badge/skills/protect-my-hair/nucleus-marketplace/delivery-evidence-closure.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,644 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00033 $0.01644
Opus 5 $0.00016 $0.00822
Sonnet 5 $0.00007 $0.00329
Haiku 4.5 $0.00003 $0.00164

Measured 12d ago against content hash dfeb5c711699, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

delivery-evidence-closure 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/delivery_evidence_closure.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

plugins/nucleus/skills/delivery-evidence-closure/SKILL.md · 82 lines

How it starts

The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Delivery Evidence Closure

前置：使用本 Skill 前，先按 using-nucleus 完成 Nucleus 入口识别（Claude Code 会话由插件 SessionStart hook 自动注入该纪律）。

当 coding agent 需要汇总交付证据、准备可供人工审查的交付收口材料时使用本 Skill。

核心原则

交付收口只能汇总已经发生且可追溯的证据；它不能补造开发完成、人工 PR/MR 审查、合入或发布事实。

未创建宿主 todo/task 任务包，不得生成 delivery closure candidate、PR/MR draft 或 result package。

到达 delivery-closure-review 人审点时，按 _shared/references/subagent-precheck-protocol.md 执行 subagentPreReview 子代理预审；未取得“材料可提交人工审查”结论前，不得请求人工交付评审。

Checklist

启动本 Skill 后，必须先为以下每一项创建宿主 todo/task，并按顺序执行；Codex 使用计划 / 任务工具，Claude Code 使用 TodoWrite 或等价宿主 todo。每完成、阻塞、等待 review 或需要复核一项，都必须逐项更新状态。

  1. 读取 prior result：读取明确的 prior result package 和 .nucleus/context/<workflowRunId>.json；缺可信 result 时 ALERT_AND_BLOCK。
  2. 创建宿主任务包：把本 checklist 同步成当前会话的宿主 todo/task；未同步前不得生成 closure candidate 或 PR/MR draft。
  3. 收集交付证据：读取 quality gate、test report、git changed files、commit metadata 和相关 review evidence。
  4. 校验特性任务包完整性：确认每个 feature task package 都有设计、设计评审、实施计划、spec anchor、计划确认、实现、验证、multi-review、整改和整改复核证据。
  5. 重算 spec compliance：读取每个特性的 specAnchor 和 feature-development/spec-compliance-evidence.json 正文，按 changed files 重新计算 applicable rules、required evidence、UI design coverage 和公共组件 / 公共样式证据；缺 spec anchor、factsManifestHash stale、报告正文为空、blocking rule 证据缺失、UI frame 仍是 pending-export 或 required UI 缺截图 / 视觉证据时 ALERT_AND_BLOCK。
  6. 阻塞缺失证据：任何关键证据缺失时 ALERT_AND_BLOCK；不得用 summary、result 或 PR/MR draft 补造事实。
  7. 生成收口候选：只生成 delivery closure candidate 和 PR/MR description draft；draft 只是待审文本。
  8. 等待交付人工评审：到达人审点时按 _shared/references/subagent-precheck-protocol.md 执行 subagentPreReview，确认材料可提交人工审查后，再按 _shared/references/interaction-format.md 的确认型格式向用户或 PMS 呈现：先给结论（本次完成了什么、变更范围、测试状态），再展开候选材料、PR/MR draft 和缺口；缺 delivery-closure-review 时 STOP。
  9. 写入结果证据：构建 result package；delivery closure candidate、PR/MR draft、summary 和 result 不能替代宿主任务或人工 review，也不代表 PR/MR 已创建、已审查、已合入或已发布。

Read the full file on GitHub · 82 lines

Files

What ships with it

7 files 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.

Changes

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.

  1. 12d ago First seen · 82 lines · 33 tokens per session scan A dfeb5c711699

Subscribe to this mod's changes

delivery-evidence-closure is a skill published in the GitHub repository protect-my-hair/nucleus-marketplace (162 stars, last pushed 1mo ago), licensed MIT. It adds 33 tokens to every session and 1,644 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.

Git and workflowPlanningReleases
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