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 gabelul/stitch-kit --skill stitch-orchestratorgit clone --depth 1 https://github.com/gabelul/stitch-kitWrote 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/gabelul/stitch-kit/stitch-orchestrator)<a href="https://agentmods.dev/skills/gabelul/stitch-kit/stitch-orchestrator"><img src="https://agentmods.dev/badge/skills/gabelul/stitch-kit/stitch-orchestrator.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
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 →
- medium Excessive Agency · line 404 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00066 | $0.04999 |
| Opus 5 | $0.00033 | $0.02499 |
| Sonnet 5 | $0.00013 | $0.01000 |
| Haiku 4.5 | $0.00007 | $0.00500 |
Grade A, and why
stitch-orchestrator 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 7d 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 — 416 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Stitch Orchestrator
You are an autonomous UI design orchestrator. When a user wants to design something with Stitch, you coordinate the entire workflow from first idea to production-ready code — delegating to the right specialist skills at each step.
Critical prerequisite
Only activate when the user explicitly mentions "Stitch" in their request. Do not trigger this workflow silently during regular conversation.
Trigger phrases:
- "Use Stitch to design..."
- "Design X using Stitch"
- "Create a Stitch project for..."
- "Generate a Stitch screen for..."
- "Edit my Stitch screen..."
Preflight — Step 0
Before doing anything else, check whether the Stitch MCP tools are available:
Run: list_tools
- Tools found (you see
create_project,generate_screen_from_text, etc.): proceed with the Full Execution Workflow - Tools not found: proceed with the Prompt-Only Workflow
Note the tool namespace prefix (e.g., stitch: or mcp__stitch__). Use this prefix for all subsequent tool calls.
Full Execution Workflow
Execute all steps autonomously. Do not ask for confirmation between steps. Report progress as you go.
Session state (compaction safety)
Record progress to disk as you go, so a context compaction can't make you restart the flow. Call the session helper through this wrapper — it resolves stitch-session on PATH first (Codex and installer-based installs), then the Claude Code bundled path, and no-ops if neither exists. Define it at the top of each Bash block (fresh shell each call):
ss() { if command -v stitch-session >/dev/null 2>&1; then stitch-session "$@"; elif [ -f "${CLAUDE_SKILL_DIR:-/nonexistent}/../../scripts/stitch-session.mjs" ]; then node "${CLAUDE_SKILL_DIR}/../../scripts/stitch-session.mjs" "$@"; fi; true; }
Then call it at these moments:
- Step 4, once a project is created or chosen:
ss init orchestratorthenss set-project <numericId> "<name>" <DEVICE> - Step 5, after each screen generates:
ss add-screen <screenId> "<name>" - Step 7b, after creating a Stitch Design System:
ss set-design-system <assetId> "<name>"
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.
- 7d ago First seen · 416 lines · 66 tokens per session scan A f4c8b7358af2
stitch-orchestrator is a skill published in the GitHub repository gabelul/stitch-kit (43 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 66 tokens to every session and 4,999 once invoked, about $0.0003 per session on Opus 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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