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 agentmods add skills/danielmiessler/lifeos/redteamnpx skills add danielmiessler/LifeOS --skill redteamgit clone --depth 1 https://github.com/danielmiessler/LifeOSWrote 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/danielmiessler/lifeos/redteam)<a href="https://agentmods.dev/skills/danielmiessler/lifeos/redteam"><img src="https://agentmods.dev/badge/skills/danielmiessler/lifeos/redteam.svg" alt="Measured on agentmods" 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 | $0.00090 | $0.01236 |
| Opus 5 | $0.00045 | $0.00618 |
| Sonnet 5 | $0.00018 | $0.00247 |
| Haiku 4.5 | $0.00009 | $0.00124 |
Grade A, and why
RedTeam 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 4d 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.
curl -s -X POST http://localhost:31337/notify \ How it starts
The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Customization
Before executing, check for user customizations at:
~/.claude/LIFEOS/USER/CUSTOMIZATIONS/SKILLS/RedTeam/
If this directory exists, load and apply any PREFERENCES.md, configurations, or resources found there. These override default behavior. If the directory does not exist, proceed with skill defaults.
🚨 MANDATORY: Voice Notification (REQUIRED BEFORE ANY ACTION)
You MUST send this notification BEFORE doing anything else when this skill is invoked.
-
Send voice notification:
curl -s -X POST http://localhost:31337/notify \ -H "Content-Type: application/json" \ -d '{"message": "Running the WORKFLOWNAME workflow in the RedTeam skill to ACTION"}' \ > /dev/null 2>&1 & -
Output text notification:
Running the **WorkflowName** workflow in the **RedTeam** skill to ACTION...
This is not optional. Execute this curl command immediately upon skill invocation.
RedTeam Skill
What It Does
Attacks ideas, strategies, and plans to find their weak points before reality does. It breaks an argument into atomic claims, deploys many parallel expert agents (engineers, architects, pentesters, interns) to stress-test each one, then synthesizes the findings into a steelman of the argument plus the strongest counter-argument against it.
The Problem
People fall in love with their own plans. Once you've committed to an idea, your brain hunts for reasons it works and skips past the reasons it doesn't — and the people around you are often too polite or too aligned to push hard. So flawed strategies sail through unchallenged until they fail in production, in the market, or in the meeting where someone finally asks the hard question. This skill is the hard question, run many ways at once: it attacks the argument deliberately and at volume so the weak points surface while they're still cheap to fix.
How It Works
Military-grade adversarial analysis using parallel agent deployment. It breaks arguments into atomic components, attacks from many expert perspectives (engineers, architects, pentesters, interns), synthesizes findings, and produces sharp counter-arguments alongside the steelman version of the case. Targets arguments, not network vulnerabilities.
What ships with it
4 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.
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.
- 4d ago First seen · 125 lines · 90 tokens per session scan A 16da81665ee1
RedTeam is a skill published in the GitHub repository danielmiessler/LifeOS (18,872 stars, last pushed 20d ago), licensed MIT. It adds 90 tokens to every session and 1,236 once invoked, about $0.0005 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 2026-08-30.
Other skills, from other repositories
echo-plugins
Build, validate, package, and stage optional Echo plugins using the Echo Plugin API v1 security and lifecycle contracts.
browser-spa-framework
Architecture/conventions for the Echo browser SPA: Go stdlib server :3740, Vite-built TS+JS SPA (embedded web/dist), JSON envelope, WebSocket hub, chat tool loop, shared appdata echo.json, internal/tools registry, tool-generated media transport (Phase 0/1), and the file-browser image/video/audio preview surface…
global-notifications
How Echo surfaces cross-surface/cross-tab alerts to the user: global WebSocket broadcasts (chatcompleted, planquestionsawaiting) mirrored by frontend notification modules that play sounds, show OS/browser Notifications, and deep-link on click.
image-to-code
Elite website image-to-code skill for Codex. For visually important web tasks, it must first generate the design image(s) itself, deeply analyze them, then implement the website to match them as closely as possible. In Codex, it must prefer large, readable, section-specific images instead of tiny compressed boards…
reddit-snipe
Reddit 截流。在 coding agent / Claude Code / AI dev tool 的高互动帖下,以 pikiloom builder 身份自动发现→起草→自我批判→护栏→(按 posture)发布英文 peer 评论,并记录+度量。English-first。话术统一来自 promo/pitch.md;可由 promo/orchestrate.md 无人值守驱动。.
lc-curate-context
Decide which files a task actually needs, record that as a reusable llm-context rule, verify it against the codebase - including the files your selection references but leaves out - and pack it for your own context, a chat, or a sub-agent you dispatch. Load when choosing what code to put in front of a model, packing…