Borrowing it
Nothing to install: this file belongs to warpdotdev/common-skills. 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/warpdotdev/common-skills/main/.agents/skills/cross-critique/SKILL.mdgit clone --depth 1 https://github.com/warpdotdev/common-skillsWrote 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/warpdotdev/common-skills/cross-critique)<a href="https://agentmods.dev/skills/warpdotdev/common-skills/cross-critique"><img src="https://agentmods.dev/badge/skills/warpdotdev/common-skills/cross-critique/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/warpdotdev/common-skills/cross-critique"><img src="https://agentmods.dev/badge/skills/warpdotdev/common-skills/cross-critique.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00102 | $0.01111 |
| Opus 5.5 | $0.00041 | $0.00444 |
| Sonnet 5.5 | $0.00020 | $0.00222 |
| Haiku 4.5 | $0.00010 | $0.00111 |
Grade A, and why
cross-critique 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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cross-Critique
Use this skill to run a second round after several subagents have independently produced proposals or opinions on the same contested question. Instead of synthesizing their reports yourself, you circulate each proposal to the other authors and ask them to critique it — pros and cons — and then you synthesize the richer set of analyses that results.
Why this matters
When you generate independent proposals (different models, different angles), each author ends up with deep context on the question — often deeper than yours, since they did the investigation. If you jump straight to synthesizing their reports alone, you're the bottleneck: you can only see the tradeoffs you happen to notice.
Asking the authors to critique each other is what a good leader does when seeking advice: get a few people with differing perspectives in a room, let them poke holes in each other's reasoning, and you walk away with a far more complete picture than any one of them — or you — would produce alone. The authors will surface failure modes, hidden assumptions, and tradeoffs that neither you nor the original proposer flagged.
When to use it
Use cross-critique when a decision is contested — i.e. independent agents produced genuinely divergent proposals, or the question is subjective enough that reasonable approaches disagree. Good fits:
- Architecture and design tradeoffs.
- Code review where reviewers reached different conclusions.
- Competing root-cause theories for a bug.
- Code-structure or API-shape decisions with no single right answer.
Don't bother when the proposals already strongly agree, or when the question has an objective answer you can verify directly — critique adds latency and tokens, and its value comes specifically from resolving genuine disagreement. Within that scope, use it freely; you don't need a high-stakes justification, just real divergence worth resolving.
Prerequisite: you need independent proposals first
This skill is the second round. It assumes you already have N independent proposals in hand. If you don't yet:
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 First seen · 87 lines · 102 tokens per session scan A 1c6cf12ca9b8
cross-critique is a skill published in the GitHub repository warpdotdev/common-skills (636 stars, last pushed today), licensed MIT. It adds 102 tokens to every session and 1,111 once invoked, about $0.0004 per session on Opus 5.5. 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.
Other skills, from other repositories
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…