openprd-experience-quality-candidate-eval-20260608160326

openprd-experience-quality-candidate-eval-20260608160326 is a skill for Claude Code, Codex from mileson/openprd. It costs 36 tokens per session (1,072 once invoked), scanned A, original, MIT.

A draft project-knowledge skill for capturing recurring quality and feature-coverage findings from development work.

In plain words
What is it for?
Use it to document affected workflows, check results, and validation evidence after changes to agents, design tools, or harnesses.
Why use it?
It helps future developers understand earlier warnings and fixes without depending on scattered project history.

Skill for Claude CodeCodex

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

Good fit Use it to document affected workflows, check results, and validation evidence after changes to agents, design tools, or harnesses.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mileson/openprd/openprd-experience-quality-candidate-eval-20260608160326
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-20260608160326
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-20260608160326

README.md
[![agentmods](https://agentmods.dev/badge/skills/mileson/openprd/openprd-experience-quality-candidate-eval-20260608160326/github.svg)](https://agentmods.dev/skills/mileson/openprd/openprd-experience-quality-candidate-eval-20260608160326)
Your own site
<a href="https://agentmods.dev/skills/mileson/openprd/openprd-experience-quality-candidate-eval-20260608160326"><img src="https://agentmods.dev/badge/skills/mileson/openprd/openprd-experience-quality-candidate-eval-20260608160326/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-quality-candidate-eval-20260608160326

Your own site · 80×15
<a href="https://agentmods.dev/skills/mileson/openprd/openprd-experience-quality-candidate-eval-20260608160326"><img src="https://agentmods.dev/badge/skills/mileson/openprd/openprd-experience-quality-candidate-eval-20260608160326.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 1,072 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 warn 7 Sept 2026
SkillSpector: 5 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Agent Snooping · line 21
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
  • medium Agent Snooping · line 21
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
  • medium Agent Snooping · line 21
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
  • medium Agent Snooping · line 21
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
  • medium Agent Snooping · line 21
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 $0.01072
Opus 5 $0.00018 $0.00536
Sonnet 5 $0.00007 $0.00214
Haiku 4.5 $0.00004 $0.00107

Measured 11d ago against content hash 1799d650478c, 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-20260608160326 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

Copies of this mod

6 near-identical copies found in the catalogue:

.openprd/knowledge/drafts/openprd-experience-quality-candidate-eval-20260608160326/SKILL.md · 79 lines

How it starts

The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.

openprd-experience-quality-candidate-eval-20260608160326

状态:draft 候选目录:.openprd/knowledge/candidates/candidate-eval-20260608160326 Promote:openprd quality . --learn --from .openprd/knowledge/candidates/candidate-eval-20260608160326

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
  • quality-verify: quality needs-attention | attention gates: feature-coverage | touched: README.md, 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
  • dev-check: dev-check attention=2, warning=7 | touched: skills/openprd-frontend-design/SKILL.md, skills/openprd-benchmark-router/SKILL.md, skills/openprd-harness/SKILL.md, skills/openprd-router/SKILL.md, skills/openprd-shared/SKILL.md, skills/openprd-learning-review/references/style-packs/xianxia-cultivation.prompt.md
  • dev-check: dev-check attention=2, warning=5 | touched: src/brainstorm.js, src/brainstorm-artifacts.js, src/brainstorm-presentation.js, src/workspace-workflow.js, src/run-harness.js, src/cli/run-print.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。
  • 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: 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: quality-report
  • 验证信号: doctor-green、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: doctor passed
  • 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/quality/reports/eval-20260608160326.json

Read the full file on GitHub · 79 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 · 79 lines · 36 tokens per session scan A 1799d650478c

Subscribe to this mod's changes

openprd-experience-quality-candidate-eval-20260608160326 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 1,072 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.