Error Handling
majiayu000/litellm-rs
LiteLLM-RS Error Handling Architecture. An agent skill from majiayu000/litellm-rs.
/cs:cross-eval <memo — Multi-model consensus on a board memo or strategy brief.
Install Cross Eval
$ npx skills add alirezarezvani/claude-skills --skill cross-eval -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install alirezarezvani/claude-skills cross-eval --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/c-level-agents/skills/cross-eval .claude/skills/cross-eval && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "cross-eval" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/c-level-agents/skills/cross-eval into .claude/skills/cross-eval/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cross-eval", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/alirezarezvani/claude-skills/tree/main/c-level-agents/skills/cross-evalType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add alirezarezvani/claude-skills --skill cross-eval -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install alirezarezvani/claude-skills cross-eval --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/c-level-agents/skills/cross-eval .agents/skills/cross-eval && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cross-eval" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/c-level-agents/skills/cross-eval into .agents/skills/cross-eval/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cross-eval", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add alirezarezvani/claude-skills --skill cross-eval -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install alirezarezvani/claude-skills cross-eval --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/c-level-agents/skills/cross-eval .cursor/skills/cross-eval && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "cross-eval" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/c-level-agents/skills/cross-eval into .cursor/skills/cross-eval/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cross-eval", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/alirezarezvani/claude-skills.git --path c-level-agents/skills/cross-eval--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add alirezarezvani/claude-skills --skill cross-eval -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install alirezarezvani/claude-skills cross-eval --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/c-level-agents/skills/cross-eval .gemini/skills/cross-eval && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "cross-eval" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/c-level-agents/skills/cross-eval into .gemini/skills/cross-eval/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cross-eval", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install alirezarezvani/claude-skills cross-evalInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add alirezarezvani/claude-skills --skill cross-eval -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/c-level-agents/skills/cross-eval .github/skills/cross-eval && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "cross-eval" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/c-level-agents/skills/cross-eval into .github/skills/cross-eval/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cross-eval", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add alirezarezvani/claude-skills --skill cross-eval -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install alirezarezvani/claude-skills cross-eval --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/c-level-agents/skills/cross-eval .opencode/skills/cross-eval && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "cross-eval" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/c-level-agents/skills/cross-eval into .opencode/skills/cross-eval/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cross-eval", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
cross-eval- GitHub stars
- 28k
- Token cost
- ~1.1k tokens
- SKILL.md length
- 348 words
- Files
- 1
- Skills in repo
- 342
- Repo updated
- First seen
- Licence
- MIT
At a glance
/cs:cross-eval <memo — Multi-model consensus on a board memo or strategy brief.
- Works in 3 steps: Claude (primary, always available) — the… → Codex / OpenAI (if OPENAI_API_KEY or… → Gemini (if GEMINI_API_KEY or gemini CLI…
- A high-stakes memo needs an independent sanity check before the boardroom — e.g
- SKILL.md covers When to Run, Models Used (graceful…, Workflow and Output Format, plus 4 more sections
- Needs OPENAI_API_KEY and GEMINI_API_KEY
What it does
Cross Eval is an agent skill from alirezarezvani/claude-skills. /cs:cross-eval <memo — Multi-model consensus on a board memo or strategy brief. Claude + Codex + Gemini cross-review with graceful degradation. Use when a high-stakes memo needs an independent sanity check before the boardroom — e.g. a bet-the-company pivot or fundraise terms.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Development, covering Error handling. It works with OpenAI. The repository describes itself as: 380 Claude Code skills & agent skills & plugins (30+ Agents, 70+ custom commands, 380+ skills, customizable references, scripts)for Claude Code, Codex, Gemini CLI, Cursor, and 8… The licence is MIT.
When your agent uses it
- A high-stakes memo needs an independent sanity check before the boardroom — e.g
- Tasks that involve Error handling
Example prompts
- “/cross-eval”
Requirements
- A credential in OPENAI_API_KEY
- A credential in GEMINI_API_KEY
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Claude (primary, always available) — the boardroom's native voice
- Codex / OpenAI (if OPENAI_API_KEY or codex CLI available)
- Gemini (if GEMINI_API_KEY or gemini CLI available)
What it can do on your machine
Read from SKILL.md and the folder at commit 19392f7. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
OPENAI_API_KEYGEMINI_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Cross Eval loads about 1.1k tokens when it runs. Until then it costs about 72 tokens; SKILL.md has 348 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from alirezarezvani/claude-skills at commit 19392f7, republished under its MIT licence (© alirezarezvani). 348 words, ~1,076 tokens.
Download SKILL.mdSave it as
.claude/skills/cross-eval/SKILL.md (or your agent's skills folder).- name
- cross-eval
- description
- /cs:cross-eval <memo> — Multi-model consensus on a board memo or strategy brief. Claude + Codex + Gemini cross-review with graceful degradation. Use when a high-stakes memo needs an independent sanity check before the boardroom — e.g. a bet-the-company pivot or fundraise terms.
/cs:cross-eval — Multi-Model Consensus
Command: /cs:cross-eval <memo-or-brief>
Runs the same memo through multiple model providers and reconciles divergences. Use for high-stakes, irreversible decisions where single-model bias is too costly: M&A, major fundraises, layoffs, strategic pivots, regulatory commitments.
Adapted from gstack's /codex cross-review pattern, generalized to business memos instead of code PRs.
When to Run
- Before signing a term sheet
- Before announcing a layoff
- Before committing to a regulated market
- Before any decision where reversing costs > 6 months of company time
- When the boardroom vote was split or had a CRITICAL dissent
Models Used (graceful degradation)
The command tries to invoke each available model in order:
- Claude (primary, always available) — the boardroom's native voice
- Codex / OpenAI (if
OPENAI_API_KEYorcodexCLI available) - Gemini (if
GEMINI_API_KEYorgeminiCLI available)
If only Claude is available, the command runs Claude-only with adversarial mode — same model, different prompt seeds — and clearly labels the output as single-model.
Workflow
- Read the memo / brief
- Probe environment for available model CLIs / API keys
- For each available model:
- Send the memo with this prompt prefix:
"You are an independent C-suite reviewer. The following is a board memo from another company's boardroom. Identify the top 3 concerns, the top 3 supports, and your vote (APPROVE / REJECT / DEFER). Do not deferentially agree — assume the memo's reasoning is flawed until proven otherwise."
- Send the memo with this prompt prefix:
- Collect three independent reviews
- Reconcile: where do they agree? Where do they diverge?
- Surface the divergences as questions for the founder
Output Format
Saved to ~/.claude/cross-eval/YYYY-MM-DD-<slug>.md:
# Cross-Eval: <memo title>
**Date:** YYYY-MM-DD
**Memo reviewed:** <link>
**Models invoked:** Claude / Codex / Gemini (or noted fallbacks)
## Vote Tally
| Model | Vote | Confidence |
|---|---|---|
| Claude | APPROVE | High |
| Codex | DEFER | Med |
| Gemini | APPROVE | Low |
## Consensus Concerns (≥2 models flagged)
1. <concern> — flagged by Claude + Codex
2. <concern> — flagged by all 3
## Divergent Concerns (1 model flagged)
- <Codex only:> <concern> — worth a second look
- <Gemini only:> <concern> — likely noise, but check
## Consensus Supports (≥2 models endorsed)
1. <support>
2. <support>
## Recommendation
- 🟢 GO if 2+ models APPROVE and no CRITICAL concerns from any model
- 🟡 PAUSE if any model is DEFER or any concern is CRITICAL
- 🔴 STOP if 2+ models REJECT
## Open Questions for Founder
1. <question raised by divergence>
2. <question raised by divergence>Why This Matters
Single-model recommendations have systematic biases. Claude trends helpful and may under-weight risk. Codex (OpenAI) trends more cautious on emerging-market and regulatory topics. Gemini trends more cautious on technical scale claims. Disagreement is signal, not noise.
This is the safety net before irreversibility — not a replacement for outside counsel or a real board.
Graceful Degradation
If only Claude is available:
**Models available:** Claude only
**Mode:** ADVERSARIAL — running 3 independent Claude passes with different system prompts:
1. Standard reviewer
2. Devil's advocate (must find 3 critical concerns)
3. Steelman (must find 3 strongest reasons to approve)
This is weaker than true multi-model. Treat the result as suggestive, not conclusive.Routing
/cs:decide— if consensus is GO/cs:freeze— if consensus is PAUSE/cs:boardroom(re-run) — if consensus is STOP
Related
- Skills:
board-meeting,executive-mentor - Inspiration: gstack's
/codexcross-review pattern (adapted to business memos)
Version: 1.0.0
© alirezarezvani, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in c-level-agents/skills/cross-eval of alirezarezvani/claude-skills.
Open the folder on GitHubat commit 19392f7
Compare with similar skills
Cross Eval next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Cross Eval this skillalirezarezvani/claude-skills | 28k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Error Handlingmajiayu000/litellm-rs | 116 | — | ~2k | Automated safety check: Pass | MIT | |
| LLM Providercaliber-ai-org/ai-setup | 1.3k | — | ~2.7k | Automated safety check: Pass | MIT | |
| Agent Tool Builderomer-metin/skills-for-antigravity | 162 | — | ~705 | Automated safety check: Pass | Apache-2.0 | |
| Get API Docs with chubandrewyng/context-hub | 14k | 2 repos | ~775 | Automated safety check: Pass | MIT | |
| DeepChat Provider IntegrationThinkInAIXYZ/deepchat | 6.4k | 1 repos | ~1.2k | Automated safety check: Pass | Apache-2.0 |
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Related
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Categories
Questions about Cross Eval
What does Cross Eval do?
/cs:cross-eval <memo — Multi-model consensus on a board memo or strategy brief. Cross Eval is an agent skill from alirezarezvani/claude-skills. /cs:cross-eval <memo — Multi-model consensus on a board memo or strategy brief.
When should I use Cross Eval?
Cross Eval fits situations like: A high-stakes memo needs an independent sanity check before the boardroom — e.g; tasks that involve Error handling.
How do I install Cross Eval in Claude Code?
Run `npx skills add alirezarezvani/claude-skills --skill cross-eval -a claude-code`. Or copy the skill folder (c-level-agents/skills/cross-eval in alirezarezvani/claude-skills) into .claude/skills/cross-eval in your project. Claude Code loads it when a task matches its description.
How do I install Cross Eval in Codex?
Run `npx skills add alirezarezvani/claude-skills --skill cross-eval -a codex`. Or copy the skill folder (c-level-agents/skills/cross-eval in alirezarezvani/claude-skills) into .agents/skills/cross-eval in your project. Codex loads it when a task matches its description.
Can I use Cross Eval in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add alirezarezvani/claude-skills --skill cross-eval -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cross-eval, .gemini/skills/cross-eval, .github/skills/cross-eval and .opencode/skills/cross-eval in your project.
What does Cross Eval need to run?
Going by SKILL.md and its folder, Cross Eval needs credentials named OPENAI_API_KEY and GEMINI_API_KEY. Our summary lists: A credential in OPENAI_API_KEY; A credential in GEMINI_API_KEY.
Does Cross Eval access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Cross Eval safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Cross Eval use?
Cross Eval is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Cross Eval use?
About 1.1k tokens (SKILL.md is roughly 4.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Cross Eval?
Skills that share tags, products or a category with Cross Eval: Error Handling (majiayu000/litellm-rs, 116 stars), LLM Provider (caliber-ai-org/ai-setup, 1.3k stars), Agent Tool Builder (omer-metin/skills-for-antigravity, 162 stars) and Get API Docs with chub (andrewyng/context-hub, 14k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Cross Eval?
alirezarezvani (a GitHub user) maintains it in alirezarezvani/claude-skills, which has 27,788 GitHub stars. The repository holds 342 skills in this directory. The repository was last updated on August 30, 2026.
Source: alirezarezvani/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.