Local Asr
ysyecust/lecture-to-notes
把本地长视频/音频转写成文字稿 + 可选字幕,纯本地(不上传云端),用 sherpa-onnx X-ASR Zipformer transducer 模型(int8 量化、中英双语、自动标点)。已在 macOS Apple Silicon(int8 + AMX,~100× 实时)、Linux ARM64(CPU,~32× 实时)与 Windows(PowerShell…
Run when the user invokes /crossreview (or /crossreview:setup to choose the reviewers) or asks for a cross-review, a quorum review or a second opinion from other agents or models: fan a code review…
$ npx skills add coddy-project/coddy-agent --skill crossreview -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install coddy-project/coddy-agent crossreview --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/coddy-project/coddy-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/internal/skills/bundled/crossreview .claude/skills/crossreview && 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 "crossreview" agent skill from https://github.com/coddy-project/coddy-agent/tree/main/internal/skills/bundled/crossreview into .claude/skills/crossreview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "crossreview", 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/coddy-project/coddy-agent/tree/main/internal/skills/bundled/crossreviewType 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 coddy-project/coddy-agent --skill crossreview -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install coddy-project/coddy-agent crossreview --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/coddy-project/coddy-agent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/internal/skills/bundled/crossreview .agents/skills/crossreview && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "crossreview" agent skill from https://github.com/coddy-project/coddy-agent/tree/main/internal/skills/bundled/crossreview into .agents/skills/crossreview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "crossreview", 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 coddy-project/coddy-agent --skill crossreview -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install coddy-project/coddy-agent crossreview --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/coddy-project/coddy-agent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/internal/skills/bundled/crossreview .cursor/skills/crossreview && 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 "crossreview" agent skill from https://github.com/coddy-project/coddy-agent/tree/main/internal/skills/bundled/crossreview into .cursor/skills/crossreview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "crossreview", 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/coddy-project/coddy-agent.git --path internal/skills/bundled/crossreview--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 coddy-project/coddy-agent --skill crossreview -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install coddy-project/coddy-agent crossreview --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/coddy-project/coddy-agent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/internal/skills/bundled/crossreview .gemini/skills/crossreview && 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 "crossreview" agent skill from https://github.com/coddy-project/coddy-agent/tree/main/internal/skills/bundled/crossreview into .gemini/skills/crossreview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "crossreview", 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 coddy-project/coddy-agent crossreviewInstalls 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 coddy-project/coddy-agent --skill crossreview -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/coddy-project/coddy-agent.git skills-src && mkdir -p .github/skills && cp -r skills-src/internal/skills/bundled/crossreview .github/skills/crossreview && 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 "crossreview" agent skill from https://github.com/coddy-project/coddy-agent/tree/main/internal/skills/bundled/crossreview into .github/skills/crossreview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "crossreview", 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 coddy-project/coddy-agent --skill crossreview -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install coddy-project/coddy-agent crossreview --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/coddy-project/coddy-agent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/internal/skills/bundled/crossreview .opencode/skills/crossreview && 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 "crossreview" agent skill from https://github.com/coddy-project/coddy-agent/tree/main/internal/skills/bundled/crossreview into .opencode/skills/crossreview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "crossreview", 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.
crossreviewRun when the user invokes /crossreview (or /crossreview:setup to choose the reviewers) or asks for a cross-review, a quorum review or a second opinion from other agents or models: fan a code review…
Crossreview is an agent skill from coddy-project/coddy-agent. Run when the user invokes /crossreview (or /crossreview:setup to choose the reviewers) or asks for a cross-review, a quorum review or a second opinion from other agents or models: fan a code review (uncommitted work, a branch, a commit range, files, a plan or a document) out to several console code agents (Claude Code, Codex, Coddy, Cursor Agent, Devin, OpenCode, Gemini CLI, Qwen Code, Kimi, Koda) that review it in parallel and blind to each other, then, as the orchestrator, verify every finding against the code…
Its SKILL.md is about 3.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including scripts and reference files (for example `README.md`, `references/agents.md` and `references/brief.md`).
It sits in Agent Workflows. It works with Linux, macOS, Kimi and Qwen. The repository describes itself as: General-purpose agent in one static Go binary: console TUI, ACP server for editors, OpenAI-compatible API with embedded web UI, Telegram gateway, cron scheduler, swarm relay… The licence is MIT.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 4a416a0. It shows what the files ask for, not the result of running them.
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.
Ships 4 files in scripts/ (Python, PowerShell and Shell), which the agent can run.
Shell commands in SKILL.md call:
python3gitshFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.
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.
Crossreview loads about 3.3k tokens when it runs, and up to ~8k if it reads all its reference files. Until then it costs about 218 tokens; SKILL.md has 1,835 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 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.
The full file from coddy-project/coddy-agent at commit 4a416a0, republished under its MIT licence (© coddy-project). 1,835 words, ~3,294 tokens.
.claude/skills/crossreview/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.One brief is written, every reviewer gets that brief and nothing else, they all answer, and then the orchestrator alone decides: which findings are real, which matter, what to fix now and what not to fix. The reviewers advise; the last word is the orchestrator's: the subagent you hand the run to in step 3, or you. Their value is in the disagreement of different models, so pick reviewers from different vendors.
Three rules hold for the whole run:
<skill> below is the directory holding this SKILL.md; agents usually say where it is when they
load a skill (Claude Code's "Base directory", Coddy's "Skill directory"). If yours did not, take
the first of these that holds scripts/crossreview.py, and do not search the whole disk:
${CODDY_HOME:-~/.coddy}/skills/crossreview, then crossreview under ~/.claude/skills,
~/.codex/skills, ~/.cursor/skills, ~/.agents/skills, ~/.config/opencode/skills,
~/.config/devin/skills, and under the workspace's .claude/skills, .agents/skills,
.cursor/skills, .opencode/skills, .coddy/skills.
The helper is python3 <skill>/scripts/crossreview.py (py -3 or python on Windows), standard
library only, the same on Linux, macOS and Windows; every subcommand has --help. Without Python,
see the last section.
Who you are. Every helper command that reads or writes a roster takes --host <you>:
claude (Claude Code), codex, coddy, cursor, opencode, devin, gemini, qwen, kimi,
or your own name. The rosters are yours, kept where you keep your settings: the global one in your
home folder (~/.claude/crossreview.json, ${CODDY_HOME:-~/.coddy}/crossreview.json,
${CODEX_HOME:-~/.codex}/..., ~/.cursor/...), the local one in your folder of the project
(.claude/crossreview.json, .coddy/..., .codex/..., .cursor/...). An agent not on the list
uses ~/.agents and .agents. Claude Code is recognised without the flag.
Requirements. A shell and permission to write files: in a read-only mode (plan, ask) say so and stop. Reviewers call their model APIs and write their own session files, so a sandbox that blocks the network or writes outside the workspace (Codex's default) has to let the helper's commands out, or every reviewer fails.
Never recurse. If CROSSREVIEW_DEPTH is set in your environment, you are a reviewer: answer
the brief directly and do not start another crossreview.
Reviewers named in the request ("crossreview with cursor auto and coddy on codex/gpt-5.6-sol")
are a one-off list: pass each as --reviewer agent:model to the run and leave the roster alone.
Otherwise run crossreview.py roster --host <you>: it takes your local roster of this project when
there is one, else your global one, and you act on its exit code:
crossreview.py init --host <you> --scope <the same> --import <path> --refresh --force to move
the entries to the current templates.crossreview.py trust ... line it printed. On a no, use --scope global from then on.Setup, also whenever the user invokes /crossreview:setup, even if a roster exists:
crossreview.py detect prints one line per installed reviewer CLI. Offer only those.crossreview.py models <agent> and offer the ids it prints
(multiple choice); when it prints none, ask for the id as free text. Each (agent, model) pair
is one reviewer.crossreview.py init --host <you> --scope local|global <agent:model>... writes it (--force
over an existing one, --add to extend it, --import <file> to start from the reviewers
another agent already has). --min-reviewers N raises the quorum, --timeout S the time each
reviewer gets. A local roster written this way counts as approved.crossreview.py probe --host <you> sends every reviewer a one-word brief. Report each failure
with the reason it gives (not signed in, usage limit, unknown model) and offer to drop or fix
the entry.An internal reviewer is a subagent of a host agent on another model, written
internal/<host>:<model> (internal/claude:sonnet, internal/coddy:devin/swe-2). Only the host
it names runs it, read-only; other hosts skip it.
Take the scope from the request: the uncommitted work by default, or a branch against its base, a commit range, the staged changes, whole files, a plan or a document.
crossreview.py brief --out <tmp>/brief.md --intent "<what the change is meant to do>" \
[--base main | --range A..B | --staged | --files F... | --doc PLAN.md] [--exclude PATHSPEC...]--intent from the conversation: a reviewer judges a change by what it was meant to do.--tools read and give run a --cwd: a detached
worktree (git worktree add --detach), never the live checkout.--exclude. Past 150 KB split the review
by layer (backend, frontend, tests): small local models stall on long briefs.--notes-file adds your own notes for every reviewer alike: facts about the code, decisions you
already took in an earlier round. Write them yourself; never paste or paraphrase a reviewer's
answer and never say who raised what.Steps 1 and 2 were yours: the setup questions and the intent of the brief need the conversation.
Steps 4 to 6 are the orchestrator's, and whenever your host can start a subagent they run in one,
so the reviews, the checking of the code and the decisions stay out of your context. Do not run
crossreview.py run yourself in that case:
crossreview is the orchestrator. It is hidden, so it is not
among the agents you see listed, but spawn_agent accepts it: call it with
agent: "crossreview" in the foreground and a prompt naming the brief file, the roster file and
<skill>.general-purpose agent.
OpenCode: the task tool. Any other host whose subagents have a shell: the same. Start it in
the foreground with a prompt that says it is the crossreview orchestrator, that it reads
<skill>/SKILL.md and carries out steps 4 to 6, and that names the brief file, --host <you>,
and the roster file or the one-off --reviewer specs.The roster file is the path crossreview.py roster --host <you> printed; for one-off reviewers in
Coddy, write one with crossreview.py init --host coddy --path <tmp>/roster.json agent:model ....
The subagent's report is the final word: relay it to the user as it is, and you are done. Carry
out steps 4 to 6 yourself only when your host has no subagents, when the roster holds internal
reviewers of yours that your subagents could not start, or when you are that subagent.
crossreview.py run --host <you> --brief <tmp>/brief.md [--reviewer agent:model ...] [--scope global]
crossreview.py wait <run> --max 240run prints every exact command, then starts them in the background. Repeat wait while it exits
3. Keep --max under your shell tool's time limit; the reviewers run detached, so a cut-off wait
loses nothing. Each reviewer has a time limit (45 minutes unless the roster says otherwise).
When the run has finished, look at every reviewer that did not answer:
crossreview.py retry <run> <name>, then wait again;--timeout, or recover the answer from its session with the
resume command of that CLI in references/agents.md;run marks the internal reviewers that belong to you as host: start one read-only subagent
per entry on its model while the CLIs run, with the brief file as its whole prompt, and write each
answer to the path the status names.
crossreview.py collect <run> prints every answer, and the error of every reviewer that failed.
path:line, follow the callers, reproduce it
with a test or a command when you can. Reviewers working from a diff take a removed line for
current code and miss guards elsewhere.## Verdict: approve, approve with changes or needs rework, and one sentence why. Yours.## Reviewers: who answered (agent, model, time), who did not and why, retries included.## Fix: by severity, each with path:line, the problem, the fix, who raised it, how you
verified it.## Not worth fixing, ## Rejected, ## Open: briefly, each with its reason or evidence.## Quorum: answered N of M. Under min_reviewers write insufficient quorum and call the
verdict advisory.Apply the fixes only if the user asked for that. A second round reviews the fixed change with a fresh brief, and its reviewers again see nothing of the first round's answers.
references/agents.md: every reviewer CLI, its template, how it is kept read-only, known
failures, and how to recover an answer from a reviewer that timed out.references/roster.md: the roster format, where each agent keeps it, the approvals of a
project's roster.references/brief.md: the brief format, for writing one by hand.sh <skill>/scripts/detect-agents.sh (powershell -ExecutionPolicy Bypass -File <skill>\scripts\detect-agents.ps1 on Windows) prints the same detection lines. Write the roster
by hand (references/roster.md) and the brief by hand (references/brief.md). For each reviewer
substitute the quoted paths of the brief and of its output file for {brief} and {out}, put
CROSSREVIEW_DEPTH=1 in front of the command ($env:CROSSREVIEW_DEPTH = '1'; in PowerShell) so
the reviewer knows not to start a crossreview of its own, and start it with your own background
shell tool in an empty directory, each under a time limit; wait for all of them, then continue at
step 5.
© coddy-project, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 9 other files (scripts, references) in internal/skills/bundled/crossreview of coddy-project/coddy-agent.
Open the folder on GitHubat commit 4a416a0
Crossreview 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 |
|---|---|---|---|---|---|---|
| Crossreview this skillcoddy-project/coddy-agent | 167 | — | ~3.3k | Automated safety check: Pass | MIT | |
| Local Asrysyecust/lecture-to-notes | 273 | — | ~1.6k | Automated safety check: Pass | Custom licence | |
| Apple Container Test RunnerRustPython/RustPython | 22k | — | ~467 | Automated safety check: Pass | MIT | |
| Remote Hostslibnativeapi/nativeapi | 162 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Flutter UI Probelibnativeapi/nativeapi | 162 | — | ~988 | Automated safety check: Pass | MIT | |
| Yolo Detection 2026 Coral Tpu macOSSharpAI/DeepCamera | 3.1k | — | ~1.2k | Automated safety check: Pass | MIT |
ysyecust/lecture-to-notes
把本地长视频/音频转写成文字稿 + 可选字幕,纯本地(不上传云端),用 sherpa-onnx X-ASR Zipformer transducer 模型(int8 量化、中英双语、自动标点)。已在 macOS Apple Silicon(int8 + AMX,~100× 实时)、Linux ARM64(CPU,~32× 实时)与 Windows(PowerShell…
RustPython/RustPython
Runs RustPython tests inside a Linux container built with Apple's container CLI, so macOS users can compare Linux results with their local ones.
libnativeapi/nativeapi
Build, run, and GUI-test on another machine over SSH — the user's Windows laptop today, Linux or other macOS machines tomorrow — with one symmetric CLI for every OS: push scripts, run them either in…
libnativeapi/nativeapi
Find where widgets are on screen in a running debug Flutter desktop app (macOS, Windows, Linux) by reading its render tree through the VM service — no hard-coded coordinates, no screenshots, works…
SharpAI/DeepCamera
Google Coral Edge TPU — real-time object detection natively (macOS / Linux)
liushunqi8-hash/editaplot2026
Analyze local scientific CSV, TXT, XLS, or XLSX data; recommend publication-informed charts and Chinese scientific palettes; freeze a reproducible plan; and automate editable figures through a…
coddy-project/coddy-agent
Run when the user invokes /rpa-init or asks to onboard or warm up context on a repository.
coddy-project/coddy-agent
A skill your agent uses when the user invokes /rpa-gen-rules or asks to create, refresh, audit, or synchronize project instructions such as root AGENTS.md, Cursor .cursor/rules, or Claude Code…
coddy-project/coddy-agent
Change Coddy's own configuration when the user asks for it: edit settings, providers, models, logging, permissions, or find, install, update, and remove MCP servers and skills.
coddy-project/coddy-agent
Run when the user invokes /rpa-bugfix together with a clear bug description (expected vs actual, reproduction).
coddy-project/coddy-agent
Run when the user invokes /rpa-feat together with a clear feature description (for example issue text).
Categories
Run when the user invokes /crossreview (or /crossreview:setup to choose the reviewers) or asks for a cross-review, a quorum review or a second opinion from other agents or models: fan a code review…. Crossreview is an agent skill from coddy-project/coddy-agent.
Crossreview fits situations like: invokes /crossreview (or /crossreview:setup to choose the reviewers); asks for a cross-review; A quorum review; A second opinion from other agents.
Run `npx skills add coddy-project/coddy-agent --skill crossreview -a claude-code`. Or copy the skill folder (internal/skills/bundled/crossreview in coddy-project/coddy-agent) into .claude/skills/crossreview in your project. Claude Code loads it when a task matches its description.
Run `npx skills add coddy-project/coddy-agent --skill crossreview -a codex`. Or copy the skill folder (internal/skills/bundled/crossreview in coddy-project/coddy-agent) into .agents/skills/crossreview 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 coddy-project/coddy-agent --skill crossreview -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/crossreview, .gemini/skills/crossreview, .github/skills/crossreview and .opencode/skills/crossreview in your project.
Going by SKILL.md and its folder, Crossreview needs Python, PowerShell and a shell for the scripts in its folder and the command-line tools its instructions call (python3, git and sh). Our summary lists: Python 3; A Bash shell; PowerShell.
SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
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.
Crossreview is published under the MIT licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.3k tokens (SKILL.md is roughly 13k 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 4.7k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Crossreview: Local Asr (ysyecust/lecture-to-notes, 273 stars), Apple Container Test Runner (RustPython/RustPython, 22k stars), Remote Hosts (libnativeapi/nativeapi, 162 stars) and Flutter UI Probe (libnativeapi/nativeapi, 162 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
coddy-project (a GitHub organization) maintains it in coddy-project/coddy-agent, which has 167 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on October 9, 2026.
Source: coddy-project/coddy-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.