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 aivrar/portable-hermes-agent --skill tldraw-offlinegit clone --depth 1 https://github.com/aivrar/portable-hermes-agentWrote 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/aivrar/portable-hermes-agent/tldraw-offline)<a href="https://agentmods.dev/skills/aivrar/portable-hermes-agent/tldraw-offline"><img src="https://agentmods.dev/badge/skills/aivrar/portable-hermes-agent/tldraw-offline/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/aivrar/portable-hermes-agent/tldraw-offline"><img src="https://agentmods.dev/badge/skills/aivrar/portable-hermes-agent/tldraw-offline.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 | $0.00019 | $0.04009 |
| Opus 5 | $0.00010 | $0.02005 |
| Sonnet 5 | $0.00004 | $0.00802 |
| Haiku 4.5 | $0.00002 | $0.00401 |
Grade A, and why
tldraw-offline 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.
with plain `curl` from its terminal — this is exactly how the app's own homepage This is a copy
100% identical to tldraw-offline — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 279 lines — stays where its author put it; the contents beside it link to each section on GitHub.
tldraw offline Skill
Work with the tldraw offline desktop app (offline.tldraw.com): read the open
canvas, make edits, and write document scripts — JavaScript embedded in a
.tldraw file that runs on load and gives the file durable behavior. The app
runs a local HTTP API (default localhost:7236) that a coding agent drives
with plain curl from its terminal — this is exactly how the app's own homepage
demo (Codex editing a canvas live) works. The agent does NOT use computer-use /
GUI clicking, and does NOT hand-edit the .tldraw file directly. Keep tldraw
offline open while you work.
When to Use
- The user has tldraw offline open and asks you to build or modify a canvas (diagrams, wireframes, layouts).
- You want to add durable behavior to a drawing (reactive shapes, interactive buttons, animation, connection logic) via an embedded document script.
Do NOT hand-place shapes to imitate a drawing — write the code that generates them. Agents are far better at scripting the canvas than at drawing on it.
Prerequisites
- tldraw offline installed and running, with a document open. Releases:
https://github.com/tldraw/tldraw-offline/releases/latest (macOS DMG, Windows
x64/Arm64, Linux
x86_64/arm64AppImage or amd64/arm64.deb). - Agent skills installed in the app:
Develop → Install Agent Skills. The app writes its own tldraw skill into~/.codex/skills/,~/.claude/skills/,~/.cursor/skills/, and~/.gemini/skills/— teaching that agent thecurlrecipes below. (This Hermes skill mirrors that guidance for Hermes.) - The local control API. On launch the app writes
server.jsonto its config dir (Linux~/.config/tldraw/, macOS~/Library/Application Support/tldraw/, Windows%APPDATA%\tldraw\) withport(default7236), a bearertoken,pid, andstartedAt. Every request exceptGET /needsAuthorization: Bearer <token>. A clean quit removesserver.json; if it's present but the port doesn't answer, the app quit uncleanly — treat as not running. - Re-read port + token on EVERY shell call. Each terminal call is a fresh
shell, so an
exported token does not persist — "export once and reuse" sends an empty token and 401s. Read both inline at the top of each call:PORT=$(jq -r .port <server.json>); TOKEN=$(jq -r .token <server.json>). - No account or network needed for local editing.
What ships with it
3 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.
- 12d ago First seen · 279 lines · 19 tokens per session scan A a3c4ce28121e
tldraw-offline is a skill published in the GitHub repository aivrar/portable-hermes-agent (217 stars, last pushed 2d ago), licensed MIT. It adds 19 tokens to every session and 4,009 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to tldraw-offline, differing in 0 lines, and is treated as a copy.
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