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 check-contextgit 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/check-context)<a href="https://agentmods.dev/skills/zylos-ai/zylos-core/check-context"><img src="https://agentmods.dev/badge/skills/zylos-ai/zylos-core/check-context/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/check-context"><img src="https://agentmods.dev/badge/skills/zylos-ai/zylos-core/check-context.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00032 | $0.00642 |
| Opus 5 | $0.00016 | $0.00321 |
| Sonnet 5 | $0.00006 | $0.00128 |
| Haiku 4.5 | $0.00003 | $0.00064 |
Grade A, and why
check-context 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 10d 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 — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Check Context Skill
Check current context/token usage. The data source depends on the active runtime.
When to Use
- When the user asks about context usage
- When the user wants to know token consumption
How to Use
First, check the active runtime:
node -e "try { const c=JSON.parse(require('fs').readFileSync(require('path').join(process.env.HOME,'zylos/.zylos/config.json'),'utf8')); console.log(c.runtime||'claude'); } catch { console.log('claude'); }"
If Claude runtime
Read the statusLine data file (updated after every turn):
cat ~/zylos/activity-monitor/statusline.json
Report from the JSON:
- Context usage:
context_window.used_percentage% used,context_window.remaining_percentage% remaining - Tokens:
context_window.total_input_tokensinput,context_window.total_output_tokensoutput (window size:context_window.context_window_size) - Session cost:
cost.total_cost_usd - Model:
model.display_name
If Codex runtime
Read token usage from the most recently modified Codex JSONL session file:
node -e "
const fs=require('fs'),path=require('path');
const base=path.join(process.env.HOME,'.codex/sessions');
let best=null,bestMtime=0;
function walk(d,depth){if(depth>3)return;try{fs.readdirSync(d).forEach(f=>{const p=path.join(d,f);try{const s=fs.statSync(p);if(s.isDirectory())walk(p,depth+1);else if(f.startsWith('rollout-')&&f.endsWith('.jsonl')&&s.mtimeMs>bestMtime){bestMtime=s.mtimeMs;best=p;}}catch{}});}catch{}}
walk(base,0);
if(!best){console.log('No session found');process.exit(0);}
const lines=fs.readFileSync(best,'utf8').split('\n').filter(Boolean);
for(let i=lines.length-1;i>=0;i--){try{const j=JSON.parse(lines[i]);if(j.type==='event_msg'&&j.payload?.type==='token_count'&&j.payload.info.last_token_usage){const u=j.payload.info.last_token_usage.input_tokens;const c=j.payload.info.model_context_window||128000;console.log('used:'+u+' ceiling:'+c+' pct:'+Math.round(u/c*100)+'%');process.exit(0);}}catch{}}
console.log('No token_count event found');
"
What ships with it
1 file 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.
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.
- 10d ago First seen · 59 lines · 32 tokens per session scan A 35f638d3a6c8
check-context is a skill published in the GitHub repository zylos-ai/zylos-core (1,151 stars, last pushed yesterday), licensed MIT. It adds 32 tokens to every session and 642 once invoked, about $0.0002 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.
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