Borrowing it
Nothing to install: this file belongs to objectstack-ai/objectstack. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/objectstack-ai/objectstack/main/.claude/skills/dogfood-verification/SKILL.mdgit clone --depth 1 https://github.com/objectstack-ai/objectstackWrote 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/objectstack-ai/objectstack/dogfood-verification)<a href="https://agentmods.dev/skills/objectstack-ai/objectstack/dogfood-verification"><img src="https://agentmods.dev/badge/skills/objectstack-ai/objectstack/dogfood-verification/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/objectstack-ai/objectstack/dogfood-verification"><img src="https://agentmods.dev/badge/skills/objectstack-ai/objectstack/dogfood-verification.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
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 →
- high Tool Misuse · line 137 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
- medium MCP Rug Pull · line 12 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00128 | $0.03060 |
| Opus 5.5 | $0.00051 | $0.01224 |
| Sonnet 5.5 | $0.00026 | $0.00612 |
| Haiku 4.5 | $0.00013 | $0.00306 |
Grade A, and why
dogfood-verification scanned grade A with 1 finding 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 1mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
`curl -s -m3 -o /dev/null -w '%{http_code}' http://localhost:<port>/api/v1/health` → 200。 How it starts
The opening of the file, as written. The whole thing — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dogfood verification
启动并驱动真实应用的实战流程,教训换来的。三根支柱:隔离环境、吃透构建模 型、断言前先做视觉/权威核验。烧掉时间的地方都在跳过支柱 1 或 3。
0. 起飞前 —— 先隔离环境(第一件事)
dev 工作树、dev-server 端口、preview 浏览器全是共享的:并行的 Claude/dogfood 会 话会抢走浏览器标签页、留下挡住导航的未保存草稿、弄脏工作树。开工前先隔离:
⚠️ 环境事实的锚点是 docs/qa/platform-checklist/RUNNER.md —— 本节只写它没有的那
几条,⛔ 不留第二份拷贝。
- 自有端口:挑一个空闲的非默认端口(不要 3000/3001/3210)。先查:
lsof -nP -iTCP:<port> -sTCP:LISTEN。在.claude/launch.json加一条指向本 工作目录的具名配置,例如pnpm -C <abs>/examples/app-showcase exec objectstack dev --ui --seed-admin -p <port> -d file:/tmp/<run>/data.db。 工作树没了就删掉自己那条 —— 死条目让preview_start挂在缺失的pnpm -C上。 - 同时导出
OS_PORT—— 只给-p不够。 showcase 的自 ping 连接器读的是环 境(SHOWCASE_SELF_URL→OS_PORT→PORT→3000),于是fetch failed冒充出口被封。 - 自有数据:
--seed-admin在空 DB 上给出[email protected] / admin123。持 久化-d file:/tmp/<run>/data.db重启后仍在(适合多步配置的运行);--fresh给全新首跑(退出即清)。 - 确认独占控制:
preview_start后检查location.origin=== 你的http://localhost:<port>。标签页不断漂到你没导航过的应用/路由、或出现你没写过 的草稿 → 有并行会话占着浏览器。别跟它抢;把所有检查钉到你的绝对 origin, 靠 API + 源码(支柱 3)。 - 还要开 PR 的话,在基于
origin/main的独立 git worktree 里做(见 §5)—— 永不从共享的脏分支提交。
1. 启动
-
preview_start你在.claude/launch.json的具名配置;轮询就绪:curl -s -m3 -o /dev/null -w '%{http_code}' http://localhost:<port>/api/v1/health→ 200。 - Console UI 在
/_console/;应用在/_console/apps/<appId>(如com.objectstack.setup、com.objectstack.studio)。API 根/api/v1,设置/api/settings,合并后的应用/导航/api/v1/meta/app?id=<appName>。 - ⚠️
?id=键的是应用name,不是包 id。 stock boot 的 name 是showcase_app/setup/account(studio不随 stock boot 装载,?id=studio理应为空 —— 详见 RUNNER)—— 不是上一行那种com.objectstack.setup/com.example.showcase(那是包 id,只在/_console/apps/的路径段上成立)。传 包 id 得到的是{"items":[]},读起来和「应用元数据没了」一模一样 —— 最高价值 的假 P0 形状。先不带 query 取一次/api/v1/meta/app,读它真正返回的 name, 再去过滤。
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.
- 1mo ago Changed db2af195c56c
- 1mo ago Changed · -9 lines 0dd043678fa8
- 1mo ago First seen · 158 lines · 128 tokens per session scan A a51a4e640527
dogfood-verification is a skill published in the GitHub repository objectstack-ai/objectstack (75 stars, last pushed today), licensed Apache-2.0. It adds 128 tokens to every session and 3,060 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
qa
Exercise the delivered customer journey using real runtime or browser evidence. Use for functional acceptance testing after implementation, including failure paths.
playwright-cli
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
browse
Drive a real browser through Aside: open a page, read it, click through a flow, take screenshots, check console errors. (gstack).
create-verification-skill
Create a repo-local verification skill and exhaustive feature map for driving a real app through its UI, CLI, or API. Use for "create a verification skill", "make a verify skill for this repo", or "document how agents can verify this app".
browser-qa
A browser-based quality check for deployed web pages and user flows. It uses browser automation to test rendering, navigation, forms, interactions, responsive behaviour, and accessibility-related issues.
webapp-testing
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.