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.
npx skills add mileson/openprd --skill openprd-experience-diagnostic-candidate-doctor-passedgit clone --depth 1 https://github.com/mileson/openprdWrote 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.
[](https://agentmods.dev/skills/mileson/openprd/openprd-experience-diagnostic-candidate-doctor-passed)<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.
<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>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once 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 |
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.
What it actually says
openprd-experience-diagnostic-candidate-doctor-passed
状态:draft 候选目录:
.openprd/knowledge/candidates/candidate-doctor-passedPromote: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.mddoctor-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。
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.
- 11d ago First seen · 61 lines · 32 tokens per session scan A 95f996158f79
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.
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