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-quality-candidate-eval-20260608181514git 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-quality-candidate-eval-20260608181514)<a href="https://agentmods.dev/skills/mileson/openprd/openprd-experience-quality-candidate-eval-20260608181514"><img src="https://agentmods.dev/badge/skills/mileson/openprd/openprd-experience-quality-candidate-eval-20260608181514/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-quality-candidate-eval-20260608181514"><img src="https://agentmods.dev/badge/skills/mileson/openprd/openprd-experience-quality-candidate-eval-20260608181514.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00036 | $0.01057 |
| Opus 5 | $0.00018 | $0.00528 |
| Sonnet 5 | $0.00007 | $0.00211 |
| Haiku 4.5 | $0.00004 | $0.00106 |
Grade A, and why
openprd-experience-quality-candidate-eval-20260608181514 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.
This is a copy
78% identical to openprd-experience-quality-candidate-eval-20260608160326 — 14 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
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-20260608181514
状态:draft 候选目录:
.openprd/knowledge/candidates/candidate-eval-20260608181514Promote:openprd quality . --learn --from .openprd/knowledge/candidates/candidate-eval-20260608181514
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=4 | touched: src/design-starter.js, src/cli/args.js, src/openprd.js, src/cli/quality-print.js, src/run-harness.js, src/cli/run-print.js
- 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
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.jsonscripts/dev-check-wrapup-copy.mjsscripts/openprd-codex-isolated-worker.mjsscripts/openprd-dev-check.mjsscripts/openprd-github-release-notes.mjsscripts/openprd-review-presentation.mjsscripts/quality-perf-check.mjssrc/agent-integration.jssrc/benchmark/constants.jssrc/benchmark/operations.jssrc/benchmark/registry.js.openprd/quality/reports/eval-20260608181514.json
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 · 79 lines · 36 tokens per session scan A 0756abcd334d
openprd-experience-quality-candidate-eval-20260608181514 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 1,057 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 78% identical to openprd-experience-quality-candidate-eval-20260608160326, differing in 14 lines, and is treated as a copy.
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