openprd-experience-diagnostic-candidate-eval-20260609011842

openprd-experience-diagnostic-candidate-eval-20260609011842 is a skill for Claude Code, Codex from mileson/openprd. It costs 37 tokens per session (950 once invoked), scanned A, a copy of openprd-experience-diagnostic-candidate-eval-20260607145749, MIT.

A draft project guide for recording verified findings from agent and development workflows as reusable project knowledge.

In plain words
What is it for?
Use it after run verification, quality verification, or development checks. It helps capture the evidence, verification chain, and files to inspect during similar future work.
Why use it?
It helps keep recurring diagnostic patterns and verification steps from being lost after a task ends. It also flags when a quality coverage record is still incomplete.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Codex.

Good fit Use it after run verification, quality verification, or development checks. It helps capture the evidence, verification chain, and files to inspect during similar future work.

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Install with agentmods
npx agentmods add skills/mileson/openprd/openprd-experience-diagnostic-candidate-eval-20260609011842
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 mileson/openprd --skill openprd-experience-diagnostic-candidate-eval-20260609011842
Clone the repo
git clone --depth 1 https://github.com/mileson/openprd

Made for: Claude Code, Codex.

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 openprd-experience-diagnostic-candidate-eval-20260609011842

README.md
[![agentmods](https://agentmods.dev/badge/skills/mileson/openprd/openprd-experience-diagnostic-candidate-eval-20260609011842/github.svg)](https://agentmods.dev/skills/mileson/openprd/openprd-experience-diagnostic-candidate-eval-20260609011842)
Your own site
<a href="https://agentmods.dev/skills/mileson/openprd/openprd-experience-diagnostic-candidate-eval-20260609011842"><img src="https://agentmods.dev/badge/skills/mileson/openprd/openprd-experience-diagnostic-candidate-eval-20260609011842/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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/mileson/openprd/openprd-experience-diagnostic-candidate-eval-20260609011842"><img src="https://agentmods.dev/badge/skills/mileson/openprd/openprd-experience-diagnostic-candidate-eval-20260609011842.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 950 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.
Origin 83% copy Near-identical to another mod 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 $0.00037 $0.00950
Opus 5 $0.00018 $0.00475
Sonnet 5 $0.00007 $0.00190
Haiku 4.5 $0.00004 $0.00095

Measured 11d ago against content hash 085ebb40e94c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

openprd-experience-diagnostic-candidate-eval-20260609011842 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 11d ago.

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.

Origin

This is a copy

83% identical to openprd-experience-diagnostic-candidate-eval-20260607145749 — 15 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.openprd/knowledge/drafts/openprd-experience-diagnostic-candidate-eval-20260609011842/SKILL.md · 78 lines

How it starts

The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.

openprd-experience-diagnostic-candidate-eval-20260609011842

状态:draft 候选目录:.openprd/knowledge/candidates/candidate-eval-20260609011842 Promote:openprd quality . --learn --from .openprd/knowledge/candidates/candidate-eval-20260609011842

触发条件

  • 本轮结果里已经出现可复用的症状、排查线索或根因模式,不应该只留在当前对话里。
  • 这次改动直接影响 Agent / harness / hook / skill 行为,后续很容易再次踩到同类判断问题。
  • 这次修复已经带有验证或收尾证据,适合尽快抽象成项目级研发经验。
  • run-verify
  • quality-verify
  • dev-check
  • doctor-green
  • 只回复 ok

适用范围

  • 抽象模式: 同类故障通常会先在 runtime-events、timeline、root-cause-candidates 和 diagnostic-report 中留下证据。只要实现阶段就把这些结构化诊断面铺好,后续多数问题都能先靠现有证据定位,而不是临时补日志。
  • 适用于项目源码或核心流程已经落地、需要把实现经验固化为项目知识的任务。
  • 特别适用于 Agent、hook、harness、quality 或 growth 工作流改动,避免下次再次靠聊天上下文兜底。

典型输入

  • 任务场景: run-verify
  • 相关文件: package.json、scripts/dev-check-wrapup-copy.mjs、scripts/openprd-codex-isolated-worker.mjs、scripts/openprd-dev-check.mjs、scripts/openprd-github-release-notes.mjs、scripts/openprd-review-presentation.mjs
  • 已有证据类型: diagnostic-report
  • 验证信号: run-verify、quality-verify、dev-check

典型输出

  • 项目经验候选与诊断包
  • 待确认的项目经验草案
  • 验证结论: run verify task-ready with workspace attention: feature-coverage ledger remains open
  • 可复用的验证链路与收尾动作

下次触发时先看什么

  • package.json
  • scripts/dev-check-wrapup-copy.mjs
  • scripts/openprd-codex-isolated-worker.mjs
  • scripts/openprd-dev-check.mjs
  • scripts/openprd-github-release-notes.mjs
  • scripts/openprd-review-presentation.mjs
  • scripts/quality-perf-check.mjs
  • src/agent-integration.js
  • src/benchmark/constants.js
  • src/benchmark/operations.js
  • src/benchmark/registry.js
  • .openprd/harness/turn-state.json

不要直接套用

  • 如果只是文件名、路径或个别词相似,但当前目标和验证方式不同,不要直接套用。
  • 如果当前问题没有出现相似症状、事件或证据入口,不要因为改到相似模块就直接照搬旧结论。
  • 如果本轮已经有更新的现场证据,先核对新证据,再决定是否复用旧经验。

可复用模式

  • 先按本轮诊断线索复走一次,再补最小必要证据。

验证方式

  • run verify task-ready with workspace attention: feature-coverage ledger remains open
  • quality needs-attention
  • dev-check attention=2, warning=3
  • 复现一次同类路径,确认新的诊断包仍能导出 runtime-events、timeline、root-cause-candidates 和 diagnostic-report。
  • 重点核对 run-verify -> quality-verify -> dev-check 的顺序是否符合预期。
  • 修复后再次执行同一路径,确认时间线不再在历史失败断点中断。
  • 把最终诊断包与质量报告一起归档,确保后续 Agent 能直接复用已有排查路径。

Read the full file on GitHub · 78 lines

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. 11d ago First seen · 78 lines · 37 tokens per session scan A 085ebb40e94c

Subscribe to this mod's changes

openprd-experience-diagnostic-candidate-eval-20260609011842 is a skill published in the GitHub repository mileson/openprd (50 stars, last pushed 3d ago), licensed MIT. It adds 37 tokens to every session and 950 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 83% identical to openprd-experience-diagnostic-candidate-eval-20260607145749, differing in 15 lines, and is treated as a copy.