openprd-experience-quality-candidate-eval-20260607145749

openprd-experience-quality-candidate-eval-20260607145749 is a skill for Claude Code, Codex from mileson/openprd. It costs 36 tokens per session (933 once invoked), scanned A, original, MIT.

A draft project guide for deciding when to preserve lessons from quality checks as reusable project knowledge.

In plain words
What is it for?
Use it when changes affect an agent, harness, hook, or quality workflow and the work reveals reusable symptoms or root causes. It helps record verification steps and quality evidence for similar tasks.
Why use it?
It helps prevent recurring quality gaps from being handled only in the current conversation. It brings checks, tests, safeguards, and lessons together for later work.

Skill for Claude CodeCodex

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

Good fit Use it when changes affect an agent, harness, hook, or quality workflow and the work reveals reusable symptoms or root causes. It helps record verification steps and quality evidence for similar tasks.

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Install with agentmods
npx agentmods add skills/mileson/openprd/openprd-experience-quality-candidate-eval-20260607145749
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-quality-candidate-eval-20260607145749
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-quality-candidate-eval-20260607145749

README.md
[![agentmods](https://agentmods.dev/badge/skills/mileson/openprd/openprd-experience-quality-candidate-eval-20260607145749/github.svg)](https://agentmods.dev/skills/mileson/openprd/openprd-experience-quality-candidate-eval-20260607145749)
Your own site
<a href="https://agentmods.dev/skills/mileson/openprd/openprd-experience-quality-candidate-eval-20260607145749"><img src="https://agentmods.dev/badge/skills/mileson/openprd/openprd-experience-quality-candidate-eval-20260607145749/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-quality-candidate-eval-20260607145749"><img src="https://agentmods.dev/badge/skills/mileson/openprd/openprd-experience-quality-candidate-eval-20260607145749.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 933 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 $0.00036 $0.00933
Opus 5 $0.00018 $0.00466
Sonnet 5 $0.00007 $0.00187
Haiku 4.5 $0.00004 $0.00093

Measured 11d ago against content hash 79fac3848673, 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-quality-candidate-eval-20260607145749 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-quality-candidate-eval-20260607145749/SKILL.md · 74 lines

What it actually says

openprd-experience-quality-candidate-eval-20260607145749

状态:draft 候选目录:.openprd/knowledge/candidates/candidate-eval-20260607145749 Promote:openprd quality . --learn --from .openprd/knowledge/candidates/candidate-eval-20260607145749

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。
  • feature-coverage
  • 症状: 质量门禁需要关注: feature-coverage
  • doctor-green: doctor passed
  • dev-check: dev-check attention=2, warning=2 | touched: src/loop.js, src/cli/args.js, src/openprd.js, src/cli/run-print.js, src/standards.js, src/openspec/change-validate.js
  • dev-check: dev-check attention=2, warning=4 | touched: src/visual-prepare.js, src/cli/args.js, src/cli/print.js, src/cli/quality-print.js, src/openprd.js, src/agent-integration.js

适用范围

  • 抽象模式: 质量缺口反复出现,通常是因为可观测性、护栏、测试与复盘知识被分散维护,没有进入同一套项目级诊断闭环。
  • 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。
  • 适用于本轮补过验证或测试夹具,后续同类需求需要同步复用验证方式的任务。
  • 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: 质量门禁收口(feature-coverage)
  • 相关文件: src/loop.js、src/cli/args.js、src/openprd.js、src/cli/run-print.js、src/standards.js、src/openspec/change-validate.js
  • 已有证据类型: quality-report
  • 验证信号: doctor-green、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: doctor passed
  • 可复用的验证链路与收尾动作

下次触发时先看什么

  • src/loop.js
  • src/cli/args.js
  • src/openprd.js
  • src/cli/run-print.js
  • src/standards.js
  • src/openspec/change-validate.js
  • test/helpers/openprd-test-helpers.js
  • test/openprd-discovery-changes.test.js
  • .openprd/quality/reports/eval-20260607145749.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。
  • 如果当前任务还没进入验证或收尾阶段,不要把这条经验当成通用实现模板。
  • 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

  • 质量门禁未闭环: feature-coverage

验证方式

  • doctor passed
  • dev-check attention=2, warning=2
  • dev-check attention=2, warning=4
  • 运行 openprd quality . --verify 并确认需要关注的门禁已经闭环。
  • 打开 HTML 报告,核对证据链、评估结论和后续动作是否一致。
  • 重新执行任务级 verify 命令,并把最终证据路径保留在质量报告里。
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 · 74 lines · 36 tokens per session scan A 79fac3848673

Subscribe to this mod's changes

openprd-experience-quality-candidate-eval-20260607145749 is a skill published in the GitHub repository mileson/openprd (50 stars, last pushed 3d ago), licensed MIT. It adds 36 tokens to every session and 933 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.