Zylos is open-source infrastructure that gives an AI agent persistent memory, scheduled activity, communication channels, and the ability to maintain and extend itself. Individuals and teams use it with Claude Code or Codex through Telegram, Lark, or a web console. Its catalogue add-ons define settings, instructions, and skills for operating the agent.
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 zylos-ai/zylos-core --skill comm-bridgegit clone --depth 1 https://github.com/zylos-ai/zylos-coreWrote 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/zylos-ai/zylos-core/comm-bridge)<a href="https://agentmods.dev/skills/zylos-ai/zylos-core/comm-bridge"><img src="https://agentmods.dev/badge/skills/zylos-ai/zylos-core/comm-bridge/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/zylos-ai/zylos-core/comm-bridge"><img src="https://agentmods.dev/badge/skills/zylos-ai/zylos-core/comm-bridge.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 81 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Excessive Agency · line 84 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Excessive Agency · line 84 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00117 | $0.01150 |
| Opus 5 | $0.00059 | $0.00575 |
| Sonnet 5 | $0.00023 | $0.00230 |
| Haiku 4.5 | $0.00012 | $0.00115 |
Grade A, and why
comm-bridge 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 — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Communication Bridge (C4)
Central message hub - ALL communication with Claude goes through C4.
Architecture
Web Console ──┐
Telegram ───┼──► C4 Bridge ◄──► Claude
Lark ───┘
Components
| Script | Purpose | Reference |
|---|---|---|
c4-receive.js |
External → Claude (queue incoming messages) | c4-receive |
c4-send.js |
Claude → External (route outgoing messages) | c4-send |
c4-control.js |
System control plane (heartbeat, maintenance) | c4-control |
c4-dispatcher.js |
PM2 daemon: polls pending queue, delivers to tmux | — |
c4-session-init.js |
Hook (session start): context + Memory Sync trigger | hooks |
c4-fetch.js |
Fetch conversations by id range | c4-fetch |
c4-db.js |
Database module and CLI for querying conversations and checkpoints | c4-db |
c4-checkpoint.js |
Create/query checkpoints (sync boundaries) | c4-checkpoint |
Sending Messages
# Send to Telegram DM
cat <<'EOF' | node ~/zylos/.claude/skills/comm-bridge/scripts/c4-send.js telegram 8101553026
Hello! Quotes, $vars, **markdown** — all safe via stdin.
EOF
# Send to Lark group thread
cat <<'EOF' | node ~/zylos/.claude/skills/comm-bridge/scripts/c4-send.js lark "chat_xxx|type:group|root:msg_yyy"
Report ready.
EOF
Always pipe messages via stdin heredoc — never pass as CLI arguments. See c4-send for full reference. Treat the heredoc wrapper as fixed shell syntax: only the message body goes between the start line and the closing terminator line, and the terminator itself must never be copied into the actual outgoing message.
Database
SQLite at ~/zylos/comm-bridge/c4.db:
conversations: All messages (in/out) with priority, status, retry trackingcheckpoints: Recovery points with conversation id rangescontrol_queue: System control messages (heartbeat, maintenance) with priority, ack deadlines, and status lifecycle
What ships with it
37 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.
- init-db.sql 3.2 KB
- package-lock.json 16 KB
- package.json 436 B
- references/c4-checkpoint.md 2.0 KB
- references/c4-control.md 4.7 KB
- references/c4-db.md 2.6 KB
- references/c4-fetch.md 744 B
- references/c4-receive.md 3.7 KB
- references/c4-send.md 3.0 KB
- references/hooks.md 686 B
- scripts/__tests__/c4-checkpoint-cli.test.js 6.7 KB runs code
- scripts/__tests__/c4-control-cli.test.js 8.6 KB runs code
- scripts/__tests__/c4-conversations-budget.test.js 11 KB runs code
- scripts/__tests__/c4-db-checkpoint.test.js 8.5 KB runs code
- scripts/__tests__/c4-db-cli.test.js 2.8 KB runs code
- scripts/__tests__/c4-db-control.test.js 22 KB runs code
- scripts/__tests__/c4-dispatcher-pure.test.js 20 KB runs code
- scripts/__tests__/c4-fetch-cli.test.js 4.6 KB runs code
- scripts/__tests__/c4-receive.test.js 28 KB runs code
- scripts/__tests__/c4-send-cli.test.js 6.5 KB runs code
- scripts/__tests__/c4-session-init-cli.test.js 6.4 KB runs code
- scripts/__tests__/c4-utils-spill.test.js 6.2 KB runs code
- scripts/__tests__/session-format.test.js 1.0 KB runs code
- scripts/c4-checkpoint.js 2.6 KB runs code
- scripts/c4-config.js 2.8 KB runs code
- scripts/c4-control.js 4.4 KB runs code
- scripts/c4-db.js 26 KB runs code
- scripts/c4-diagnostic.js 3.4 KB runs code
- scripts/c4-dispatcher.js 25 KB runs code
- scripts/c4-fetch.js 2.2 KB runs code
- scripts/c4-receive.js 12 KB runs code
- scripts/c4-send.js 5.8 KB runs code
- scripts/c4-session-init.js 6.9 KB runs code
- scripts/c4-utils.js 2.3 KB runs code
- scripts/c4-validate.js 973 B runs code
- scripts/session-format.js 1.2 KB runs code
- scripts/tmux-input-state.js 3.2 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 · 95 lines · 117 tokens per session scan A abd5d502709b
comm-bridge is a skill published in the GitHub repository zylos-ai/zylos-core (1,151 stars, last pushed 3d ago), licensed MIT. It adds 117 tokens to every session and 1,150 once invoked, about $0.0006 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
error-recovery-skill
Handle errors gracefully with retry strategies and fallback patterns.
multi-tool-orchestration-skill
Coordinate multiple tools together for complex multi-step tasks.
tikhub-skill
Scrape TikTok, Douyin, Instagram, YouTube, Twitter/X, Xiaohongshu, Bilibili, Kuaishou, Weibo, Reddit, Threads, LinkedIn and more through the TikHub pay-per-request API - discover endpoints, call them by id, parse any share URL, and check account balance.
proxy-config-skill
Configure residential proxy providers and make proxied HTTP requests with geo-targeting.
install-openviking-memory
Install and configure the OpenViking long-term memory plugin for OpenClaw via natural conversation. Once installed, the plugin automatically captures facts from chats and recalls relevant context before each reply (auto-capture + auto-recall, cross-session). Covers prerequisites, install through OpenClaw's plugin…
agentic-loop-skill
Autonomous decision loop with reflection and iteration.