Pigou Wu

推进中中优先级agentic-engineering

Harness Skill v2

智能体团队系统，实现从 PRD 到部署的全流程自动化。

Progress

63%

进度63%

updated / 2026-06-28

Signal Brief

Narrow

State

正在推进 / 63%。

Risk

no code insight

wiki gap / package.json could not be found or parsed.

Verdict

Narrow

make it smaller

Recent

GitHub / 2026-04-02 / PIGU-PPPgu/harness-skill-v2
wiki / 今天 / 26 files
stack / Python

Source

source

local signals

progress

63%

health

open tasks

repo pushed

2026-04-02

wiki snapshot

2026-06-27

Goals

1建立 PRD 到部署的流水线
2集成质量检查工具
3沉淀多智能体工程协作规范

01Generate LLM code insights for the most important source files.
02Clarify runtime stack and entrypoint because package metadata is missing.
03Add one approved public screenshot or product surface image.

Links

GitHub

Health

watch

health score

product63

AI progress / project progress

momentum42

updates / doing / logs / open tasks

clarity48

README / media / wiki / code

evidence48

shipped / snapshot / media / confidence

risk86

waiting / stale / AI risks

Watch

no code insight
no public media

Priority

algorithm / sync-worker-priority-signal-engine / medium

Now

中优先级

低优先级

Score

综合分 33/100，建议为 low。这个值来自任务紧急度、近期动量、战略相关性、成熟/影响证据和停滞惩罚；它只是候选建议，只有 apply 后才会改项目 priority。

generated / 2026-06-28

urgency0/100

Open P0/P1 tasks and active doing items.

momentum10/100

Recent repository pushes, project updates, and log activity.

strategic_fit38/100

Current lifecycle state plus Pigou OS/workflow/life-state relevance.

maturity_or_impact13/100

Progress, shipped/use signals, screenshots, and repository scale.

staleness_penalty0/100

Paused, archived, or stale projects should cool down unless other signals are strong.

依据 / 5

no open linked tasks
repo files: 26
last push: 2026-04-02
strategic OS/workflow signal in project text
progress evaluation: 63% building

Progress AI

algorithm / sync-worker-signal-engine / medium

GitHub sync processed; Pigou OS refreshed the project wiki, progress, status, and sync log signals from repository evidence.

The sync pipeline applied local repository, wiki, task, image, and log signals after refreshing GitHub data.

generated / 2026-06-28

product_readiness16/25

Project status, launch wording, and product surface signals.

technical_completeness10/20

Repository file count, framework, entrypoint, module, and code insight signals.

usage_validation4/25

Launch/use wording, screenshots, and visible product proof.

documentation_knowledge6/15

Project notes, README summary, and wiki/code insight completeness.

momentum2/15

Recent push, linked work items, and project log activity.

Evidence / 3

repo files: 26
last push: 2026-04-02
frameworks: Python

Risk / 2

package.json could not be found or parsed.
No LLM code insight snapshot has been generated yet. Run pnpm sync:wiki -- --with-llm.

Next / 3

Generate LLM code insights for the most important source files.
Clarify runtime stack and entrypoint because package metadata is missing.
Add one approved public screenshot or product surface image.

DeepWiki

高置信indexed

Purpose

你有没有遇到这种情况：把任务丢给 Claude Code 或 Codex，它写了一堆代码，但因为不了解你的仓库结构、不知道你的架构约束、不清楚当前在做什么，写出来的东西偏了方向，或者需要大量反复纠正？

Structure

Python project with 26 indexed file(s).

Entry

README.md

Next scan

package.json could not be found or parsed.
No LLM code insight snapshot has been generated yet. Run pnpm sync:wiki -- --with-llm.
Generate LLM code insights for the most important source files.
Clarify runtime stack and entrypoint because package metadata is missing.

Facts

Repository: PIGU-PPPgu/harness-skill-v2
Default branch: main
Indexed files: 26
Primary language: Python
Frameworks: Python
Last pushed: 2026-04-02
Snapshot: 2026-06-27

GitHub repo Open DeepWiki

Repo

files

frameworks

Python

1Generate per-file summaries for important source files.
2Connect modules to project goals and next actions.
3Detect stale README sections by comparing code signals with project description.
4Persist historical wiki snapshots to show architecture drift.

Modules