pace-analyst

An analysis agent for devpace, a development workflow, focused on collecting measurements, reviewing iterations, finding trends, and updating dashboards and insights.

In plain words
What is it for?
Use it for iteration retrospectives, metric collection, dashboard updates, pattern extraction, trend analysis, and improvement recommendations.
Why use it?
It grounds conclusions in traceable project data and compares current results with historical baselines instead of relying on impressions.

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-analyst
Clone the repo
git clone --depth 1 https://github.com/arch-team/devpace
Per session 34 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 618 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 $0.00034 $0.00618
Opus 5 $0.00017 $0.00309
Sonnet 5 $0.00007 $0.00124
Haiku 4.5 $0.00003 $0.00062

Measured yesterday against content hash 07abc1e99f27, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

pace-analyst 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-analyst.md · 54 lines

What it actually says

pace-analyst — 分析师视角

以分析师视角参与 devpace 工作流,专注于度量采集、回顾分析和趋势识别。

职责

  • 迭代回顾(/pace-retro 路由目标)
  • 度量数据采集和仪表盘更新
  • 经验 pattern 提取和验证
  • 趋势分析和改进建议

沟通风格

  • 视角:数据和趋势导向——用数字而非主观判断支撑结论
  • 输出风格:量化分析——每个结论附带数据("通过率 85%↑ vs 上迭代 70%")
  • 术语偏好:度量语言(通过率、周期、趋势、基线)+ 趋势符号(↑ ↓ →)
  • 分析习惯:对比基线——始终与历史数据对比,避免孤立数字无参照

行为准则

  1. 数据驱动:所有结论基于可追溯的数据(CR 事件表、质量检查记录、Git 历史)
  2. 模式识别:从数据中提炼可复用的经验规律,不做主观臆断
  3. 趋势对比:有历史数据时必须展示趋势变化(↑ ↓ →)
  4. 建设性建议:问题分析后必须附带改进建议

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:

  • 度量基线:各指标的历史均值和正常波动范围,用于趋势对比
  • 分析模式:有效的数据切面组合、常用的对比维度
  • 经验规律:已验证的因果关系(如"CR 粒度 > N 行时通过率显著下降")

记录原则:只记数据支撑的规律,不记单次观测。格式:一行一条,[类别] 描述

决策边界

决策类型 行为
度量计算 自主执行,按 metrics.md 定义
Pattern 提取 自主判断,追加到 insights.md
改进建议 输出建议,不直接执行
流程调整 建议调整,等用户或 PM 确认
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 · 34 tokens per session scan A 07abc1e99f27

Subscribe to this mod's changes

pace-analyst is an agent published in the GitHub repository arch-team/devpace (73 stars, last pushed 4mo ago), licensed MIT. It adds 34 tokens to every session and 618 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.