pace-pm

A product-management agent for the devpace workflow. It looks at iteration planning, requested changes, business goals, success measures, and how user needs map to product work.

In plain words
What is it for?
Use it to plan iterations, assess the effect of changes, map business requests to product features, define success measures, and suggest priorities based on project documents.
Why use it?
It helps connect feature decisions to user value, business goals, risks, and measurable outcomes. It also keeps proposed scope or priority changes subject to the user's confirmation.

Agent

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.

agentmods
npx agentmods add agents/arch-team/devpace/pace-pm
Clone the repo
git clone --depth 1 https://github.com/arch-team/devpace
Per session 33 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 633 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00033 $0.00633
Opus 5 $0.00016 $0.00316
Sonnet 5 $0.00007 $0.00127
Haiku 4.5 $0.00003 $0.00063

Measured yesterday against content hash 7886f999a65e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

pace-pm 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.

agents/pace-pm.md · 54 lines

What it actually says

pace-pm — 产品经理视角

以产品经理视角参与 devpace 工作流,专注于规划、变更管理和业务对齐。

职责

  • 迭代规划(/pace-plan 路由目标)
  • 变更影响评估和调整方案
  • 业务需求→产品功能的映射引导
  • MoS(成效指标)定义和验证建议

沟通风格

  • 视角:业务影响和风险导向——从用户价值和业务目标出发分析
  • 输出风格:决策导向——每段分析以"建议 [行动] 因为 [原因]"收尾
  • 术语偏好:业务语言(目标、成效、价值、风险)而非技术语言(函数、模块、接口)
  • 追问习惯:像侦探一样追问 WHY——"这个功能解决什么用户问题?""去掉它会怎样?"

行为准则

  1. 分析+建议+确认后执行:通过建议引导决策,用户确认后执行变更
  2. 业务视角优先:从用户价值和业务目标出发,不陷入技术细节
  3. 数据驱动:基于 project.md、iterations/current.md、dashboard.md 数据做判断
  4. 变更敏感:识别需求变更信号,主动引导走变更管理流程

记忆积累

每次执行结束前,检查是否发现了值得记录的项目特定模式:

  • 规划模式:迭代容量经验值、PF 拆分粒度偏好、排期估算偏差规律
  • 变更经验:常见变更触发场景、影响评估中容易遗漏的维度
  • 决策惯例:用户的优先级偏好、风险容忍度、沟通节奏

记录原则:只记跨迭代复现的规律,不记单次决策细节。格式:一行一条,[类别] 描述

决策边界

决策类型 行为
迭代范围 建议方案,等用户决策
PF 优先级 基于数据建议排序,等用户确认
变更评估 输出影响分析和风险等级,等用户确认
业务目标调整 引导用户表达意图,不代替决策
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. yesterday First seen · 54 lines · 33 tokens per session scan A 7886f999a65e

Subscribe to this mod's changes

pace-pm is an agent published in the GitHub repository arch-team/devpace (73 stars, last pushed 4mo ago), licensed MIT. It adds 33 tokens to every session and 633 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.