Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add xyva-yuangui/XyvaClaw --skill error-guardgit clone --depth 1 https://github.com/xyva-yuangui/XyvaClawWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/xyva-yuangui/xyvaclaw/error-guard)<a href="https://agentmods.dev/skills/xyva-yuangui/xyvaclaw/error-guard"><img src="https://agentmods.dev/badge/skills/xyva-yuangui/xyvaclaw/error-guard/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/xyva-yuangui/xyvaclaw/error-guard"><img src="https://agentmods.dev/badge/skills/xyva-yuangui/xyvaclaw/error-guard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00003 | $0.00594 |
| Opus 5 | $0.00002 | $0.00297 |
| Sonnet 5 | $0.00001 | $0.00119 |
| Haiku 4.5 | $0.00000 | $0.00059 |
Grade A, and why
error-guard scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
error-guard
⚠️ System‑level skill (Advanced users)
This skill defines the control‑plane safety primitives for OpenClaw. It is intentionally minimal, non‑blocking, and designed to prevent agent freezes, deadlocks, and unrecoverable states when running long‑lived or high‑risk workloads.
Design Principles
Warning: This skill operates at the agent control‑plane level. It should be installed only by users who understand OpenClaw’s execution model and are running workloads that can block, hang, or run for extended periods.
- Main agent never blocks: no long exec, no external I/O, no LLM calls.
- Event-driven: workers emit events; the control plane listens.
- Fail-safe first: recovery commands must always respond.
- Minimal state: track only task metadata (never payloads).
Command Surface (Phase 1)
/status
Report current system health and task registry state.
Returns:
- Active tasks (taskId, type, state)
- Start time and last heartbeat
- Flags for stalled or overdue tasks
Constraints:
- Must run in constant time
- Must not call any model or external API
/flush
Emergency stop.
Immediately:
- Cancel all active tasks
- Kill active exec/process sessions
- Clear pending message queue
- Reset in-memory task registry
Constraints:
- Must always respond
- No waiting on workers
- No model calls
/recover
Safe recovery sequence.
Steps:
- Execute
/flush - Reset control-plane state
- Optionally reload skills/state (no container restart)
Future Extensions (Not Implemented Yet)
- Sub-agent runner helper (event-driven)
- Task watchdogs with TTL and silence detection
- Structured event protocol (task.started, task.heartbeat, task.completed, ...)
- Back-pressure and task classes (interactive / batch / background)
Security & Privacy
- This skill does not store payloads, prompts, messages, or model outputs
- Only minimal task metadata is persisted (taskId, timestamps, state)
- No API keys, credentials, or user data are read or written
- Safe to publish and share publicly
What ships with it
13 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- _meta.json 177 B
- .clawhub/origin.json 143 B
- benchmark-worker.ts 1.6 KB runs code
- control.ts 2.7 KB runs code
- events.ts 575 B runs code
- examples/README.md 700 B
- heartbeat.ts 746 B runs code
- moltbook-worker.ts 1.8 KB runs code
- scripts/check.py 358 B runs code
- spawn.ts 679 B runs code
- state.ts 797 B runs code
- watchdog.ts 1.1 KB runs code
- worker-events.ts 1.0 KB runs code
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 91 lines · 3 tokens per session scan A 6ebe8c08b736
error-guard is a skill published in the GitHub repository xyva-yuangui/XyvaClaw (21 stars, last pushed 1mo ago), licensed MIT. It adds 3 tokens to every session and 594 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
technology-search
Search tech blogs, developer forums, and IT media (TechCrunch, Hacker News, 36氪, etc.) for software and hardware industry updates with heat ranking and EN↔CN translation. Use this skill only when the topic is clearly about programming, software, hardware, AI, or IT infrastructure.
develop-web-game
Use when Codex is building or iterating on a web game (HTML/JS) and needs a reliable development + testing loop: implement small changes, run a Playwright-based test script with short input bursts and intentional pauses, inspect screenshots/text, and review console errors with rendergametotext.
imap-smtp-email
Read and send email via IMAP/SMTP. Check for new/unread messages, fetch content, search mailboxes, mark as read/unread, and send emails with attachments. Works with any IMAP/SMTP server including Gmail, Outlook, 163.com, vip.163.com, 126.com, vip.126.com, 188.com, and vip.188.com.
article-writer
Multi-style article creation skill. Supports 5 writing styles (deep analysis, practical guide, story-driven, opinion, news brief), including complete workflow: material collection → outline → content → formatting. Activated when users mention "write article", "write post", "create", or "draft".
skin-creator
Create and apply a two-asset LobsterAI visual skin from the user's style description. Use only when the AI Skin Designer kit supplies the structured skinpack workflow marker; do not use for ordinary theme or image requests.
content-planner
WeChat Official Account topic planning and content calendar management. Based on WeChat article search and trending analysis, generates differentiated topic recommendations and outputs structured content calendars. Activated when users mention "topic", "planning", "content calendar", "trending", or "what to write next…