ModLens Image Vision Bridge
liustack/modlens
Gives text-only models sight by running the modlens CLI on an image path or URL and returning structured JSON evidence with transcribed text, layout and semantics.
Multi-model validation council — auto-validate plans, architecture changes, and PRs via validate-plan/review before executing
$ npx skills add alinaqi/maggy --skill council-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install alinaqi/maggy council-review --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/alinaqi/maggy.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/council-review .claude/skills/council-review && 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 "council-review" agent skill from https://github.com/alinaqi/maggy/tree/main/skills/council-review into .claude/skills/council-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "council-review", 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/alinaqi/maggy/tree/main/skills/council-reviewType 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 alinaqi/maggy --skill council-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install alinaqi/maggy council-review --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alinaqi/maggy.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/council-review .agents/skills/council-review && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "council-review" agent skill from https://github.com/alinaqi/maggy/tree/main/skills/council-review into .agents/skills/council-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "council-review", 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 alinaqi/maggy --skill council-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install alinaqi/maggy council-review --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alinaqi/maggy.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/council-review .cursor/skills/council-review && 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 "council-review" agent skill from https://github.com/alinaqi/maggy/tree/main/skills/council-review into .cursor/skills/council-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "council-review", 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/alinaqi/maggy.git --path skills/council-review--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 alinaqi/maggy --skill council-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install alinaqi/maggy council-review --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alinaqi/maggy.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/council-review .gemini/skills/council-review && 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 "council-review" agent skill from https://github.com/alinaqi/maggy/tree/main/skills/council-review into .gemini/skills/council-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "council-review", 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 alinaqi/maggy council-reviewInstalls 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 alinaqi/maggy --skill council-review -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/alinaqi/maggy.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/council-review .github/skills/council-review && 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 "council-review" agent skill from https://github.com/alinaqi/maggy/tree/main/skills/council-review into .github/skills/council-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "council-review", 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 alinaqi/maggy --skill council-review -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install alinaqi/maggy council-review --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alinaqi/maggy.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/council-review .opencode/skills/council-review && 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 "council-review" agent skill from https://github.com/alinaqi/maggy/tree/main/skills/council-review into .opencode/skills/council-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "council-review", 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.
council-reviewMulti-model validation council — auto-validate plans, architecture changes, and PRs via validate-plan/review before executing
Council Review is an agent skill from alinaqi/maggy. Multi-model validation council — auto-validate plans, architecture changes, and PRs via validate-plan/review before executing
Its SKILL.md is about 760 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It works with DeepSeek. The repository describes itself as: What started as an opinionated Claude Code setup kit is now an autonomous AI engineering command center. The licence is MIT.
Read from SKILL.md and the folder at commit 72a456e. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
BashReadFrom allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Council Review loads about 756 tokens when it runs. Until then it costs about 35 tokens; SKILL.md has 314 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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Bash, ReadAutomated 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.
The full file from alinaqi/maggy at commit 72a456e, republished under its MIT licence (© alinaqi). 314 words, ~756 tokens.
.claude/skills/council-review/SKILL.md (or your agent's skills folder).When you write a plan to ~/.claude/plans/, automatically validate it:
~/bin/validate-plan --threshold 2 ~/.claude/plans/<plan-file>.mdWhen making architectural changes (new services, API redesigns, database schema changes), run:
~/bin/review --all "Review this architecture: <summary>"Before marking a PR as done, run:
~/bin/review --all --file <changed-files>Council behavior is configured in ~/.claude/council.yaml. The Maggy dashboard (Settings > Council) also manages this config.
chief: claude-fable-5 — Claude Fable 5 (Anthropic's most capable widely-released
model, GA 2026-06-09) leads every panel as the chief: it reviews first and casts
the deciding synthesis. Invoked via ~/bin/claude-fable-5. Override the chief in
~/.claude/council.yaml.
The chief leads each context, followed by the panel:
| Context | Default Reviewers | When |
|---|---|---|
plan | Claude Fable 5 (chief), DeepSeek Pro, Codex, Gemini Pro | Before executing any plan |
review | Claude Fable 5 (chief), DeepSeek Pro, Kimi | Code review, PR review |
architecture | Claude Fable 5 (chief), DeepSeek Pro, Gemini Pro, Grok | System design, schema changes |
The threshold setting controls how many approvals are needed:
threshold: 2 with 3 reviewers → need 2/3 to auto-executeAll 13 tiers are listed in ~/.claude/council.yaml under models:. Each has:
id — unique identifiercmd — CLI command to invoke (null for Claude models, which are the host)tier — routing priority (0=cheapest, 12=most capable)label — human-readable nameUse POST /api/models/health to verify all models are responding.
This skill is loaded by Claude Code on session start. It provides the behavioral rules for when to invoke multi-model validation. The actual execution happens via ~/bin/validate-plan and ~/bin/review which are already installed.
Do not skip council validation for CLAUDE-tier tasks. The whole point is that architecture and security decisions get independent verification before execution.
© alinaqi, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/council-review of alinaqi/maggy.
Open the folder on GitHubat commit 72a456e
Council Review 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 |
|---|---|---|---|---|---|---|
| Council Review this skillalinaqi/maggy | 707 | — | ~756 | Automated safety check: Notes | MIT | |
| ModLens Image Vision Bridgeliustack/modlens | 4.2k | — | ~1.3k | Automated safety check: Notes | MIT | |
| Distilly Person Profile Buildertitanwings/distilly | 25k | — | ~15k | Automated safety check: Notes | MIT | |
| Evals Contextzgsm-ai/costrict | 4.5k | 1 repos | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| J SpaceTiger3807861189/J-Space-Cognition-Suite | 3k | — | ~3k | Automated safety check: Pass | Apache-2.0 | |
| Weavebench Cua ReproduceAMAP-ML/LongHorizon-Harness | 1.7k | — | ~1.6k | Automated safety check: Pass | MIT |
liustack/modlens
Gives text-only models sight by running the modlens CLI on an image path or URL and returning structured JSON evidence with transcribed text, layout and semantics.
titanwings/distilly
Distills source material about a colleague, a relationship or a celebrity into reusable Person Profiles that an agent can later work from, in English or Chinese.
zgsm-ai/costrict
Provides context about the CoStrict evals system structure in this monorepo.
Tiger3807861189/J-Space-Cognition-Suite
Operate a selective workspace for complex reasoning, long tasks, repository engineering, coordinated agents, and authorized security analysis.
AMAP-ML/LongHorizon-Harness
Reproduce CUA-Harness experiments on WeaveBench from a GitHub checkout.
Anionex/agent-vision-toolkit
Local vision CLIs: glance (describe/ask/OCR an image), ground (locate a target, pixel box), detect (element inventory), trace (image to SVG geometry), crop (cut a pixel box to a file), and…
alinaqi/maggy
AI Engine Optimization - semantic triples, page templates, content clusters for AI citations
alinaqi/maggy
Claude Code Agent Teams - default team-based development with strict TDD pipeline enforcement
alinaqi/maggy
Latest AI models reference - Claude, OpenAI, Gemini, Eleven Labs, Replicate
alinaqi/maggy
Android Java development with MVVM, ViewBinding, and Espresso testing
alinaqi/maggy
Android Kotlin development with Coroutines, Jetpack Compose, Hilt, and MockK testing
alinaqi/maggy
AI-driven testing agent that auto-discovers, generates, executes, evaluates, and fixes tests for any project type
Works with
Multi-model validation council — auto-validate plans, architecture changes, and PRs via validate-plan/review before executing. Council Review is an agent skill from alinaqi/maggy.
Run `npx skills add alinaqi/maggy --skill council-review -a claude-code`. Or copy the skill folder (skills/council-review in alinaqi/maggy) into .claude/skills/council-review in your project. Claude Code loads it when a task matches its description.
Run `npx skills add alinaqi/maggy --skill council-review -a codex`. Or copy the skill folder (skills/council-review in alinaqi/maggy) into .agents/skills/council-review in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add alinaqi/maggy --skill council-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/council-review, .gemini/skills/council-review, .github/skills/council-review and .opencode/skills/council-review in your project.
SKILL.md names no scripts, command-line tools or credentials: Council Review is instructions for the agent only. Its frontmatter pre-approves these tools: Bash, Read.
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.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Council Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 756 tokens (SKILL.md is roughly 3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Council Review: ModLens Image Vision Bridge (liustack/modlens, 4.2k stars), Distilly Person Profile Builder (titanwings/distilly, 25k stars), Evals Context (zgsm-ai/costrict, 4.5k stars) and J Space (Tiger3807861189/J-Space-Cognition-Suite, 3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
alinaqi (a GitHub user) maintains it in alinaqi/maggy, which has 707 GitHub stars. The repository holds 71 skills in this directory. The repository was last updated on September 24, 2026.
Source: alinaqi/maggy on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.