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.
git clone --depth 1 https://github.com/j4flmao/agent-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/rules/j4flmao/agent-skills/distributed-safeguards)<a href="https://agentmods.dev/rules/j4flmao/agent-skills/distributed-safeguards"><img src="https://agentmods.dev/badge/rules/j4flmao/agent-skills/distributed-safeguards/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/rules/j4flmao/agent-skills/distributed-safeguards"><img src="https://agentmods.dev/badge/rules/j4flmao/agent-skills/distributed-safeguards.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 | $0.00016 | $0.00276 |
| Opus 5.5 | $0.00006 | $0.00110 |
| Sonnet 5.5 | $0.00003 | $0.00055 |
| Haiku 4.5 | $0.00002 | $0.00028 |
Grade A, and why
distributed-safeguards 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 1mo 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.
requests.get("https://api.example.com/data") What it actually says
Distributed Systems Safeguards
Cursor/AI MUST follow these rules when writing code that involves network requests, distributed state, or microservices.
1. Embrace the Fallacies of Distributed Computing
- Rule: Never assume the network is reliable, latency is zero, or bandwidth is infinite.
- Action: All cross-service HTTP/gRPC calls MUST be wrapped in Retries with Exponential Backoff and Jitter. Never use a hardcoded infinite retry.
2. Strict Idempotency
- Rule: If a system performs a state-changing operation (POST, PUT, DELETE), it MUST be designed to be idempotent.
- Action: Use
Idempotency-Keyheaders or database unique constraints. If a client sends a "Charge Credit Card" request twice due to a network timeout, the server must not charge the user twice.
3. Timeout Definitions
- Rule: Never make a network request without explicitly defining a Timeout.
# BAD requests.get("https://api.example.com/data") # GOOD requests.get("https://api.example.com/data", timeout=5.0)
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.
- 1mo ago First seen · 27 lines · 16 tokens per session scan A c27b6f347e76
distributed-safeguards is a cursor rule published in the GitHub repository j4flmao/agent-skills (33 stars, last pushed 10d ago), licensed MIT. It adds 16 tokens to every session and 276 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-05.
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