Group Discussion Reviewer Methodology
用一套严格的"产品组会评审"方法论，在对话里直接评审一份 PRD —— 无需 API key、无需运行任何代码。产出双轴结论（组内准入 / 模拟评审结果）+ P0/P1/P2 问题，并对 P0 严格把关（只有真正阻断审批/安全上线/可衡量/方向/交付的问题才算 P0）。当用户要"评审 PRD / 模拟组会评审 / 上会模拟 / 找 P0 阻断项 / 组内准入判断"但没有可用的 LLM key、或更想要一个可照做的思维框架时使用。English triggers: "review this PRD", "simulate a group/product review", "find P0 blockers", "is this PRD ready", "use the group-discussion review framework".
Install
$ agentstack add skill-aaronartistzhang-afk-dailywork-group-discussion-reviewer-methodology ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-aaronartistzhang-afk-dailywork-group-discussion-reviewer-methodology) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Group Discussion Reviewer — methodology (no key, inline)
Apply a disciplined product group-discussion review to a PRD directly in the conversation. No API key, no Node, no code execution — you (the agent) perform the review by following the written methodology.
> This is the lightweight sibling of the group-discussion-reviewer engine skill. The > engine runs the same pipeline deterministically (and gates P0s with code) but needs an > OpenAI-compatible key. Prefer the engine when a key is available and fidelity matters; use > this methodology skill when there's no key, or for a quick framework-driven review. > > Honest limitation: without the engine's deterministic P0 gatekeeper, the strictness of > P0 downgrading depends on your judgment. Hold the P0 bar hard.
How to use
- Get the PRD body as text/markdown (this skill does not fetch URLs or expand sheets).
- Read
methodology.mdin this folder and execute its 8 phases in order. - Produce exactly the output contract:
## 组内准入,## 模拟评审结果,## P0 Blockers,
## P1 Questions, ## P2 Questions, ## P1/P2 Improvement Suggestions.
- Respect the mode the user asks for (standard / deep / challenge; default challenge) and
the language (default Chinese).
The core discipline (summary — full detail in methodology.md)
- Two independent axes: 组内准入 (is it concrete enough to discuss?) vs 模拟评审结果
(would it pass?). A PRD can be admitted and still 不通过.
- P0 only for four failures: wrong direction/population, unmeasurable success (for a
formal decision), unsafe launch, or non-viable delivery — each with a concrete product bridge. Everything else (stats audit, SLA/QPS/monitoring, tracking schema, release checklist, compliance checklist, naming/icons, missing sections) defaults to P1/P2.
- A clean PRD has 0 P0. Don't inflate P0 to fill a quota.
- Blind review: PRD body only; ignore comments/annotations/post-meeting context. Ask
questions, don't answer them — except every P0 must include a concrete revision.
Always read methodology.md before reviewing; it carries the full P0 gate rules, the calibration priors, and the reviewer lenses.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: aaronartistzhang-afk
- Source: aaronartistzhang-afk/DailyWork
- License: MIT
- Homepage: https://aaronzhang.ai
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.