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 zhengbingquant/frontier-skills --skill live-system-guardrailsgit clone --depth 1 https://github.com/zhengbingquant/frontier-skillsWrote 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/zhengbingquant/frontier-skills/live-system-guardrails)<a href="https://agentmods.dev/skills/zhengbingquant/frontier-skills/live-system-guardrails"><img src="https://agentmods.dev/badge/skills/zhengbingquant/frontier-skills/live-system-guardrails/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/zhengbingquant/frontier-skills/live-system-guardrails"><img src="https://agentmods.dev/badge/skills/zhengbingquant/frontier-skills/live-system-guardrails.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 | $0.00130 | $0.02229 |
| Opus 5 | $0.00065 | $0.01115 |
| Sonnet 5 | $0.00026 | $0.00446 |
| Haiku 4.5 | $0.00013 | $0.00223 |
Grade A, and why
live-system-guardrails scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
1. `grep -rlE 'requests|httpx|urllib|socket|websocket' tests/ | head` — do How it starts
The opening of the file, as written. The whole thing — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Live System Guardrails
A live system is one where a wrong command loses money, drops traffic, or corrupts real state — and where "undo" may not exist. This skill gives mechanical rules for (1) detecting that you are in one, (2) what you may and may not do there, and (3) how to change things when a change is genuinely authorized.
The prime rule: when uncertain, classify as LIVE. Misclassifying a dev box as live costs politeness; misclassifying a live system as dev can cost real money.
1. Detect — run these read-only probes
All probes below are safe. Run them on first contact with an unfamiliar repo or host, before forming any plan that changes state.
- Dependencies: search manifests for high-stakes SDKs:
grep -riE 'futu|moomoo|ib_insync|ibapi|ccxt|alpaca|binance|stripe|braintree|plaid|twilio|boto3|google-cloud|kubernetes' requirements*.txt pyproject.toml package.json 2>/dev/nullA hit means the code CAN talk to brokers, payments, or infrastructure. - Docs:
grep -rilE 'live trading|production|real money|live account' README* docs/ 2>/dev/null - Credentials present (check NAMES only — never print values):
ls -la .env* config/ 2>/dev/nullandgrep -oE '^[A-Z0-9_]+' .env 2>/dev/null— look for names containing LIVE, PROD, REAL, SECRET, API_KEY. - Running processes:
pgrep -af 'python|node|java|OpenD|gateway|server'filtered to this project's paths. A repo whose entry point is currently running is live until proven otherwise. Do not paste full command lines into your report if they may contain secrets. - Scheduled jobs:
crontab -l 2>/dev/nullandsystemctl --user list-units --type=service --state=running 2>/dev/null. - Fresh state:
ls -lt logs/ data/ results/ 2>/dev/null | head— files modified within the last day mean something is actively using this repo. - Listening ports and containers:
ss -tln 2>/dev/null | headanddocker ps 2>/dev/null— a service listening on a port or a running container tied to this project is a strong live signal.
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.
- 12d ago First seen · 179 lines · 130 tokens per session scan A 55b119fddcda
live-system-guardrails is a skill published in the GitHub repository zhengbingquant/frontier-skills (2 stars, last pushed 2mo ago), licensed MIT. It adds 130 tokens to every session and 2,229 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
implementation-readiness
Verify BRD-lite, PRD, SRS/FRS, UX, and test prerequisites before implementation starts.
skill-benchmark
Benchmark AI skill effectiveness by measuring implementation quality against legacy constraints.
test-loop
Plan, generate, and heal an executable E2E test suite from approved acceptance criteria (web and mobile).
retro-learn
Convert delivery findings into skill, eval, workflow, and documentation improvements.
JavaScript Tooling
Development tools, linting, and testing for JavaScript projects.
codebase-review
Review an entire codebase for architecture, engineering health, and exploitable risk; generate a prioritized remediation plan, an evidence-anchored system knowledge document, or both.