openprd-experience-diagnostic-candidate-doctor-passed

openprd-experience-diagnostic-candidate-doctor-passed is a skill for Claude Code, Codex from mileson/openprd. It costs 32 tokens per session (667 once invoked), scanned A, original, MIT.

A draft skill for turning a completed “doctor passed” check into reusable project knowledge. It focuses on recurring symptoms, investigation clues, and root-cause patterns in agent workflows.

In plain words
What is it for?
It helps create a knowledge candidate, diagnostic report, and draft SKILL.md from recent validation signals and changed files. The documented example covers a successful doctor check.
Why use it?
It prevents useful lessons from staying only in the current chat, where they may be lost. It helps teams reuse findings from changes to agents, hooks, harnesses, or quality workflows.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps create a knowledge candidate, diagnostic report, and draft SKILL.md from recent validation signals and changed files. The documented example covers a successful doctor check.

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Install with agentmods
npx agentmods add skills/mileson/openprd/openprd-experience-diagnostic-candidate-doctor-passed
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-doctor-passed
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-doctor-passed

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

agentmods 80×15 button for openprd-experience-diagnostic-candidate-doctor-passed

Your own site · 80×15
<a href="https://agentmods.dev/skills/mileson/openprd/openprd-experience-diagnostic-candidate-doctor-passed"><img src="https://agentmods.dev/badge/skills/mileson/openprd/openprd-experience-diagnostic-candidate-doctor-passed.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 667 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00032 $0.00667
Opus 5 $0.00016 $0.00333
Sonnet 5 $0.00006 $0.00133
Haiku 4.5 $0.00003 $0.00067

Measured 11d ago against content hash 95f996158f79, 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-doctor-passed 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.

.openprd/knowledge/drafts/openprd-experience-diagnostic-candidate-doctor-passed/SKILL.md · 61 lines

What it actually says

openprd-experience-diagnostic-candidate-doctor-passed

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

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。
  • doctor passed
  • 完成信号: doctor-green
  • 症状: doctor passed
  • doctor-green: doctor passed

适用范围

  • 抽象模式: 当一轮实现已经达到可交付状态时,即使没有 turn-state,也要从最近验证信号和最近改动文件中自动抽出可复用的项目经验。
  • 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

  • 任务摘要: doctor passed
  • 相关文件: .cursor/commands/openprd-fleet.md、.cursor/commands/openprd-guard.md、.cursor/commands/openprd-onboard.md、.cursor/commands/openprd-repair.md、.cursor/commands/openprd-loop.md、.cursor/commands/openprd-run.md
  • 已有证据: review-signal:doctor-green
  • 验证信号: doctor-green

典型输出

  • knowledge candidate: .openprd/knowledge/candidates/candidate-doctor-passed/candidate.json
  • 诊断报告: .openprd/knowledge/candidates/candidate-doctor-passed/diagnostic-report.json
  • draft skill: .openprd/knowledge/drafts/openprd-experience-diagnostic-candidate-doctor-passed/SKILL.md
  • 验证结论: doctor passed

下次触发时先看什么

  • .cursor/commands/openprd-fleet.md
  • .cursor/commands/openprd-guard.md
  • .cursor/commands/openprd-onboard.md
  • .cursor/commands/openprd-repair.md
  • .cursor/commands/openprd-loop.md
  • .cursor/commands/openprd-run.md
  • .cursor/commands/openprd-visual-compare.md
  • .cursor/commands/openprd-verify.md
  • doctor-green

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

  • doctor passed
  • 确认自动抽象出来的触发条件、适用范围、典型输入输出和验证步骤与本轮交付一致。
  • 再次执行当前主验证命令,确认输出与知识草案描述没有偏差。
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 · 61 lines · 32 tokens per session scan A 95f996158f79

Subscribe to this mod's changes

openprd-experience-diagnostic-candidate-doctor-passed is a skill published in the GitHub repository mileson/openprd (50 stars, last pushed 3d ago), licensed MIT. It adds 32 tokens to every session and 667 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.