Litigation Deadline Calendar
lawve-ai/awesome-legal-skills
Calendar litigation and arbitration deadlines from a scheduling order.
MUST use WHEN a code diff needs second-opinion or multi-model review: light tier = one eligible independent cross-family reviewer selected from enabled participants outside the caller family (also…
Install Review Swarm
$ npx skills add SteelMorgan/1c-agent-based-dev-framework --skill review-swarm -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install SteelMorgan/1c-agent-based-dev-framework review-swarm --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/SteelMorgan/1c-agent-based-dev-framework.git skills-src && mkdir -p .claude/skills && cp -r skills-src/framework/skills/tool-usage/review/review-swarm .claude/skills/review-swarm && 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 "review-swarm" agent skill from https://github.com/SteelMorgan/1c-agent-based-dev-framework/tree/main/framework/skills/tool-usage/review/review-swarm into .claude/skills/review-swarm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-swarm", 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/SteelMorgan/1c-agent-based-dev-framework/tree/main/framework/skills/tool-usage/review/review-swarmType 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 SteelMorgan/1c-agent-based-dev-framework --skill review-swarm -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install SteelMorgan/1c-agent-based-dev-framework review-swarm --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/SteelMorgan/1c-agent-based-dev-framework.git skills-src && mkdir -p .agents/skills && cp -r skills-src/framework/skills/tool-usage/review/review-swarm .agents/skills/review-swarm && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "review-swarm" agent skill from https://github.com/SteelMorgan/1c-agent-based-dev-framework/tree/main/framework/skills/tool-usage/review/review-swarm into .agents/skills/review-swarm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-swarm", 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 SteelMorgan/1c-agent-based-dev-framework --skill review-swarm -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install SteelMorgan/1c-agent-based-dev-framework review-swarm --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/SteelMorgan/1c-agent-based-dev-framework.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/framework/skills/tool-usage/review/review-swarm .cursor/skills/review-swarm && 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 "review-swarm" agent skill from https://github.com/SteelMorgan/1c-agent-based-dev-framework/tree/main/framework/skills/tool-usage/review/review-swarm into .cursor/skills/review-swarm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-swarm", 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/SteelMorgan/1c-agent-based-dev-framework.git --path framework/skills/tool-usage/review/review-swarm--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 SteelMorgan/1c-agent-based-dev-framework --skill review-swarm -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install SteelMorgan/1c-agent-based-dev-framework review-swarm --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/SteelMorgan/1c-agent-based-dev-framework.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/framework/skills/tool-usage/review/review-swarm .gemini/skills/review-swarm && 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 "review-swarm" agent skill from https://github.com/SteelMorgan/1c-agent-based-dev-framework/tree/main/framework/skills/tool-usage/review/review-swarm into .gemini/skills/review-swarm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-swarm", 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 SteelMorgan/1c-agent-based-dev-framework review-swarmInstalls 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 SteelMorgan/1c-agent-based-dev-framework --skill review-swarm -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/SteelMorgan/1c-agent-based-dev-framework.git skills-src && mkdir -p .github/skills && cp -r skills-src/framework/skills/tool-usage/review/review-swarm .github/skills/review-swarm && 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 "review-swarm" agent skill from https://github.com/SteelMorgan/1c-agent-based-dev-framework/tree/main/framework/skills/tool-usage/review/review-swarm into .github/skills/review-swarm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-swarm", 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 SteelMorgan/1c-agent-based-dev-framework --skill review-swarm -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install SteelMorgan/1c-agent-based-dev-framework review-swarm --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/SteelMorgan/1c-agent-based-dev-framework.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/framework/skills/tool-usage/review/review-swarm .opencode/skills/review-swarm && 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 "review-swarm" agent skill from https://github.com/SteelMorgan/1c-agent-based-dev-framework/tree/main/framework/skills/tool-usage/review/review-swarm into .opencode/skills/review-swarm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-swarm", 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
review-swarm- GitHub stars
- 115
- Token cost
- ~7.9k tokens
- SKILL.md length
- 3,031 words
- Files
- 45 (incl. scripts, references)
- Skills in repo
- 12
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
MUST use WHEN a code diff needs second-opinion or multi-model review: light tier = one eligible independent cross-family reviewer selected from enabled participants outside the caller family (also…
- Works in 3 steps: Детерминированная карта критичности… → Серая зона (нет пересечения с картой) —… → Калибровочная квота (N = 4): каждое 4-е…
- A code diff needs second-opinion
- SKILL.md covers Что это и governance, Когда вызывать, Тарифы и триаж (FR-15) and Жизненный цикл вызова, plus 9 more sections
- Runs Python scripts from its folder; calls python3
What it does
Review Swarm is an agent skill from SteelMorgan/1c-agent-based-dev-framework. MUST use WHEN a code diff needs second-opinion or multi-model review: light tier = one eligible independent cross-family reviewer selected from enabled participants outside the caller family (also the executor of blocking acceptance-bound review and the finalization gate APPROVECOMPLETION), full tier = divergent swarm of all enabled models with dedup, validation rounds and arbitration. Findings must have code locations; architectural disputes without a location belong to agent-consilium.
Its SKILL.md is about 7.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 49 other files, including scripts and reference files (for example `examples/criticality-map.gbig-platform.md`, `references/criticality-map.md` and `references/design-decisions-e2e02.md`).
It sits in Legal & Compliance, covering Dispute resolution. The repository describes itself as: Фреймворк агентной разработки на 1С.
When your agent uses it
- A code diff needs second-opinion
- Full tier = divergent swarm of all enabled models with dedup
- Validation rounds and arbitration
Example prompts
- “/review-swarm”
Requirements
- Python 3
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Детерминированная карта критичности (references/criticality-map.md)
- Серая зона (нет пересечения с картой) — ваша рубрика: вы и так читаете
- Калибровочная квота (N = 4): каждое 4-е лёгкое ревью исполняется
What it can do on your machine
Read from SKILL.md and the folder at commit 8d188b3. 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
Ships 2 files in scripts/ (Python, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
python3
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 no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Review Swarm loads about 7.9k tokens when it runs, and up to ~22k if it reads all its reference files. Until then it costs about 127 tokens; SKILL.md has 3,031 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); the scripts in this folder are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 3,031 words (~7,886 tokens).
“Этот навык — playbook вызывающего агента (Оркестратора, primary agent), который запускает код-ревью diff лёгким тарифом (один eligible ревьюер, не caller) или полным роем (все enabled-модели), ведёт туры, разрешает пограничные случаи и принимает диспозиции находок. Механика ядра и схемы данных здесь…”
- name
- review-swarm
- capabilities
- review,code-review,agent-governance,multi-model-review,cross-provider
Files
SKILL.md and 44 other files (scripts, references) in framework/skills/tool-usage/review/review-swarm of SteelMorgan/1c-agent-based-dev-framework.
- SKILL.md
- examples/criticality-map.gbig-platform.md
- references/criticality-map.md
- references/design-decisions-e2e02.md
- references/final-orchestrator-completion-review-prompt.md
- references/finding-schema.md
- references/report-template.md
- references/review-prompt.md
- references/review-report-template.md
- references/track-record-swarm.md
- references/verdict-schemas.md
- scripts/swarm.py
- scripts/swarm_core.py
- tests/contract/conftest.py
- tests/contract/test_mixed_native_fork_roster.py
- tests/contract/test_native_fork_turn_lineage.py
- … and 29 more
Open the folder on GitHubat commit 8d188b3
Compare with similar skills
Review Swarm 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 |
|---|---|---|---|---|---|---|
| Review Swarm this skillSteelMorgan/1c-agent-based-dev-framework | 115 | — | ~7.9k | Automated safety check: Pass | Custom licence | |
| Litigation Deadline Calendarlawve-ai/awesome-legal-skills | 847 | — | ~4.3k | Automated safety check: Pass | MIT | |
| Moot Court Simulation Buildercat-xierluo/legal-skills | 721 | — | ~1.4k | Automated safety check: Pass | CC-BY-NC-4.0 | |
| Intake To Draftstella/stella | 259 | — | ~537 | Automated safety check: Pass | Apache-2.0 | |
| Nla Arbitrateinternet-court/internet-court-skill | 6.6k | 1 repos | ~866 | Automated safety check: Pass | MIT | |
| Nla Createinternet-court/internet-court-skill | 6.6k | 1 repos | ~915 | Automated safety check: Pass | MIT |
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Nla Create
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Related
Categories
Questions about Review Swarm
What does Review Swarm do?
MUST use WHEN a code diff needs second-opinion or multi-model review: light tier = one eligible independent cross-family reviewer selected from enabled participants outside the caller family (also…. Review Swarm is an agent skill from SteelMorgan/1c-agent-based-dev-framework. MUST use WHEN a code diff needs second-opinion or multi-model review: light tier = one eligible independent cross-family reviewer selected from enabled participants outside the caller family (also the executor of blocking acceptance-bound review and the finalization gate APPROVECOMPLETION), full tier = divergent swarm of all enabled models with dedup, validation rounds and arbitration.
When should I use Review Swarm?
Review Swarm fits situations like: A code diff needs second-opinion; full tier = divergent swarm of all enabled models with dedup; validation rounds and arbitration.
How do I install Review Swarm in Claude Code?
Run `npx skills add SteelMorgan/1c-agent-based-dev-framework --skill review-swarm -a claude-code`. Or copy the skill folder (framework/skills/tool-usage/review/review-swarm in SteelMorgan/1c-agent-based-dev-framework) into .claude/skills/review-swarm in your project. Claude Code loads it when a task matches its description.
How do I install Review Swarm in Codex?
Run `npx skills add SteelMorgan/1c-agent-based-dev-framework --skill review-swarm -a codex`. Or copy the skill folder (framework/skills/tool-usage/review/review-swarm in SteelMorgan/1c-agent-based-dev-framework) into .agents/skills/review-swarm in your project. Codex loads it when a task matches its description.
Can I use Review Swarm 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 SteelMorgan/1c-agent-based-dev-framework --skill review-swarm -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/review-swarm, .gemini/skills/review-swarm, .github/skills/review-swarm and .opencode/skills/review-swarm in your project.
What does Review Swarm need to run?
Going by SKILL.md and its folder, Review Swarm needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Review Swarm 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 Review Swarm 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Review Swarm use?
Review Swarm has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Review Swarm use?
About 7.9k tokens (SKILL.md is roughly 32k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 14k tokens, read only when the agent opens those files.
What are the alternatives to Review Swarm?
Skills that share tags, products or a category with Review Swarm: Litigation Deadline Calendar (lawve-ai/awesome-legal-skills, 847 stars), Moot Court Simulation Builder (cat-xierluo/legal-skills, 721 stars), Intake To Draft (stella/stella, 259 stars) and Nla Arbitrate (internet-court/internet-court-skill, 6.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Review Swarm?
SteelMorgan (a GitHub user) maintains it in SteelMorgan/1c-agent-based-dev-framework, which has 115 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on September 30, 2026.
Source: SteelMorgan/1c-agent-based-dev-framework on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.