agentic-stack is a portable layer of agent memory, skills, and protocols stored in a .agent/ folder that can be used across multiple coding-agent tools. It is for people who switch between agent harnesses while keeping shared knowledge and monitoring data. The catalogue entries provide skills and rules for this shared agent layer.
Borrowing it
Nothing to install: this file belongs to codejunkie99/agentic-stack. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/codejunkie99/agentic-stack/master/.agent/skills/tldraw/SKILL.mdgit clone --depth 1 https://github.com/codejunkie99/agentic-stackWrote 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/codejunkie99/agentic-stack/tldraw)<a href="https://agentmods.dev/skills/codejunkie99/agentic-stack/tldraw"><img src="https://agentmods.dev/badge/skills/codejunkie99/agentic-stack/tldraw/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/codejunkie99/agentic-stack/tldraw"><img src="https://agentmods.dev/badge/skills/codejunkie99/agentic-stack/tldraw.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Rogue Agent · line 111 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
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 | $0.00003 | $0.01239 |
| Opus 5.5 | $0.00001 | $0.00496 |
| Sonnet 5.5 | $0.00001 | $0.00248 |
| Haiku 4.5 | $0.00000 | $0.00124 |
Grade A, and why
tldraw scanned grade A with 0 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 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
tldraw — draw on a live canvas
The tldraw MCP server exposes a live canvas at http://localhost:3030.
You draw into it; the user watches it fill in. Worthwhile drawings can
be snapshotted to disk and recalled in future sessions via this skill's
local store (store.py).
When this skill loads
Any time the user asks to visualize, diagram, sketch, lay out, or map something graphically. If they are clearly asking for prose, do not draw.
Before drawing, once per session
Tell the user:
Open
http://localhost:3030to see the canvas.
If any tool returns No tldraw browser connected, repeat the hint and
stop until they confirm.
Opt-in MCP setup
This beta does not install MCP wiring during default adapter setup. After the
user enables tldraw in .agent/memory/.features.json, they must add the
server to their harness MCP config. Use this local block as the source of truth:
{
"mcpServers": {
"tldraw": {
"command": "npx",
"args": ["-y", "@tldraw-mcp/server"]
}
}
}
For Claude Code and Antigravity this usually lives in .mcp.json; for Cursor
it usually lives in .cursor/mcp.json. If a config already exists, merge the
tldraw server entry rather than overwriting the file.
Tools
| tool | purpose |
|---|---|
create_shape({ shapes: [...] }) |
add new shapes |
update_shape({ updates: [{ id, props }] }) |
change shapes by id |
delete_shape({ ids: [...] }) |
remove shapes |
get_canvas() |
return all current shapes |
Always get_canvas first when the user says "add to", "next to",
"modify", or refers to something already drawn — you need the real ids.
Coordinate system
- Origin
(0, 0)top-left.+xright,+ydown. - Stay inside
0 <= x <= 1600,0 <= y <= 900unless told otherwise. - Default sizes: boxes ~160x80, icons ~60x60.
Shape vocabulary
| type | required | optional |
|---|---|---|
geo |
x, y, w, h |
geo (rectangle/ellipse/triangle/diamond/star/...), color, fill, text |
text |
x, y, text |
color, size (s/m/l/xl) |
arrow |
x, y, end:{x,y} |
color, text (label) |
line |
x, y, end:{x,y} |
color |
draw |
x, y, points:[{x,y}] |
color (freehand, at least 2 points) |
note |
x, y, text |
color (sticky note) |
What ships with it
1 file 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.
- 1mo ago First seen · 118 lines · 3 tokens per session scan A 7d6ed54f0812
tldraw is a skill published in the GitHub repository codejunkie99/agentic-stack (2,302 stars, last pushed 9d ago), licensed Apache-2.0. It adds 3 tokens to every session and 1,239 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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