跳到正文
cccskills
免费在 GitHub 公开

konsilium

Council — 5 independent AI perspectives + mutual critique + synthesis (adapted from karpathy/llm-council for Claude Code). For high-stakes decisions where the answer does NOT follow unambiguously from the data — go/no-go before real consequences, critiquing a methodology, choosing between competing approaches, pressure-testing a conclusion you're attached to, designing risk controls. NOT for log/data analysis (the council has no data access) and not for factual lookups. Triggers — "convene the council", "run it past the council", "go/no-go", "pressure-test this".

中文简介正在准备中。当前显示原文说明。

查看安装方法

包含的文件(1)

  • SKILL.md5.2 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

/konsilium — the Council

Question/decision: $ARGUMENTS

The council gives 5 independent perspectives + mutual critique + synthesis (karpathy/llm-council mechanism: independent opinions → anonymous peer review → chairman synthesizes). It does NOT compute data — it pressure-tests decisions and conclusions. So it's useful where the cost of error is high and the answer does NOT follow unambiguously from the analysis.

Hard rule. The council decides WHAT to test and whether to ACT; your harness (tests / backtest / live data) computes the RESULT. Pairing: council raises a hypothesis / surfaces a risk → you run an honest test → council helps decide whether to commit. Neither works alone.


PHASE 0 — relevance gate (mandatory, before convening)

Before spending the council — check it's actually its job.

✅ Convene:

  • Go/no-go before real consequences (ship this config to production, raise the size, change the parameter).
  • Whether to trust an analysis / critique of methodology (sample, look-ahead, regime-dependence, i.i.d. assumptions).
  • Choosing between competing approaches with a real tradeoff.
  • Pressure-testing a conclusion you/the user are attached to.
  • Designing a risk control (circuit-breaker, exposure limit, safety switch).

❌ Don't convene — do it directly:

  • Real log/data analysis — the council has no data access, compute it yourself.
  • A factual lookup (how an API works, a code detail) — that's lookup, not debate.
  • A mechanical code edit — just do it.
  • Something already settled by data — nothing to argue.

If it's a ❌ — don't convene, say why, and do it directly.


PHASE 1 — briefing

The advisors don't see the data. Gather the facts yourself (numbers, configs, what's known, prior art) and write a short neutral briefing:

  • Context (what the system/strategy is, what's changing).
  • The decision/question in one line.
  • Known data (numbers, not interpretations).
  • Options on the table.
  • What's unknown / disputed.

No conclusion of your own — don't lead the advisors to an answer.

PHASE 2 — 5 independent advisors (in parallel)

Launch 5 agents in one message (in parallel), each given: the briefing + its lens. Default lenses are general-purpose; swap them to fit the domain:

  1. Correctness skeptic — is the reasoning sound? what assumption is load-bearing? what breaks it?
  2. Risk / downside — worst case, blast radius, protection of the core asset, what happens at the worst outcome.
  3. Methodologist — significance, sample, metric correctness, how to measure honestly, what's confounded.
  4. Execution / reality — does it survive contact with the real world? second-order effects, hidden costs, operational friction.
  5. Devil's advocate — attacks the core hypothesis, argues why NOT to do it and what's been missed.

Each returns: a verdict (go / no-go / need test X) + 2–4 main arguments + what it would check BEFORE acting.

PHASE 3 — mutual critique (in parallel)

Give each advisor all 5 answers (anonymized, no role labels — so they don't side with "their own"). Ask each to: find holes in the others' arguments, re-rate its own verdict in light of the rest, state explicitly what it agrees and disagrees with.

PHASE 4 — synthesis (you are the chairman)

Assemble the final:

  • Consensus — where the advisors converge.
  • Disagreements — where they clash and why (that's the risk zone).
  • Recommendation — go / no-go / test X first.
  • Risks — the main ones, what to monitor after acting.
  • What to run in the harness — the concrete test to run BEFORE committing.

Don't average opinions — weigh by argument strength, not by majority. If the user is attached to a conclusion — press, don't play along.


Anti-patterns

  • Don't pass the council's opinion off as data: "the council said it's profitable" ≠ profitable. The harness decides outcomes.
  • Don't convene for lookup / mechanics / things already settled by data.
  • Don't skip Phase 3 (critique) — it's what catches the holes a single answer papers over.
  • Keep the briefing neutral. A leading framing → the council confirms your bias instead of surfacing the risk.

Origin

Mechanism — Andrej Karpathy, github.com/karpathy/llm-council (independent opinions → anonymized peer review → chairman synthesis). The original is a web app over OpenRouter using DIFFERENT models (GPT/Gemini/Claude/Grok). This is an adaptation for Claude Code: 5 subagents of one model with distinct role-lenses. For genuine multi-model diversity, wire in different providers via their APIs.

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

goal

免费

Autonomous goal loop — give it ONE goal plus how to verify it, the agent runs check→fix→check itself and comes back only with the finished result (code with audit, research with fact-check, content with critique, audit/backtest). Self-verification instead of constant supervision, with hard safety guards. Vary the loop with a verification rubric designed before it runs. Triggers — "work autonomously to the result", "don't come back until it's done", "run the loop yourself", "drive it to done".

中文简介正在准备中。当前显示原文说明。

Sanexxxx777/curated-claude-code162026年9月7日 更新

longread

免费

Write an analytical longform piece — a 4-phase pipeline from raw idea to finished text, with research-backed facts and a devil's-advocate pass before publishing. Invoke /longread <topic>. Triggers — "write a longread about X", "write an analytical breakdown of Y", "write an expert post", "turn this into an article".

中文简介正在准备中。当前显示原文说明。

Sanexxxx777/curated-claude-code162026年9月7日 更新

pre-push

免费

A gate before git push / deploy — assembled from your own tools (secret-grep + slop-scan + code-review + build/compile + optional worktree isolation), so AI junk (slop / bugs / secrets / uncompiled code) never reaches a remote or a production server. Turns "I hope it's clean" into a verifiable criterion. Branches: web/OSS (git push/PR) vs deploy-to-server service. Triggers — "check before push", "clean push", "gate before push", "finalize before commit", "run before deploy".

中文简介正在准备中。当前显示原文说明。

Sanexxxx777/curated-claude-code162026年9月7日 更新

proof

免费

Prove — or honestly fail to prove — a specific technical claim: "the fix works", "it's deployed", "the service is running", "the site is done", "there are no vulnerabilities". Atomizes the claim, picks the shortest decisive signal on the evidence ladder, and returns a verdict from a fixed vocabulary (pass / partial / fail / skip) with an explicit coverage boundary. NOT code review, NOT a fix, NOT orchestration — only "what is proven, and what we merely hope". Triggers — "prove it works", "is it really done?", "are you sure?", "we deployed — is it live?", "verify that", "did we actually check?".

中文简介正在准备中。当前显示原文说明。

Sanexxxx777/curated-claude-code162026年9月7日 更新

Security launch audit for a public web app BEFORE you ship or hand it to a client — "vibe coders are getting sued", systematized. An executable pipeline: classify (static / full-stack / AI) → run sections (secrets+supply-chain, DB, auth, infra+headers, legal, LLM/injection) orchestrating deterministic tools + manual checks → GO/NO-GO report. Adapted from Prajwal Tomar's playbook, extended with prompt-injection / supply-chain / secret-history / dependency-CVE layers. NOT the same as pre-push (that = clean push; this = is the product itself safe to launch). Triggers — "security checklist for the site", "audit before launch", "is the site safe", "check before handing to client".

中文简介正在准备中。当前显示原文说明。

Sanexxxx777/curated-claude-code162026年9月7日 更新

Preventive hygiene audit of your own Claude Code configuration — memory files, project context (CLAUDE.md), rules, permissions, skills — a deterministic scan of sizes / broken links / stale entries / excessive permissions / junk + interpretation + targeted fixes by agreement. Keeps the setup from rotting before it breaks. Triggers — "check the system", "system health", "workflow hygiene", "what to clean up", "audit memory", "optimize the system".

中文简介正在准备中。当前显示原文说明。

Sanexxxx777/curated-claude-code162026年9月7日 更新

查看 Sanexxxx777 的全部技能

报告此技能的问题