Agent skill

Nucleus Delivery Evidence Finalizer

by protect-my-hair in protect-my-hair/nucleus-marketplace

Combines the evidence from completed Nucleus workflow steps into a final evidence report and result package, without scheduling steps, updating trackers or opening pull requests.

MITAuto-check passedAgent Workflows

SKILL.md written in Chinese; this summary is our English description.

Install Nucleus Delivery Evidence Finalizer

skills CLI
$ npx skills add protect-my-hair/nucleus-marketplace --skill delivery-workflow-integration -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install protect-my-hair/nucleus-marketplace delivery-workflow-integration --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/protect-my-hair/nucleus-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/nucleus/skills/delivery-workflow-integration .claude/skills/delivery-workflow-integration && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
delivery-workflow-integration
GitHub stars
164
Token cost
~454 tokens
SKILL.md length
85 words
Files
8 (incl. scripts, references, assets)
Skills in repo
18
Repo updated
First seen
Licence
MIT

At a glance

Combines the evidence from completed Nucleus workflow steps into a final evidence report and result package, without scheduling steps, updating trackers or opening pull requests.

  • Producing the final evidence report after all steps of a Nucleus delivery run finish
  • SKILL.md covers 边界, 人审前子代理预审 and Runtime
  • Runs Python scripts from its folder; calls python3
  • Merging step results into a single result package for human review

What it does

This skill is the last stage of a Nucleus approved-write delivery workflow. It reads the run's context file, the integration manifest and a stable copy of each step's result evidence from the target repository's .nucleus folder, then writes three outputs: a final evidence report in JSON, the same report in Markdown, and the run's result.json. It does not schedule other skills, write requirement docs, update the PMS, create PRs or merge requests, or commit and push.

Strict path rules apply. Step results must sit in the run's integration steps folder, not reuse the final result file, and every referenced path must stay inside that run's folders or its tests folder. Absolute paths, parent-directory segments, other runs' paths, certain tool folders and symlink escapes are blocked. If any required step or blocking gate failed, the final status is FAILED_BLOCKED; otherwise it is fixed at NEEDS_HUMAN_REVIEW. Before asking for human approval, an independent reviewer subagent must give a pre-review conclusion. A bundled Python script, delivery_workflow_integration.py, runs the finalize command. The skill text is in Chinese.

When your agent uses it

  • Producing the final evidence report after all steps of a Nucleus delivery run finish
  • Merging step results into a single result package for human review
  • Checking whether a run is blocked by a failed required step or gate

Example prompts

  • “Finalize the evidence for this Nucleus delivery run and write the final report.”
  • “Why did the integration step end as FAILED_BLOCKED for this workflow run?”
  • “Check that every path referenced by the step results stays inside the run folder.”

Requirements

  • Python 3
  • A target repository with the run's .nucleus context and step result files

What it can do on your machine

Read from SKILL.md and the folder at commit 3c82085. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Nucleus Delivery Evidence Finalizer loads about 454 tokens when it runs, and up to ~1.1k if it reads all its reference files. Until then it costs about 47 tokens; SKILL.md has 85 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~47
When it runs · the whole SKILL.md, loaded when a task matches
~454
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from protect-my-hair/nucleus-marketplace at commit 3c82085, republished under its MIT licence (© protect-my-hair). 85 words, ~454 tokens.

Download SKILL.mdSave it as .claude/skills/delivery-workflow-integration/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
delivery-workflow-integration
description
Nucleus V2 approved-write 交付 workflow evidence finalizer。用于聚合已完成的 step result evidence,生成 final evidence report 和最终 result package;不调度全链路、不回写 PMS、不创建 PR/MR。

Delivery Workflow Integration

本 Skill 只做 approved-write evidence integration finalizer。它读取目标仓库中的 .nucleus/context/<workflowRunId>.json、.nucleus/runs/<workflowRunId>/integration/integration-manifest.json 和每个 step 的稳定 result evidence copy,然后写:

  • .nucleus/runs/<workflowRunId>/integration/final-evidence-report.json
  • .nucleus/runs/<workflowRunId>/integration/final-evidence-report.md
  • .nucleus/runs/<workflowRunId>/result.json

边界

  • 不实现完整 Workflow Engine,不自动调度其他 Skill。
  • 不写 docs/requirement/**,不回写 PMS,不创建 PR/MR,不 commit/push。
  • Step result 必须位于 .nucleus/runs/<workflowRunId>/integration/steps/*-result.json,不得直接复用 .nucleus/runs/<workflowRunId>/result.json。
  • 所有 referenced paths 必须位于 .nucleus/runs/<workflowRunId>/** 或 .nucleus/tests/<workflowRunId>/**。
  • .autocode/**、.claude/notepads/**、docs/bugfix/**、absolute path、..、other-run path、symlink output escape 均阻塞。
  • 任一 required step FAILED_BLOCKED 或 blocking gate failed/blocked,最终 status 为 FAILED_BLOCKED;否则 approved-write 固定 NEEDS_HUMAN_REVIEW。

人审前子代理预审

每个 integration review / approval 点请求人工确认前,必须按对应 subagentPreReview 调度独立 reviewer 子代理;未取得“材料可提交人工审查”预审结论时,不得请求人工评审通过。

Runtime

bash
python3 skills/delivery-workflow-integration/scripts/delivery_workflow_integration.py finalize \
  --repo-root <target-repo> \
  --context <target-repo>/.nucleus/context/<workflowRunId>.json \
  --manifest <target-repo>/.nucleus/runs/<workflowRunId>/integration/integration-manifest.json

runtime 只依赖随 skills/ 分发的 _shared/nucleus_runtime、本 Skill assets/ 和 references/,不得 import 根目录 harness/。

© protect-my-hair, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 7 other files (scripts, references, assets) in plugins/nucleus/skills/delivery-workflow-integration of protect-my-hair/nucleus-marketplace.

  • SKILL.md
  • agents/openai.yaml
  • assets/final-evidence-report-template.md
  • assets/nucleus-delivery-integration-manifest.schema.json
  • references/blocker-matrix.md
  • references/integration-boundary.md
  • references/result-merge-policy.md
  • scripts/delivery_workflow_integration.py

Open the folder on GitHubat commit 3c82085

Compare with similar skills

Nucleus Delivery Evidence Finalizer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Nucleus Delivery Evidence Finalizer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Nucleus Delivery Evidence Finalizer this skillprotect-my-hair/nucleus-marketplace164—~454Automated safety check: PassMIT
AutoMCM-Pro for opencodeRealSeaberry/AutoMCM-Pro257—~1.2kAutomated safety check: PassMIT
Cline Pilotsickn33/agentic-awesome-skills47k1 repos~4.6kAutomated safety check: PassMIT
Sol and Luna Worker Routermajiayu000/spellbook287—~3.3kAutomated safety check: PassMIT
Show Me Your Work Decision Logcursor/plugins11k8 repos~1.6kAutomated safety check: PassNone
PUA High-Agency Governancetanweai/pua20k—~502Automated safety check: PassMIT

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Works with

Questions about Nucleus Delivery Evidence Finalizer

What does Nucleus Delivery Evidence Finalizer do?

Combines the evidence from completed Nucleus workflow steps into a final evidence report and result package, without scheduling steps, updating trackers or opening pull requests. This skill is the last stage of a Nucleus approved-write delivery workflow.json.

When should I use Nucleus Delivery Evidence Finalizer?

Nucleus Delivery Evidence Finalizer fits situations like: producing the final evidence report after all steps of a Nucleus delivery run finish; merging step results into a single result package for human review; checking whether a run is blocked by a failed required step or gate.

How do I install Nucleus Delivery Evidence Finalizer in Claude Code?

Run `npx skills add protect-my-hair/nucleus-marketplace --skill delivery-workflow-integration -a claude-code`. Or copy the skill folder (plugins/nucleus/skills/delivery-workflow-integration in protect-my-hair/nucleus-marketplace) into .claude/skills/delivery-workflow-integration in your project. Claude Code loads it when a task matches its description.

How do I install Nucleus Delivery Evidence Finalizer in Codex?

Run `npx skills add protect-my-hair/nucleus-marketplace --skill delivery-workflow-integration -a codex`. Or copy the skill folder (plugins/nucleus/skills/delivery-workflow-integration in protect-my-hair/nucleus-marketplace) into .agents/skills/delivery-workflow-integration in your project. Codex loads it when a task matches its description.

Can I use Nucleus Delivery Evidence Finalizer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add protect-my-hair/nucleus-marketplace --skill delivery-workflow-integration -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/delivery-workflow-integration, .gemini/skills/delivery-workflow-integration, .github/skills/delivery-workflow-integration and .opencode/skills/delivery-workflow-integration in your project.

What does Nucleus Delivery Evidence Finalizer need to run?

Going by SKILL.md and its folder, Nucleus Delivery Evidence Finalizer needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3; A target repository with the run's .nucleus context and step result files.

Does Nucleus Delivery Evidence Finalizer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Nucleus Delivery Evidence Finalizer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Nucleus Delivery Evidence Finalizer use?

Nucleus Delivery Evidence Finalizer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Nucleus Delivery Evidence Finalizer use?

About 454 tokens (SKILL.md is roughly 1.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 662 tokens, read only when the agent opens those files.

What are the alternatives to Nucleus Delivery Evidence Finalizer?

Skills that share tags, products or a category with Nucleus Delivery Evidence Finalizer: AutoMCM-Pro for opencode (RealSeaberry/AutoMCM-Pro, 257 stars), Cline Pilot (sickn33/agentic-awesome-skills, 47k stars), Sol and Luna Worker Router (majiayu000/spellbook, 287 stars) and Show Me Your Work Decision Log (cursor/plugins, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Nucleus Delivery Evidence Finalizer?

protect-my-hair (a GitHub user) maintains it in protect-my-hair/nucleus-marketplace, which has 164 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on July 23, 2026.

Source: protect-my-hair/nucleus-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.