openprd-experience-quality-candidate-eval-20260614024546

openprd-experience-quality-candidate-eval-20260614024546 is a skill for Claude Code, Codex from mileson/openprd. It costs 36 tokens per session (1,137 once invoked), scanned A, original, MIT.

A draft set of project notes describing when to reuse a documented experience about evaluating coding-agent quality.

In plain words
What is it for?
Use it as a reference when work affects an agent, its supporting process, or automated checks and may benefit from lessons recorded in the candidate directory.
Why use it?
The supplied information only says it should be checked when a task overlaps that experience; it does not describe a specific coding capability.

Skill for Claude CodeCodex

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

Good fit Use it as a reference when work affects an agent, its supporting process, or automated checks and may benefit from lessons recorded in the candidate directory.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mileson/openprd/openprd-experience-quality-candidate-eval-20260614024546
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-20260614024546
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-20260614024546

README.md
[![agentmods](https://agentmods.dev/badge/skills/mileson/openprd/openprd-experience-quality-candidate-eval-20260614024546/github.svg)](https://agentmods.dev/skills/mileson/openprd/openprd-experience-quality-candidate-eval-20260614024546)
Your own site
<a href="https://agentmods.dev/skills/mileson/openprd/openprd-experience-quality-candidate-eval-20260614024546"><img src="https://agentmods.dev/badge/skills/mileson/openprd/openprd-experience-quality-candidate-eval-20260614024546/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-20260614024546

Your own site · 80×15
<a href="https://agentmods.dev/skills/mileson/openprd/openprd-experience-quality-candidate-eval-20260614024546"><img src="https://agentmods.dev/badge/skills/mileson/openprd/openprd-experience-quality-candidate-eval-20260614024546.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 1,137 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: 6 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 19
    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 20
    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 19
    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 20
    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 19
    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 20
    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 $0.01137
Opus 5 $0.00018 $0.00568
Sonnet 5 $0.00007 $0.00227
Haiku 4.5 $0.00004 $0.00114

Measured 11d ago against content hash 5687d3edd470, 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-20260614024546 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-20260614024546/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-20260614024546

状态:draft 候选目录:.openprd/knowledge/candidates/candidate-eval-20260614024546 Promote:openprd quality . --learn --from .openprd/knowledge/candidates/candidate-eval-20260614024546

触发条件

  • 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。
  • doctor-green: doctor passed
  • quality-verify: quality production-ready | 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=1, warning=4 | touched: AGENTS.md, skills/openprd-frontend-design/SKILL.md, skills/openprd-harness/SKILL.md, skills/openprd-quality/SKILL.md, src/agent-integration.js, src/codex-hook-runner-template.mjs
  • dev-check: dev-check attention=1, warning=3 | touched: AGENTS.md, skills/openprd-harness/SKILL.md, skills/openprd-frontend-design/SKILL.md, skills/openprd-quality/SKILL.md, src/codex-hook-runner-template.mjs, src/agent-integration.js
  • dev-check: dev-check attention=1, warning=3 | touched: src/codex-hook-runner-template.mjs, src/agent-integration.js, test/requirement-gate.test.js, test/openprd-agent-integration.test.js
  • dev-check: dev-check attention=2, warning=5 | touched: src/visual-compare.js, src/quality-visual-review.js, src/quality.js, src/codex-hook-runner-template.mjs, src/agent-integration.js, test/openprd-agent-integration.test.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
  • 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

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 5687d3edd470

Subscribe to this mod's changes

openprd-experience-quality-candidate-eval-20260614024546 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 1,137 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.