ExecuTorch Knowledge Base
pytorch/executorch
Answers ExecuTorch questions from a local wiki on backends, export pitfalls, quantization recipes, runtime errors and SoC compatibility.
Audit and update this repository's canonical remote surface state machine after implementing changes to remote-surface state-machine logic carriers such as attach/detach/use/follow state predicates…
Install Remote State Machine Guardrail
$ npx skills add kxn/codex-remote-feishu --skill remote-state-machine-guardrail -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install kxn/codex-remote-feishu remote-state-machine-guardrail --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/kxn/codex-remote-feishu.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/remote-state-machine-guardrail .claude/skills/remote-state-machine-guardrail && 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 "remote-state-machine-guardrail" agent skill from https://github.com/kxn/codex-remote-feishu/tree/master/.codex/skills/remote-state-machine-guardrail into .claude/skills/remote-state-machine-guardrail/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remote-state-machine-guardrail", 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/kxn/codex-remote-feishu/tree/master/.codex/skills/remote-state-machine-guardrailType 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 kxn/codex-remote-feishu --skill remote-state-machine-guardrail -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install kxn/codex-remote-feishu remote-state-machine-guardrail --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kxn/codex-remote-feishu.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.codex/skills/remote-state-machine-guardrail .agents/skills/remote-state-machine-guardrail && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "remote-state-machine-guardrail" agent skill from https://github.com/kxn/codex-remote-feishu/tree/master/.codex/skills/remote-state-machine-guardrail into .agents/skills/remote-state-machine-guardrail/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remote-state-machine-guardrail", 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 kxn/codex-remote-feishu --skill remote-state-machine-guardrail -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install kxn/codex-remote-feishu remote-state-machine-guardrail --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kxn/codex-remote-feishu.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.codex/skills/remote-state-machine-guardrail .cursor/skills/remote-state-machine-guardrail && 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 "remote-state-machine-guardrail" agent skill from https://github.com/kxn/codex-remote-feishu/tree/master/.codex/skills/remote-state-machine-guardrail into .cursor/skills/remote-state-machine-guardrail/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remote-state-machine-guardrail", 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/kxn/codex-remote-feishu.git --path .codex/skills/remote-state-machine-guardrail--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 kxn/codex-remote-feishu --skill remote-state-machine-guardrail -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install kxn/codex-remote-feishu remote-state-machine-guardrail --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kxn/codex-remote-feishu.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.codex/skills/remote-state-machine-guardrail .gemini/skills/remote-state-machine-guardrail && 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 "remote-state-machine-guardrail" agent skill from https://github.com/kxn/codex-remote-feishu/tree/master/.codex/skills/remote-state-machine-guardrail into .gemini/skills/remote-state-machine-guardrail/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remote-state-machine-guardrail", 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 kxn/codex-remote-feishu remote-state-machine-guardrailInstalls 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 kxn/codex-remote-feishu --skill remote-state-machine-guardrail -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/kxn/codex-remote-feishu.git skills-src && mkdir -p .github/skills && cp -r skills-src/.codex/skills/remote-state-machine-guardrail .github/skills/remote-state-machine-guardrail && 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 "remote-state-machine-guardrail" agent skill from https://github.com/kxn/codex-remote-feishu/tree/master/.codex/skills/remote-state-machine-guardrail into .github/skills/remote-state-machine-guardrail/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remote-state-machine-guardrail", 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 kxn/codex-remote-feishu --skill remote-state-machine-guardrail -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install kxn/codex-remote-feishu remote-state-machine-guardrail --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kxn/codex-remote-feishu.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.codex/skills/remote-state-machine-guardrail .opencode/skills/remote-state-machine-guardrail && 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 "remote-state-machine-guardrail" agent skill from https://github.com/kxn/codex-remote-feishu/tree/master/.codex/skills/remote-state-machine-guardrail into .opencode/skills/remote-state-machine-guardrail/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remote-state-machine-guardrail", 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
remote-state-machine-guardrail- GitHub stars
- 329
- Token cost
- ~1.3k tokens
- SKILL.md length
- 636 words
- Files
- 2
- Skills in repo
- 9
- Repo updated
- First seen
- Licence
- None found
At a glance
Audit and update this repository's canonical remote surface state machine after implementing changes to remote-surface state-machine logic carriers such as attach/detach/use/follow state predicates…
- Works in 5 steps: Read only the canonical document… → Read the touched code paths. → Sync only the affected current-behavior… → …
- Tasks that involve Debugging
- SKILL.md covers Fast Path For state-light, Workflow, Update Rules and Validation Floor, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Remote State Machine Guardrail is an agent skill from kxn/codex-remote-feishu. Audit and update this repository's canonical remote surface state machine after implementing changes to remote-surface state-machine logic carriers such as attach/detach/use/follow state predicates, routing decisions, headless lifecycle progression, queue/dispatch gating, request-capture gates, or command-availability logic. Use after implementation stabilizes and before committing. Reopen docs/general/remote-surface-state-machine.md, sync the current behavior, audit dead or half-dead user states, fix bug-grade…
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).
It sits in AI & LLM Engineering, covering Debugging. The repository describes itself as: Yet another codex remote in feishu.
When your agent uses it
- Tasks that involve Debugging
Example prompts
- “/remote-state-machine-guardrail”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Read only the canonical document section(s) that describe the touched state, command, or transition. Locate sections with headings or…
- Read the touched code paths.
- Sync only the affected current-behavior text in the canonical document.
- Audit the changed path for dead or half-dead states.
- Run focused tests for the touched path and scripts/check/pre-commit.sh.
What it can do on your machine
Read from SKILL.md and the folder at commit 4522572. 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.
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
Remote State Machine Guardrail loads about 1.3k tokens when it runs. Until then it costs about 158 tokens; SKILL.md has 636 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
Without a licence we can't republish the file, so here is its outline and opening line. It has 636 words (~1,291 tokens).
“Treat docs/general/remote-surface-state-machine.md as the canonical reference for current remote surface behavior.”
- name
- remote-state-machine-guardrail
Files
SKILL.md and 1 other file in .codex/skills/remote-state-machine-guardrail of kxn/codex-remote-feishu.
- SKILL.md
- agents/openai.yaml
Open the folder on GitHubat commit 4522572
Compare with similar skills
Remote State Machine Guardrail 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 |
|---|---|---|---|---|---|---|
| Remote State Machine Guardrail this skillkxn/codex-remote-feishu | 329 | — | ~1.3k | Automated safety check: Pass | None | |
| ExecuTorch Knowledge Basepytorch/executorch | 5.1k | — | ~1.3k | Automated safety check: Pass | Custom licence | |
| RAG Troubleshootlyonzin/knowledge-rag | 292 | — | ~1.8k | Automated safety check: Pass | MIT | |
| ML Failure DebuggerLeeroo-AI/superml | 195 | — | ~9.5k | Automated safety check: Pass | Apache-2.0 | |
| Debug Flydsl KernelROCm/FlyDSL | 290 | — | ~2.6k | Automated safety check: Notes | Custom licence | |
| Debugging Signals PipelinePostHog/posthog | 40k | — | ~2.4k | Automated safety check: Notes | Custom licence |
Similar skills
RAG Troubleshoot
lyonzin/knowledge-rag
When the user reports a bug, error message, stack trace, unexpected behavior, or "why is this broken" question, search the corpus first for prior occurrences, known fixes, or related runbooks.
ML Failure Debugger
Leeroo-AI/superml
Diagnoses failing ML and AI work, such as OOM, NaN, divergence, crashes, slow throughput, wrong outputs and dependency conflicts, with every claim backed by documentation citations.
Debug Flydsl Kernel
ROCm/FlyDSL
Debug FlyDSL GPU kernels that produce NaN, inf, wrong results, or crash.
- Official
Debugging Signals Pipeline
PostHog/posthog
Debug the signals pipeline locally end-to-end. An agent skill from PostHog/posthog.
Debug Render
artokun/comfyui-mcp
Debug a WRONG or imperfect render (not a hard error) by inspecting inputs and intermediate steps with run-to-node.
More from kxn/codex-remote-feishu
All 9 skills in this repoIssue Workflow Guardrail
kxn/codex-remote-feishu
A skill your agent uses when handling a GitHub issue in this repository: raw issue shaping, implementability reassessment, fast/full classification, parent/child orchestration, execution snapshots…
Local Upgrade
kxn/codex-remote-feishu
A skill your agent uses when the user asks for this repository's local upgrade flow: 本地升级, 拉最新代码后升级本地 daemon, upgrade-local.sh, or triggering the built-in local upgrade transaction from a repo build.
Safe Push
kxn/codex-remote-feishu
A skill your agent uses when pushing committed changes from this repository, especially when git push may fail because the remote branch advanced.
Issue Doc Sync
kxn/codex-remote-feishu
A skill your agent uses when syncing closed GitHub issues back into repo docs.
Relay Stack Playbook
kxn/codex-remote-feishu
A skill your agent uses when working on this repository's relay stack: Codex app-server protocol translation, relayd, relay-wrapper, Feishu bot integration, VS Code remote integration, or real-stack…
Build Page Mock
kxn/codex-remote-feishu
A skill your agent uses when creating or revising a page mock, browser-runnable prototype, or interactive demo for this repository's web, setup, onboarding, status, or admin pages, and also when…
Related
Categories
Questions about Remote State Machine Guardrail
What does Remote State Machine Guardrail do?
Audit and update this repository's canonical remote surface state machine after implementing changes to remote-surface state-machine logic carriers such as attach/detach/use/follow state predicates…. Remote State Machine Guardrail is an agent skill from kxn/codex-remote-feishu. Audit and update this repository's canonical remote surface state machine after implementing changes to remote-surface state-machine logic carriers such as attach/detach/use/follow state predicates, routing decisions, headless lifecycle progression, queue/dispatch gating, request-capture gates, or command-availability logic.
When should I use Remote State Machine Guardrail?
Remote State Machine Guardrail fits situations like: tasks that involve Debugging.
How do I install Remote State Machine Guardrail in Claude Code?
Run `npx skills add kxn/codex-remote-feishu --skill remote-state-machine-guardrail -a claude-code`. Or copy the skill folder (.codex/skills/remote-state-machine-guardrail in kxn/codex-remote-feishu) into .claude/skills/remote-state-machine-guardrail in your project. Claude Code loads it when a task matches its description.
How do I install Remote State Machine Guardrail in Codex?
Run `npx skills add kxn/codex-remote-feishu --skill remote-state-machine-guardrail -a codex`. Or copy the skill folder (.codex/skills/remote-state-machine-guardrail in kxn/codex-remote-feishu) into .agents/skills/remote-state-machine-guardrail in your project. Codex loads it when a task matches its description.
Can I use Remote State Machine Guardrail 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 kxn/codex-remote-feishu --skill remote-state-machine-guardrail -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/remote-state-machine-guardrail, .gemini/skills/remote-state-machine-guardrail, .github/skills/remote-state-machine-guardrail and .opencode/skills/remote-state-machine-guardrail in your project.
What does Remote State Machine Guardrail need to run?
SKILL.md names no scripts, command-line tools or credentials: Remote State Machine Guardrail is instructions for the agent only.
Does Remote State Machine Guardrail 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 Remote State Machine Guardrail 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 Remote State Machine Guardrail use?
No licence was found for Remote State Machine Guardrail or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Remote State Machine Guardrail use?
About 1.3k tokens (SKILL.md is roughly 5.2k 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 Remote State Machine Guardrail?
Skills that share tags, products or a category with Remote State Machine Guardrail: ExecuTorch Knowledge Base (pytorch/executorch, 5.1k stars), RAG Troubleshoot (lyonzin/knowledge-rag, 292 stars), ML Failure Debugger (Leeroo-AI/superml, 195 stars) and Debug Flydsl Kernel (ROCm/FlyDSL, 290 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Remote State Machine Guardrail?
kxn (a GitHub user) maintains it in kxn/codex-remote-feishu, which has 329 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on October 1, 2026.
Source: kxn/codex-remote-feishu on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.