Daemon logo

Daemon

CommunityPopular
danielmiessler
Daemon

Manage the public daemon profile — a digital representation of what you're working on. DaemonAggregator reads LifeOS sources (TELOS, KNOWLEDGE, PROJECTS, MEMORY/WORK, identity) → daemon-data.json. SecurityFilter strips names/paths/credentials via deterministic patterns (NOT LLM). Workflows: UpdateDaemon, ReadDaemon, PreviewDaemon, DeployDaemon. USE WHEN daemon, update daemon, daemon profile, deploy daemon, preview daemon, read daemon, public profile, digital presence. NOT FOR LifeOS system management.

Overview

Publisherdanielmiessler
RepositoryLifeOS
Skill nameDaemon
Stars
19K
Forks
2.5K
Bundled files
7
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 7 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by danielmiessler on GitHub. Read the source before you install it.

Installation

Install the Daemon AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/danielmiessler/LifeOS.git /tmp/LifeOS
mkdir -p .claude/skills
cp -r /tmp/LifeOS/LifeOS/install/skills/Daemon .claude/skills/Daemon
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Daemon in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Daemon on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Daemon is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Customization

Before executing, check for user customizations at: ~/.claude/LIFEOS/USER/CUSTOMIZATIONS/SKILLS/Daemon/

If this directory exists, load and apply any SecurityOverrides.md or PREFERENCES.md found there. These override default security classification. If the directory does not exist, proceed with skill defaults.

Voice Notification

bash
curl -s -X POST http://localhost:31337/notify \
  -H "Content-Type: application/json" \
  -d '{"message": "Running the WORKFLOWNAME workflow in the Daemon skill to ACTION"}' \
  > /dev/null 2>&1 &

Daemon Skill

What It Does

Manages your public daemon profile — a living page of what you're working on, thinking about, reading, and building. It pulls data from your LifeOS system, runs it through a deterministic security filter so only publicly safe content survives, and deploys a static site. Workflows cover update, read, preview, and deploy.

The Problem

You want a public presence that stays current without hand-editing a profile page every week, and without ever leaking private data. Your real context lives in LifeOS — goals, projects, ideas, identity — mixed with things that must never go public: contacts, finances, health, names, paths, credentials. Manually copying the safe parts is slow and one slip publishes something you can't take back. This skill aggregates the safe sources, blocks the sensitive ones at the code level, and gives you a preview-then-approve gate before anything ships.

How It Works

The DaemonAggregator reads LifeOS sources and merges them into daemon-data.json; a deterministic SecurityFilter (pattern matching, not an LLM) strips names, paths, credentials, and internal refs; the deploy step builds a fully static site. Sensitive files are never opened by the aggregator at all.

Workflow Routing

WorkflowTriggerFile
UpdateDaemon"update daemon", "refresh daemon"Workflows/UpdateDaemon.md
ReadDaemon"read daemon", "check daemon", "daemon status"Workflows/ReadDaemon.md
PreviewDaemon"preview daemon", "daemon diff"Workflows/PreviewDaemon.md
DeployDaemon"deploy daemon", "push daemon", "ship daemon"Workflows/DeployDaemon.md

Architecture

Two-repo pattern: public framework + private content.

LifeOS SOURCES (private, read-only)
  TELOS/ (missions, goals, books, movies, wisdom)
  KNOWLEDGE/Ideas/ (title + thesis only)
  PROJECTS.md (public projects only)
  MEMORY/WORK/ (abstracted to topic themes)
  PRINCIPAL_IDENTITY.md (public bio data)
    ├──[DaemonAggregator.ts]──→ Reads sources, merges with existing data
    ├──[SecurityFilter.ts]──→ Deterministic code-level allowlist filter
    │                          Strips names, paths, credentials, internal refs
    │                          NOT an LLM filter — enforced by pattern matching
    └──→ daemon-data.json → ~/Projects/daemon-dm/ (PRIVATE repo)
              ├──[Tools/DeployGate.ts]──→ Deterministic pre-deploy gate (blocks on
              │                            expired/ungated ephemera, street-address/ZIP/
              │                            coordinate/home-area strings, unapproved
              │                            real-time phrasing, credentials, private feed URLs)
              └──[deploy.sh]──→ Copies JSON into framework → VitePress build → Cloudflare WORKER
                              ~/Projects/daemon/ (PUBLIC repo — forkable framework)
                              src/worker.ts (generic):
                                • /daemon-data.json — served through the edge with expired
                                  ephemera STRIPPED at request time (status/now/offerings/
                                  requesting items with past `expires`; non-default location
                                  falls back to location_default)
                                • /feed.json — live-activity items aggregated every 30 min
                                  (cron + lazy refresh) from PUBLIC sources only, configured
                                  in daemon-data.json `feeds` (rss | beehiiv | github | x);
                                  cached in KV FEED_KV
                                • secrets (CF worker secrets, never in code): X_BEARER_TOKEN,
                                  BEEHIIV_API_KEY

    STRUCTURALLY EXCLUDED (never read):
          CONTACTS.md, FINANCES/, HEALTH/, TRAUMAS.md,
          KNOWLEDGE/People/, KNOWLEDGE/Companies/,

Skill Structure

skills/Daemon/
├── SKILL.md              (this file)
├── Tools/
│   ├── DaemonAggregator.ts   (reads LifeOS sources → daemon-data.json)
│   └── SecurityFilter.ts     (deterministic content sanitizer)
├── Workflows/
│   ├── UpdateDaemon.md       (aggregate → preview → approve → deploy)
│   ├── ReadDaemon.md         (read current daemon-data.json)
│   ├── PreviewDaemon.md      (show diff without deploying)
│   └── DeployDaemon.md       (bash deploy.sh from daemon-dm)
└── Docs/
    └── SecurityClassification.md  (public/private data categories)

Important Paths

PurposePath
Private data repo~/Projects/daemon-dm/
daemon-data.json~/Projects/daemon-dm/daemon-data.json
Deploy script~/Projects/daemon-dm/deploy.sh
Public framework repo~/Projects/daemon/
Security classification${LIFEOS_SKILL_DIR}/Docs/SecurityClassification.md
Security overrides${LIFEOS_USER_DIR}/CUSTOMIZATIONS/SKILLS/Daemon/SecurityOverrides.md

Live Endpoints

EndpointPurpose
daemon.example.comPublic website (Cloudflare Pages, fully static)

Security Philosophy

  1. Private by default: All data is private until explicitly classified as public
  2. Code-level enforcement: SecurityFilter.ts is deterministic pattern matching, NOT LLM judgment
  3. Structural exclusion: Sensitive files (CONTACTS, FINANCES, HEALTH) are never opened by the aggregator
  4. Defense in depth: Aggregator filter + SecurityFilter + pre-commit hook + manual approval
  5. Fail closed: If uncertain, exclude the content

Data Sources

The DaemonAggregator reads from these LifeOS sources. Every source is read only if present (existsSync-guarded) — installs using the unified single-file TELOS.md layout won't have the per-file TELOS sources below, and the aggregator skips them cleanly (--sources shows per-source OK/MISSING status):

SourceWhat's ExtractedSection
TELOS/MISSION.mdM1, M2 (public missions)[MISSION]
TELOS/GOALS.mdPublic project goals[TELOS]
TELOS/BOOKS.mdBook titles[FAVORITE_BOOKS]
TELOS/MOVIES.mdMovie titles[FAVORITE_MOVIES]
TELOS/WISDOM.mdTop 5 quotes[WISDOM]
KNOWLEDGE/Ideas/_index.md10 recent Ideas (title + thesis)[RECENT_IDEAS]
PROJECTS.mdPublic repos and sitesProjects integration
MEMORY/WORK/Topic themes (last 14 days)[CURRENTLY_WORKING_ON]
PRINCIPAL_IDENTITY.mdPublic bio, role, focus[ABOUT]
Existing daemon.mdPreserved sections (predictions, routine, podcasts, preferences)Various

For Community Forks

This skill is designed to be generic:

  1. Fork the public Daemon repo
  2. Create your own private data repo with daemon-data.json
  3. Configure with your own blocked names/paths
  4. The aggregator reads from standard LifeOS directory structure
  5. Use deploy.sh to build and deploy to your own Cloudflare Pages

Examples

Example 1: Full update cycle

User: "update daemon"
→ Aggregates LifeOS data sources
→ Applies security filter (deterministic)
→ Shows preview diff to user
→ User approves
→ Writes daemon-data.json to daemon-dm → deploys static site

Example 2: Check what's current

User: "check daemon"
→ Reads daemon-data.json from daemon-dm
→ Shows section-by-section status

Example 3: Preview before committing

User: "preview daemon"
→ Runs aggregator in preview mode
→ Shows diff against current daemon-data.json
→ No writes, no deploys

Gotchas

  • Two repos: Public framework (~/Projects/daemon/) and private content (~/Projects/daemon-dm/). The framework is forkable. The content is yours.
  • deploy.sh runs DeployGate FIRST, then copies data into the framework at build time, then cleans up. A gate failure blocks the deploy — fix the data, never bypass the gate. Personal data never gets committed to the public repo.
  • SecurityFilter is code, not prompts. If you need to add new blocked patterns, edit SecurityFilter.ts, not the workflow markdown.
  • Ephemera needs expires. status, now (via now_meta), time-bound offerings/requesting items, and any non-default location all carry ISO expires fields. Three enforcement layers: DeployGate (blocks), the worker (strips at serve time), the dashboard (hides client-side). Refreshing a stale status = edit daemon-data.json with a new expires and run deploy.sh.
  • Location doctrine: coarse by default, real-time by exception. City/region granularity only; street/ZIP/coordinate/home-area strings are gate-blocked. "Tonight/I'm at" phrasing requires an explicit realtime_approved: true on that item — reserved for events where the principal WANTS to be findable. No automatic GPS/calendar pipeline; location changes only on explicit command.
  • The live feed is public-exhaust only. The worker polls blog RSS, Beehiiv (official API), YouTube RSS, GitHub public events, and the owner's own X posts — already-published content, zero privacy risk by construction. Never add a LifeOS-internal source to feeds.
  • Beehiiv blocks RSS scrapers (403). The newsletter source uses the official Beehiiv API (type: "beehiiv" + BEEHIIV_API_KEY worker secret), not the /feed URL.
  • Serving is edge-dynamic, page shell is static. /daemon-data.json and /feed.json are computed per-request by the worker (run_worker_first); the rest is static assets. Data changes still require deploy.sh; feed content refreshes itself.
  • The upstream framework repo publishes a GENERATED template (merge-back doctrine). Its main branch is a clean generic template published from a scrubbed staging copy, never a working tree pushed directly: the template excludes analytics, licensed fonts, favicons, and all personal content, and its identity is data-driven (owner_name/owner_handle/fork_url in daemon-data.json). The publish workflow is maintainer-side and does not ship; on an installed system your daemon content lives in your own private repo and only the framework is forkable.

Execution Log

After completing any workflow, append a single JSONL entry:

bash
echo '{"ts":"'$(date -u +%Y-%m-%dT%H:%M:%SZ)'","skill":"Daemon","workflow":"WORKFLOW_USED","input":"8_WORD_SUMMARY","status":"ok|error","duration_s":SECONDS}' >> ~/.claude/LIFEOS/MEMORY/SKILLS/execution.jsonl

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Daemon AI skill do?

Manage the public daemon profile — a digital representation of what you're working on. DaemonAggregator reads LifeOS sources (TELOS, KNOWLEDGE, PROJECTS, MEMORY/WORK, identity) → daemon-data.json. SecurityFilter strips names/paths/credentials via deterministic patterns (NOT LLM). Workflows: UpdateDaemon, ReadDaemon, PreviewDaemon, DeployDaemon. USE WHEN daemon, update daemon, daemon profile, deploy daemon, preview daemon, read daemon, public profile, digital presence. NOT FOR LifeOS system management.

Why use Daemon on TypingMind?

Because you install it once and use it with any model. Daemon is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Daemon in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/danielmiessler/LifeOS/tree/main/LifeOS/install/skills/Daemon. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Daemon?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Daemon?

As many as you like. As long as a model supports skills, you can use Daemon with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Daemon AI skill free?

Yes. It is published on GitHub by danielmiessler under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇