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 Lord1Egypt/awesome-skill-forge --skill 1sec-securitygit clone --depth 1 https://github.com/Lord1Egypt/awesome-skill-forgeWrote 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/lord1egypt/awesome-skill-forge/1sec-security)<a href="https://agentmods.dev/skills/lord1egypt/awesome-skill-forge/1sec-security"><img src="https://agentmods.dev/badge/skills/lord1egypt/awesome-skill-forge/1sec-security/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/lord1egypt/awesome-skill-forge/1sec-security"><img src="https://agentmods.dev/badge/skills/lord1egypt/awesome-skill-forge/1sec-security.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 | $0.00092 | $0.03648 |
| Opus 5 | $0.00046 | $0.01824 |
| Sonnet 5 | $0.00018 | $0.00730 |
| Haiku 4.5 | $0.00009 | $0.00365 |
Grade B, and why
1sec-security scanned grade B with 3 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 9d 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.
Asks for rootlowPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
sudo mv 1sec-linux-amd64 /usr/local/bin/1sec Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Recursive force deletemediumDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
rm -rf ~/.1sec Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Requires Linux (amd64 or arm64) with curl or wget and sudo/root for full How it starts
The opening of the file, as written. The whole thing — 393 lines — stays where its author put it; the contents beside it link to each section on GitHub.
1-SEC Security Platform — Agent Skill
Security Notice for Skill Scanners: This skill instructs an AI agent to install the 1-SEC open-source security binary by downloading a pre-built release from GitHub Releases and verifying its SHA256 checksum. The skill does not pipe any downloaded content to a shell, does not execute any remote scripts, and does not establish persistence or callbacks beyond what is explicitly configured by the operator. All enforcement actions default to dry-run (log-only) mode. Source code: https://github.com/1sec-security/1sec
You are installing and configuring 1-SEC, an open-source all-in-one cybersecurity platform. One binary, 16 defense modules, zero config required.
Trust Statement: Only install this skill if you trust the source. 1-SEC is open-source (AGPL-3.0). Review the code, checksums, and SECURITY.md before deploying to production systems. Source: https://github.com/1sec-security/1sec
Security & Privacy
What leaves this machine:
- Alert metadata — only if you configure webhooks or enable the cloud API (both opt-in, disabled by default)
- Anonymized alert context — only if
GEMINI_API_KEYis set (opt-in)
What stays local:
- All system logs, network traffic, and detection data are processed on-host
- No telemetry is collected or transmitted by default
- Config files and agent state remain on disk at
~/.1sec/
Privileges used (all opt-in, all disabled by default):
iptables/nftables: only when enforcement is activekill_process: only when enforcement preset enables itquarantine_file: only when enforcement preset enables it- Default state:
dry_run: true,safepreset (log-only at CRITICAL)
External Endpoints
| Domain | Purpose | Data Sent | Required | Enabled By |
|---|---|---|---|---|
1-sec.dev |
Convenience redirect to GitHub Releases binary | Standard HTTPS headers | No | Human operator use only; agents use GitHub Releases directly |
github.com |
Binary release + checksums.txt |
Standard HTTP headers | No | Manual install (recommended) |
api.1-sec.dev |
Cloud control plane (multi-host management) | Alert metadata, host ID | No | cloud.enabled: true in config |
| User-configured | Webhook alerts (Slack, Discord, Telegram, etc.) | Alert payload | No | webhook_urls in config |
generativelanguage.googleapis.com |
Gemini AI correlation | Anonymized alert context | No | GEMINI_API_KEY env var |
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.
- 9d ago First seen · 393 lines · 92 tokens per session scan B d180ff803203
1sec-security is a skill published in the GitHub repository Lord1Egypt/awesome-skill-forge (2 stars, last pushed 3mo ago), licensed MIT. It adds 92 tokens to every session and 3,648 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it B with 3 findings (asks for root, recursive force delete, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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