deploy

A deployment procedure for copying SYNAPSE changes from the repository into Houdini's preference files. It also checks whether the installed files match the source files.

In plain words
What is it for?
Use it to preview, install, verify, or uninstall SYNAPSE files, and to report whether Houdini needs a restart.
Why use it?
It reduces the risk of editing or running an outdated deployed copy. It also clarifies when Houdini must be restarted or a panel reopened.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/josephoibrahim/synapse/deploy
Any agent
npx skills add JosephOIbrahim/Synapse --skill deploy
Clone the repo
git clone --depth 1 https://github.com/JosephOIbrahim/Synapse

Made for: Claude Code, Codex.

Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 210 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.00210
Opus 5 $0.00000 $0.00105
Sonnet 5 $0.00000 $0.00042
Haiku 4.5 $0.00000 $0.00021

Measured 2d ago against content hash cf1397239058, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

deploy 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 2d 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.

.claude/skills/deploy/SKILL.md · 19 lines

What it actually says

Deploy SYNAPSE

Deploy changes from repo source to Houdini prefs via the installer.

Workflow

  1. Verify source: Confirm all changes are in the repo source (~/.synapse/houdini/) — NOT in deployed copies (~/houdini21.0/)
  2. Run installer: Execute python ~/.synapse/install.py to redeploy shelf, panel, toolbar, and icons
  3. Confirm deployment: Check file timestamps in ~/houdini21.0/ match the source
  4. Report: List what changed and whether Houdini needs to be restarted to pick up the changes

Notes

  • Use --dry-run to preview what would be copied without making changes
  • Use --verify to check current deployment matches source
  • Use --uninstall to remove all Synapse files from Houdini prefs
  • Panel changes require closing and reopening the Python Panel tab in Houdini
  • Shelf changes require restarting Houdini
Changes

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.

  1. 2d ago First seen · 19 lines · 0 tokens per session scan A cf1397239058

Subscribe to this mod's changes

deploy is a skill published in the GitHub repository JosephOIbrahim/Synapse (10 stars, last pushed 10d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 210 tokens. 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 2026-08-31.

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